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Started by Hiroshi Motoda
Sat, 12 Sep 1992 02:11
Call for Participation of JKAW92
Author: Hiroshi Motoda
Date: Sat, 12 Sep 1992 02:11
Date: Sat, 12 Sep 1992 02:11
246 lines
9100 bytes
9100 bytes
The 2nd Japanese Knowledge Acquisition for Knowledge-Based
Systems Workshop $B#J#K#A#W#9#2(J $B;22C0FFb(J
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$B!!!!(JCo-Chairmen: Riichiro Mizoguchi, Hiroshi Motoda,
$B!!!!!!!!!!!!!!!!(JBrian Gaines, John Boose, and Ross Quinlan
$BBh#22sCN<1%Y!<%9%7%9%F%`$N$?$a$NCN<13MF@9q:]%o!<%/%7%g%C%W!J(JSecond
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(Phone)06-877-5111(ext. 3565)$B!?(J06-876-2905$B!J8&5f<<D>DL!K(J
(Fax)06-877-4977
(Email)miz@ei.sanken.osaka-u.ac.jp
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(Phone)0492-96-6111(ext. 225)
(Fax)0492-96-6006
(Email)motoda@harl.hitachi.co.jp
-------------------------------------
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November 9th
10:00-10:15 Opening session
10:15-11:30 Integrating KA models for group decision support by John
Boose
11:30-13:00 Lunch
13:00-14:15 KADS2: Model-driven knowledge acquisition
methodology(tentative) by Bob Wielinga
14:15-15:30 End-user configuration of applications by Luc Steels
15:30-16:00 Coffee break
16:00-17:15 An analysis of the role of operational modeling
languages in the development of knowledge-based
systems by Marc Linster
17:30-19:00 Banquet
November 10th
9:00-10:15 An interlingua for knowledge interchange: General
requirements and a proposed language specification
by Tom Gruber
10:15-11:30 Common ontologies as a mechanism for software reuse
by Tom Gruber
11:30-13:00 Lunch
13:00-14:15 Knowledge acquisition from protein data by learning
algorithms by Setsuo Arikawa
14:15-15:30 Learning control rules from examples by Claude Sammut
15:30-16:00 Coffee break
16:00-17:15 Integration of machine learning and knowledge acquisition
by Sholom Weissb
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Nov. 12
8:00 Bus to ARL from Hotel
9:30- 9:50 Opening
Induction(1)
9:50-10:25 Ripple-Down-Rules as a Mediating Representation in
Interactive Induction by Jason Catlett
10:25-11:00 Learning From Noisy Data with Linear Pjrogramming
by Takefumi Yamazaki, Shigeo Kaneda and Hiroshi
Tsumura
11:00-11:15 Coffee break
Task Ontology and Modeling
11:15-11:50 Task Ontology And Its Use in a Task Analysis Interview
System by Riichiro Mizoguchi, Yuri Tijerino and
Mitsuru Ikeda
11:50-12:25 Modeling Job Assignment Problems Based on Task Ontology
by Toshiyuki Hama, Masahiro Hori and Yuichi Nakamura
12:25- 1:00 Methodology for Configuring Scheduling Engines with
Task-Specific Components by Masahiro Hori, Yuichi
Nakamura and Toshiyuki Hama
1:00- 2:15 Lunch
Knowledge Reuse
2:15- 2:50 Knowledge Cassette for Customizing Knowledge
Acquisition Tools by Dai Araki, Shoichi Kojima and
Takeshi Kohno
2:50- 3:25 Identifying Reusable Problem-Solving Knowledge as
Task-Specific Components by Yuichi Nakamura, Masahiro
Hori and Toshiyuki Hama
3:25- 3:40 Coffee break
Abstraction
3:40- 4:15 Acquiring (Ir)relevance Knowledge for Problem Solving
by Alon Y. Levy, Hiroshi Motoda and Yumi Iwasaki
4:15- 4:50 Automatic Knowledge Reformation by Ken'ichi Yoshida and
Hiroshi Motoda
4:50- 6:20 Demonstrations
5:20- Bus to ARL (for accompanying persons)
6:30- 9:00 Banquet at ARL's guest house
9:00- Bus to Hotel
Nov. 13
8:00 Bus to ARL from Hotel
Knowledge Base Refinement and and Validation
9:15- 9:50 An Integrated Knowledge Acquisition Tool for
Classification Problems by Yoshiyuki Koseki, Midori
Tanaka and Yoichiro Nakakuki
9:50-10:25 KBRLAB: An Environment for the Development and
Validation of Refinement Systems by Nitin Indurkhya,
Sholom M. Weiss and Peter Politakis
10:25-11:00 A Knowledge Acquisition System Using Version Space
by Kenichi Hagiwara, Takeshi Terasaki and Teruaki
Matsui
11:00-11:15 Coffee break
Misc.(CBR, Causality and Discovery)
11:15-11:50 What a CBR System Learns: Performance Evaluation
of a Case-Based Information by TERANO, Takao and
NABETA, Shigeko
11:50-12:25 Modelling with Context-Dependent Causality
by Maria Lee, Paul Compton and Bob Jansen
12:25- 1:00 Knowledge Discovery and Evolution in Databases:
A Unified Approach by Jong P. Yoon
1:00- 2:15 Lunch
Induction(2)
2:15- 2:50 Constituting Neural Networks by Decision Tree Induction:
An experimental approach of Neuro-KAISER by Katsuhiko
Tsujino and Shogo Nishida
2:50- 3:25 CNN: Integrating Knowledge Elicitation and Machine Learning
by Nigel Major and Nigel Shadbolt
3:25- 3:40 Coffee break
Knowledge Acquisition Managament
3:40- 4:15 MAFKAP: A Management Framework for the Knowledge
Acquisition Process by YUE, Nora Y L and COX, Benita
4:15- 4:50 On Cognitive Invariants Between Different Levels of Scale
by Alain T Rappaport
4:50- 6:00 Demonstration
6:00- 6:10 Concluding remark
6:30- Bus to Hotel
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