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Neuron Digest   Sunday, 13 Apr 1997                Volume 97 : Issue 18

Today's Topics:
                                 Re: GMDH
                    3+3 yrs research position at SISSA
                      ICES98: First Call for Papers
        Book Announcement: Evolution of Parallel Cellular Machines
                      Scientific Conference Calendar
                      TANC-97 Call for Participation
           Modern Regression and Classification - New York City


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----------------------------------------------------------------------

Subject: Re: GMDH
From:    "Alexey Ivakhnenko" <gai@poryat.freenet.viaduk.net>
Organization: Glushkov Inst. of Cybernetics, Kyiv (Ukraina)
Date:    Wed, 09 Apr 1997 12:07:08 +0300

 Hello,

 Ricardo Linden wrote,
> I'm a Brazilian researcher doing some work on time series
> prediction and I would like to know if someone has some good
> references on the GMDH network.

Review of this approach is now available at http:\\www.inf.kiev.ua\GMDH-home\

The Group Method of Data Handling (GMDH) is used for complex systems
modelling. It is based on sorting-out of gradually complicated models
and evaluation of them by external criterion on separate part of data
sample. As input variables can be used any parameters, which can
influence on the process. Computer is found structure of model and
laws which acts in the object itself.

You can try to check out papers  _review.zip  and  ann_gmdh.zip  from
ftp://ftp.gu.kiev.ua/pub/text/science/GMDH

The GMDH theory and source code of some algorithms was also published in
     "Inductive Learning Algorithms for Complex System Modeling",
      Madala H.R. and Ivakhnenko A.G., 1994, ISBN: 0-8493-4438-7, CRC Press; and
     "Self-organizing Methods in Modelling (Statistics: Textbooks and
      Monographs,vol.54)", Farlow, S.J. (ed.), 1984, ISBN: 0-8247-7161-3,
      Marcel Dekker Inc.

Regards,

Alexey


- --
  ,__.-_    Prof. Alexey Ivakhnenko            http://www.inf.kiev.ua/GMDH-home
 /   +  ~|  Glushkov Institute of Cybernetics     gai@poryat.freenet.viaduk.net
 \-.__ _-~  Department of Complex Systems Modeling        fax: +380 44 449-1070
   / <_\    Ukraina  252034, Kyiv PO Box 298-9                 gai@gmdh.kiev.ua



------------------------------

Subject: 3+3 yrs research position at SISSA
From:    Alessandro Treves <ale@limbo.ilas.sissa.it>
Date:    Thu, 10 Apr 1997 12:48:22 +0700

S.I.S.S.A., the International School for Advanced Studies of Trieste, Italy,
is an interdisciplinary postgraduate research institute directly supported by
the Italian Ministry for Universities and Research. Its working language is
English and non-Italian Ph.D. students, postdocs and faculty comprise about a
third of the total. A new sector, Cognitive Neuroscience, has been operating 
within S.I.S.S.A. since November, 1995. A 

                         SENIOR RESEARCH POSITION  
                             for research on
       INFORMATION PROCESSING AND PLASTICITY IN SOMATOSENSORY CORTEX

is to be assigned in the CNS sector, for 3 years renewable for a further 3. 
The gross salary will be of the order of ItL. 4.800.000 (taxes will depend on 
details of the personal situation; typically, the net salary can be of the 
order of ItL. 3.500.000). 

Essential requisites are extensive experience in system level neurophysiology 
and research productivity, as demonstrated through publications in the most 
prestigious journals.

Those interested to apply are invited to send a curriculum vitae and list of 
publications to the following address:

Senior Research Position
Scientific Secretariat              secret@sissa.it
SISSA                               tel:+39-40-3787453
Via Beirut 2-4                      fax:+39-40-3787528
34014 Trieste, Italy

Recommendation letters are also welcome. The deadline (for at least an
e-mail or fax notification of a forthcoming application) is April, 15th.


------------------------------

Subject: ICES98: First Call for Papers
From:    Moshe Sipper <moshe.sipper@di.epfl.ch>
Date:    Thu, 10 Apr 1997 08:52:28 +0200


                         First Call for Papers

         +--------------------------------------------------+
         | Second  International  Conference  on  Evolvable |
         | Systems:  From  Biology  to  Hardware  (ICES98)  |
         +--------------------------------------------------+

      Swiss Federal Institute of Technology, Lausanne, Switzerland.
                         September 24-26 1998


    The idea of evolving machines, whose origins can be traced to the
cybernetics movement of the 1940s and the 1950s, has recently resurged
in the form of the nascent field of bio-inspired systems and
evolvable hardware.  The inaugural workshop, Towards Evolvable
Hardware, took place in Lausanne in October 1995, followed by the
First International Conference on Evolvable Systems: From Biology to
Hardware (ICES96), held in Japan in October 1996.

