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Proceedings of the Pacific Knowledge Acquisition Workshop 2004


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Kang, Dr Byeong Ho, Hoffmann, Professor Achim, Yamaguchi, Professor Takahira and Yeap, Professor Wai Kiang (eds.) 2004 , Proceedings of the Pacific Knowledge Acquisition Workshop 2004 , Auckland University of Technology.

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This is a proceeding of PKAW knowledge acqusition workshop

Table of Contents

Active Learning

Finding cue expressions for knowledge extraction from scientific text: 1
early results
Masashi Shimbo, Sayaka Tamamori and Yuji Matsumoto

Mining Diagnostic Taxonomy for Multi-Stage Medical Diagnosis 14
Shusaku Tsumoto

Constructing Compact Dual Ensembles for Efficient Active Learning 29
Huan Liu, Amit Mandvikar and Hiroshi Motoda

Ripple Down Rules: Incremental Knowledge Acquisition

Generalising Incremental Knowledge Acquisition 44
Paul Compton, Tri Minh Cao and Julian Kerr

Knowledge Acquisition Module for Conversational Agents 54
Pauline Mak, Byeong HoKang, Claude Sammut and Waleed Kadous

Personalized Web Document Classification using MCRDR 63
Sungsik Park, Yangsok Kim and ByeongHo Kang

Achieving Rapid Knowledge Acquisition in a High-Volume Call Centre 74
Megan Vazey and Debbie Richards

Acquisition of Articulable Tacit Knowledge 87
Peter Busch and Debbie Richards

Knowledge Acquisition Tools

Incremental Knowledge Acquisition using RDR for Soccer Simulation. 102
Angela Finlayson and Paul Compton

Domain Ontology Construction with Quality Refinement 116
Takeshi Morita, Yoshihiro Shigeta, Naoki Sugiura,
Naoki Fukuta, Noriaki Izumi and Takahira Yamaguchi

Developing an Intelligent Learning Tool 127
for Knowledge Acquisition on Problem-based Discussion
Akcell Chiang, Isaac Pak-Wah Fung and R. H. Kemp

View of Knowledge Acquisition / Evaluate Knowledge Acquisition methods

Towards Acquiring and Refining Class Hierarchy Design of 143
Web Application Integration Software
Naoki Fukuta, Mayumi Ueno, Noriaki Izumi and Takahira Yamaguchi

Consideration on 'Educationality' of Knowledge Acquisition 158
Support Systems
Toshiro Minami

A Comparative Study on Cost and Benefit of Capturing Design 172
Yoshikiyo Kato and Koichi Hori

Knowledge Acquisition and Machine Learning

Using Neural Network to Weight the Partial Rules: 183
Application to Classification of Dopamine Antagonist Molecules
Sukree Sinthupinyo, Cholwich Nattee, Masayuki Numao, Takashi Okada
and Boonserm Kijsirikul

Future Directions in Adapting GAs using Knowledge Acquisition 196
J.P. Bekmann and Achim Hoffmann

Incremental Learning of Control Knowledge for Lung Boundary Extraction 211
Avishkar Misra, Arcot Sowmya and Paul Compton

E-Mail Document Categorization Using BayesTH-MCRDR Algorithm: 226
Empirical Analysis and Comparison with Other Document Classification Methods
Woo-Chul Cho and Debbie Richards

Detecting the Knowledge Frontier: An Error Predicting Knowledge 241
Based System
Richard Peter Dazeley and Byeong Ho Kang

Item Type: Book
Keywords: Knowledge Acquisition Learning
Publisher: Auckland University of Technology
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