    Following the success of these past events, ICES98 will reunite
this burgeoning community, presenting the latest developments in the
field, bringing together researchers who use biologically inspired
concepts to implement real systems in artificial intelligence,
artificial life, robotics, VLSI design, and related domains. Topics to
be covered will include, but not be limited to, the following list:

    o Evolving hardware systems.  
    o Evolutionary hardware design methodologies.  
    o Evolutionary design of electronic circuits. 
    o Self-replicating hardware. 
    o Self-repairing hardware. 
    o Neural hardware.  
    o Adaptive hardware platforms.
    o Autonomous robots.  
    o Evolutionary robotics.  
    o Bio-robotics.
    o Applications of nanotechnology. 
    o Biological- or chemical-based systems. 
    o DNA computing.


General chair: Daniel Mange, Swiss Federal Institute of Technology 
(Switzerland)

Program chair: Moshe Sipper, Swiss Federal Institute of Technology 
(Switzerland)

International steering committee
    o  Tetsuya Higuchi, Electrotechnical Laboratory (Japan)
    o  Hiroaki Kitano, Sony Computer Science Laboratory (Japan)
    o  Daniel Mange, Swiss Federal Institute of Technology (Switzerland)
    o  Moshe Sipper, Swiss Federal Institute of Technology (Switzerland)
    o  Andres Perez-Uribe, Swiss Federal Institute of Technology (Switzerland)


Conference Secretariat: Andres Perez-Uribe, Swiss Federal Institute of
     Technology (CH)


Important dates

    o March 1998:  Submission deadline.
    o May 1998:    Notification of acceptance.
    o June 1998:   Camera-ready due.
    o September 24-26 1998:     Conference dates.


Program Committee 

o Igor Aleksander (UK)
o David Andre (USA)
o William W. Armstrong (Canada)
o Forrest H. Bennett III (USA)
o Joan Cabestany (Spain)
o Russell J. Deaton (USA)
o Dario Floreano (Switzerland)
o David B. Fogel (USA)
o Hugo de Garis (Japan)
o Max H. Garzon (USA)
o Wulfram Gerstner (Switzerland)
o Reiner W. Hartenstein (Germany)
o Inman Harvey (UK) 
o Hitoshi Hemmi (Japan)  
o John R. Koza (USA)
o Pier L. Luisi (Switzerland)
o Bernard Manderick (Belgium) 
o Pierre Marchal (Switzerland)
o Juan J. Merelo (Spain)
o Francesco Mondada (Switzerland)
o J. Manuel Moreno (Spain)
o Pascal Nussbaum (Switzerland)
o Christian Piguet (Switzerland) 
o James Reggia (USA)
o Eytan Ruppin (Israel)
o Eduardo Sanchez (Switzerland)
o Andre Stauffer (Switzerland) 
o Luc Steels (Belgium)
o Adrian Thompson (UK) 
o Marco Tomassini (Switzerland)
o Goran Wendin (Sweden)
o Lewis Wolpert (UK)
o Xin Yao (Australia) 

Web page

                  +-------------------------------+
                  | http://lslwww.epfl.ch/ices98/ |
                  +-------------------------------+




------------------------------

Subject: Book Announcement: Evolution of Parallel Cellular Machines
From:    Moshe Sipper <moshe.sipper@di.epfl.ch>
Date:    Thu, 10 Apr 1997 08:55:32 +0200


The following book, recently published, may be of interest to subscribers of 
this list:

"Evolution of Parallel Cellular Machines: The Cellular Programming Approach",
Moshe Sipper, Springer-Verlag, 1997.

Information is available at:
              http://lslwww.epfl.ch/~moshes/pcm.html

Back-cover text:

Nature abounds in systems involving the actions of simple,
locally-interacting components, that give rise to coordinated global
behavior.  These collective systems have evolved by means of natural
selection to exhibit striking problem-solving capacities, while
functioning within a complex, dynamic environment.  Employing simple
yet versatile parallel cellular models, coupled with evolutionary
computation techniques, this volume explores the issue of constructing
man-made systems that exhibit characteristics such as those manifest
by their natural counterparts.

Parallel cellular machines hold potential both scientifically, as
vehicles for studying phenomena of interest in areas such as complex
adaptive systems and artificial life, as well as practically, enabling
the construction of novel systems, endowed with evolutionary,
reproductive, regenerative, and learning capabilities.  This
self-contained volume examines the behavior of such machines, the
complex computation they exhibit, and the application of artificial
evolution to attain such systems.




------------------------------

Subject: Scientific Conference Calendar
From:    Jeanny Ryffel <icsc@compusmart.ab.ca>
Organization: ICSC International Computer Science Conventions
Date:    Mon, 24 Mar 1997 16:39:43 -0700

Dear Madam/Sir,

Your address was passed on to us by one of our Academic Advisory Board 
members. We organize scientific conferences worldwide with the 
sponsoring and support of universities and professional groups such as 
IEEE, IFAC, etc. Some major events are coming up and we would like to 
make researchers and scientist aware via calendars, as we are unable to 
reach each individual by mail.

You will find full details on our events on our web site:
http://www.compusmart.ab.ca/icsc

The conferences mentioned above are the following:

IIA/SOCO'97 (Intelligent Industrial Automation/Soft Computing
September 17-19, 1997, Nimes, France

World Manufacturing Congress / WMC'97:
Manufacturing Systems, ISMS'97
Manufacturing Technology, ISMT'97
Manufacturing Management, ISMM'97
November 18-21, 1997, Auckland, New Zealand

Engineering of Intelligent Systems, EIS'98
February 11-13, 1998, Tenerife, Spain

Neural Computation / NC'98
September 23-25, 1998, Vienna Austria

We would appreciate your confirm of receipt of this message. Thank you
for your kind support and consideration.

Best regards,

Jeanny Ryffel
ICSC International Computer Science Conventions
P.O. Box 279
Millet, AB T0C 1Z0 / Canada

Email: icsc@compusmart.ab.ca
Web-Site: http://www.compusmart.ab.ca/icsc
Fax: +1-403-387-4329
Phone: +1-403-387-3546


------------------------------

Subject: TANC-97 Call for Participation
From:    Dit-Yan Yeung <dyyeung@cs.ust.hk>
Date:    Tue, 25 Mar 1997 16:16:38 +0800

                         Call for Participation

                                TANC-97

                  Hong Kong International Workshop on
               Theoretical Aspects of Neural Computation:
                    A Multidisciplinary Perspective

                           May 26-28, 1997
             Hong Kong University of Science and Technology



Over the past decade or so, neural computation has emerged as a research
area with active involvement by researchers from a number of different
disciplines, including computer science, engineering, mathematics,
neurobiology, physics, and statistics.  Interdisciplinary collaboration
and exchange of ideas has often led us to address research issues in this
area from different perspectives.  Consequently, some interesting new
paradigms and results have become available to the field and have
contributed significantly to the strengthening of its theoretical
foundations.

This workshop, to be held in the Hong Kong University of Science and
Technology located at the scenic Clear Water Bay, is intended to bring
together researchers from different disciplines to review the current
status of neural computation research.  In particular, theoretical
studies of the following themes will be given special emphasis:
NEUROSCIENCE, COMPUTATIONAL AND MATHEMATICAL, and STATISTICAL PHYSICS.
While the focus of this workshop is on theoretical aspects, the impact of
recent theoretical advances to applications and the novel application of
theoretical results to real-world problems will also be covered.  Moreover,
as an important objective of the workshop, future research directions and
topics that have strong interdisciplinary nature will be explored.  The
workshop papers will be published as a book by Springer-Verlag after the
workshop.


Technical Program
- -----------------
The workshop will feature several keynote presentations and invited papers
by leading researchers:

KEYNOTE SPEAKERS: Shun-ichi Amari (RIKEN, Japan), Haim Sompolinsky (Hebrew
        University, Israel).
INVITED SPEAKERS: Chris van den Broeck (LUC, Belgium), Peter Dayan (MIT,
        USA), Aike Guo (Chinese Academy of Sciences, China), John Hertz
        (NORDITA, Denmark), Jenq-Neng Hwang (University of Washington,
        USA), Jong-Hoon Oh (POSTECH, Korea), Manfred Opper (Wuerzburg,
        Germany), Juergen Schmidhuber (IDSIA, Switzerland), Sebastian
        Seung (Bell Labs, USA), Sara Solla (AT&T Research, USA), Lei Xu
        (Chinese University of Hong Kong).

In addition to keynote and invited papers, there will also be a number of
submitted papers.  All oral and poster presentations will be scheduled in
a single track with no parallel sessions to facilitate interdisciplinary
interaction.  To facilitate further discussions with other workshop
participants, authors of oral presentations will be highly encouraged to
put up posters in the poster session and be present there.  A detailed
technical program is attached separately.


Student Posters
- ---------------
To encourage research postgraduate students to participate in this
workshop and to give informal presentations of their ongoing research,
some bulletin boards will be reserved for student posters during the
poster session.  To be considered for a poster presentation, a summary of
no more than 500 words should be submitted to the workshop secretariat by
April 15.  Electronic submissions are acceptable.  Notification of
acceptance will be sent by electronic mail by the end of April.
Registration immediately after receiving the notification letter will
receive the same discount rate as other student participants who register
on or before April 15.


Social Functions
- ----------------
A reception for all workshop participants will be held in the morning of
day 1 (May 26).  The workshop banquet will be held in the evening of day 2
(May 27).  In addition, a post-workshop excursion will be arranged on
day 4 (May 29).  Tickets for the excursion will be sold separately.


Registration
- ------------
Please complete the registration form attached and mail it back with
payment to:

    TANC-97 Secretariat
    Department of Physics
    Hong Kong University of Science and Technology
    Clear Water Bay, Kowloon, Hong Kong
    Fax: +852-2358-1652; E-mail: tanc97@usthk.ust.hk
    WWW: http://www.cs.ust.hk/conferences/TANC97

Registration before April 15 can enjoy the discount rates.


Useful Information for Overseas Participants
- --------------------------------------------
[Transportation]
The most convenient way to come to the university campus from the Hong
Kong International Airport is by taxi.  You may take a taxi outside the
arrival hall of the airport.  The journey takes about half an hour and
costs about HK$100.  Ask the taxi driver to stop at the main extrance,
and request the guard to direct the taxi to the Visitor Centre.

[Accommodation]
The Visitor Centre of the university is equipped with standard hotel
facilities.

[Climate]
In late May, the temperature is typically around 27C (81F) and the
relative humidity is about 80%, with occasional mist and rain showers.
Have sweaters and showerproof jackets ready.

[Visa]
In view of the political transition in 1997, you are advised to check
with your local British embassy about your visa.  Normally, visitors
from most countries can enter Hong Kong without a visa for periods
varying from seven days to one year, depending on their nationalities.

[Exchange rate]
One US dollar is roughly equal to 7.8 Hong Kong dollars.

[Hong Kong 1997]
This is a great opportunity to visit Hong Kong as the workshop will be
held shortly before Hong Kong becomes a Special Administrative Region
of China starting from July 1, 1997.

[More information]
For more information about Hong Kong, you may visit the Web site of the
Hong Kong Tourist Association (http://www.hkta.org/).  Also, remember
to pick up a tourist package before you exit the passport control in
the Hong Kong International Airport.


Organizing Committee
- --------------------
Kwok-Ping Chan (University of Hong Kong), Lai-Wan Chan (Chinese
University of Hong Kong), Irwin King (Chinese University of Hong Kong),
Zhaoping Li (Hong Kong University of Science and Technology), Franklin
Shin (Hong Kong Polytechnic University), Michael K.Y. Wong (Hong Kong
University of Science and Technology) [Chairman], and Dit-Yan Yeung
(Hong Kong University of Science and Technology).


!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!!


                             TANC-97 WORKSHOP

                            REGISTRATION  FORM

********************************************************************************

Section A (for all participants)
++++++++++++++++++++++++++++++++

Name: _________________________________________________________  Title: _____
      (surname/family name/last name)   (given name/first name)

Professional affiliation: ___________________________________________________

Mailing address: ____________________________________________________________

                 ____________________________________________________________

E-mail address: _____________________   Fax number: _________________________

Registration fee: ___________________

                  Before 15 April 1997          After 15 April 1997
                  ++++++++++++++++++++          +++++++++++++++++++
     Regular            HK$1,200                      HK$1,400
     Student            HK$  500                      HK$  600

     (Regular registration includes banquet and post-workshop proceedings.)

********************************************************************************

Section B (for paper presenters only)
+++++++++++++++++++++++++++++++++++++

If you have special equipment needs other than an overhead projector for
your presentation, please provide details below:




********************************************************************************

Section C (for overseas participants only)
++++++++++++++++++++++++++++++++++++++++++

Number of accompanying persons (besides you): _________

Room reservation in the Visitor Centre of HKUST:

  __ Single       (HK$410 per night for 1 person)
  __ Double       (HK$550 per night for 2 persons)
  __ Apartment    (HK$760 per night for 4 persons)

  Check-in date: _________             Check-out date: ________ 

  Number of nights: _____ X Room charge per night: _____ = Total charge: _____

********************************************************************************

Please mail the completed registration form with payment to:

        TANC-97 Secretariat 
        Department of Physics 
        Hong Kong University of Science and Technology 
        Clear Water Bay, Kowloon 
        Hong Kong

Payment must be made by money order or bank draft in Hong Kong currency
drawable from banks in Hong Kong.  Money orders and bank drafts must be
made payable to "Hong Kong University of Science and Technology".
Receipts will be available for collection at the workshop.


------------------------------

Subject: Modern Regression and Classification - New York City
From:    tibs@utstat.toronto.edu
Date:    Mon, 31 Mar 1997 20:48:00 -0500




        ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
        +++                                                        +++
        +++        Modern Regression and Classification:           +++
        +++                                                        +++
        +++            Statistical prediction methods for finance  +++
        +++                      and marketing                     +++
        +++                                                        +++
        +++                                                        +++
        +++         New York City: June 23-24, 1997                +++
        +++                                                        +++
        +++            Trevor Hastie, Stanford University          +++
        +++          Rob Tibshirani, University of Toronto         +++
        +++                                                        +++
        ++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++


This two-day course will give a detailed overview of statistical models
for regression and classification. Known as machine-learning in
computer science and artificial intelligence, and pattern recognition
in engineering, this is a hot field with powerful applications in
finance, science and industry.

This course covers a wide range of models from linear regression
through various classes of more flexible models to fully nonparametric
regression models, both for the regression problem and for
classification.

This special version of our popular MRC course is tailored to financial
and marketing professionals.

Although a firm theoretical motivation will be presented, the emphasis
will be on practical applications and implementations, especially in
the finance and marketing areas. The course will include many examples
and case studies, and participants should leave the course well-armed
to tackle real problems with realistic tools. The instructors are at
the forefront in research in this area.

After a brief overview of linear regression tools, methods for
one-dimensional and multi-dimensional smoothing are presented, as well
as techniques that assume a specific structure for the regression
function. These include splines, wavelets, additive models, MARS
(multivariate adaptive regression splines), projection pursuit
regression, neural networks and regression trees. All of these can be
adapted to the time-series framework for predicting future trends from
the past.

The same hierarchy of techniques is available for classification
problems. Classical tools such as linear discriminant analysis and
logistic regression can be enriched to account for nonlinearities and
interactions. Generalized additive models and flexible discriminant
analysis, neural networks and radial basis functions, classification
trees and kernel estimates are all such generalizations. Other
specialized techniques for classification including nearest- neighbor
rules and learning vector quantization will also be covered.

Apart from describing these techniques and their applications to a wide
range of problems, the course will also cover model selection
techniques, such as cross-validation and the bootstrap, and diagnostic
techniques for model assessment.

Software for these techniques will be illustrated, and a comprehensive
set of course notes will be provided to each attendee.

Additional information is available at the Website:

http://stat.stanford.edu/~trevor/mrc.finance.html

************************************************************
Some quotes from past attendees: 

     "... the best presentation by professional statisticians I have
       ever had the pleasure of attending"
     "Superior to most courses in all aspects" 
     "I really liked how you emphasized concepts rather than
        mathematical expressions" 
     "Your 2-day course has saved me months of research" 
*************************************************************



                            COURSE OUTLINE

                              DAY ONE:

Overview of regression methods: Linear regression models and least
squares. Ridge regression and the ``lasso''. Flexible linear models and
basis function methods. linear and nonlinear smoothers; kernels,
splines, and wavelets. Bias/variance tradeoff- cross-validation and
bootstrap. Smoothing parameters and effective number of parameters.
Non-linear and adaptive time series methods. Surface smoothers.


                               ++++++++

Structured Nonparametric Regression: Problems with high dimensional
smoothing. Structured high-dimensional regression: additive models.
project pursuit regression. CART, MARS. radial basis functions. neural
networks. Applications to time series forecasting.

                               DAY TWO:

Generalized additive models. Classification: Statistical decision
theory and classification rules. Linear procedures: Discriminant
Analysis. Logistics regression. Quadratic discriminant analysis,
parametric models. Nearest neighbor classification, K-means and LVQ.
Adaptive nearest neighbor methods.

                               ++++++++
The Discrete choice model. Nonparametric classification: Classification
trees: CART.  Flexible/penalized discriminant analysis. Multiple
logistic regression models and neural networks.  Kernel methods.





                           THE INSTRUCTORS

Professor Trevor Hastie of the Statistics and Biostatistics
Departments at Stanford University was formerly a member of the
Statistics and Data Analysis Research group AT & T Bell
Laboratories. He co-authored with Tibshirani the monograph Generalized
Additive Models (1990) published by Chapman and Hall, and has many
research articles in the area of nonparametric regression and
classification. He also co-edited the Wadsworth book Statistical
Models in S (1991) with John Chambers.

Professor Robert Tibshirani of the Statistics and Biostatistics
departments at University of Toronto is the most recent recipient of
the COPSS award - an award given jointly by all the leading
statistical societies to the most outstanding statistician under the
age of 40.  He also has many research articles on nonparametric
regression and classification. With Bradley Efron he co-authored the
best-selling text An Introduction to the Bootstrap in 1993, and has
been an active researcher on bootstrap technology for the past 11
years. 


Both Prof. Hastie and Prof. Tibshirani are actively involved in
research in modern regression and classification and are well-known
not only in the statistics community but in the machine-learning and
neural network fields as well. The have given many short courses
together on classification and regression procedures to a wide variety
of academic, government and industrial audiences. These include the
American Statistical Association and Interface meetings, NATO ASI
Neural Networks and Statistics workshop, AI and Statistics, and the
Canadian Statistical Society meetings. 



June 23-24, 1997
New York Marriott Financial Center 
85 West Street, New York, N.Y. 10006, 
212-266-6143 

To make room reservations, call the hotel directly. Some rooms have
been blocked off at a special rate for this function.


 

PRICE: $1200 per attendee.   Cancellation policy: 
if notification received by May 19, full refund will be given.
May 20 to June 9- a 20% administration fee will be charged. After June
9- at the discretion of the instructors.  A substitute delegate is
always welcome at no extra charge.  Attendance is limited to the first
60 applicants, so sign up soon!  These courses fill up quickly.



TO REGISTER: Detach and fill in the registration form below.
Registration by May 1 recommended to ensure a spot.


            Modern Regression and Classification
            Statistical prediction methods for finance 
                  and marketing                  

            Monday, June 23 and Tuesday, June 24, 1997.
                 New York Marriott Financial Center 


         Please complete this form (type or print)


Name   ___________________________________________________
       Last                 First                   Middle

Firm or Institution  ______________________________________

Standard Registration ____        

Mailing Address (for receipt)     _________________________

__________________________________________________________

__________________________________________________________

__________________________________________________________
Country                    Phone                      FAX

__________________________________________________________
email address 


(Lunch Menu  -  tick as appropriate):

 
___ Vegetarian                           ___ Non-Vegetarian



Fee payment must be made by MONEY ORDER, PERSONAL CHECK, VISA or
MASTERCARD.  All amounts must in US dollar figures. Make fee payable
to Prof. Trevor Hastie. Mail it, together with this completed
Registration Form to:

Prof. T. Hastie
538 Campus Drive
Stanford CA 94305
U.S.A

ALL CREDIT CARD REGISTRATIONS MUST INCLUDE BOTH CARD NUMBER AND
EXPIRATION DATE.
DEADLINE: Registration by  May 1 recommended. DO NOT SEND CASH.

Registration fee includes Course Materials, coffee breaks,
and lunch both days.

If you have further questions, email to trevor@stat.stanford.edu



++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++
Rob Tibshirani, Dept of Preventive Med & Biostats, and Dept of Statistics
Univ of Toronto, Toronto, Canada M5S 1A8.
Phone: 416-978-4642 (PMB), 416-978-0673 (stats). FAX: 416 978-8299
computer fax  416-978-1525 (please call or email me to inform)
tibs@utstat.toronto.edu. ftp: //utstat.toronto.edu/pub/tibs
http://www.utstat.toronto.edu/~tibs
+++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++


------------------------------

End of Neuron Digest [Volume 97 Issue 18]
*****************************************