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Advances in Artificial Intelligence应用人工智能进展

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Advances in Artificial Intelligence应用人工智能进展

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定 价:¥900.00

作 者:EleniStroulia, StanMatwin 著

出 版 社:湖南文艺出版社

出版时间:2002-12-1

I S B N:3540421440

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内容简介

The LNAI series reports state-of-the-art results in artificial intelligence re-search, development, and education, at a high level and in both printed and electronic form. Enjoying tight cooperation with the R&D community, with numerous individuals, as well as with prestigious organizations and societies,LNAI has grown into the most comprehensive artificial intelligence research forum available.
The scope of LNAI spans the whole range of artificial intelligence and intelli-gent information processing including interdisciplinary topics in a variety of application fields. The type of material published traditionally includes
  proceedings (published in time for the respective conference);
 post-proceedings (consisting of thoroughly revised final full papers);
  research monographs (which may be based on Phi) work).

作者简介

目录

A Case Study for Learning from Imbalanced Data Sets
A Holonic Multi-agent Infrastructure for Electronic Procurement
A Low-Scan Incremental Association Rule Maintenance Method Based on the Apriori Property
A Statistical Corpus-Based Term Extractor
Body-Based Reasoning Using a Feeling-Based Lexicon, Mental Imagery,and an Object-Oriented Metaphor Hierarchy
Combinatorial Auctions, Knapsack Problems, and Hill-Climbing Search
Concept-Learning in the Presence of Between-Class and Within-Class Imbalances
Constraint Programming Lessons Learned from Crossword Puzzles
Constraint-Based Vehicle Assembly Line Sequencing
How AI Can Help SE; or: Randomized Search Not Considered Harmful
Imitation and Reinforcement Learning in Agents with Heterogeneous Actions
Knowledge and Planning in an Action-Based Multi-agent Framework:A Case Study
Learning about Constraints by Reflection
Learning Bayesian Belief Network Classifiers: Algorithms and System
Local Score Computation in Learning Belief Networks
Personalized Contexts in Help Systems
QA-LaSIE: A Natural Language Question Answering System
Search Techniques for Non-linear Constraint Satisfaction Problems with Inequalities
Searching for Macro Operators with Automatically Generated Heuristics
Solving Multiple-Instance and Multiple-Part Learning Problems with Decision Trees and Rule Sets. Application to the Mutagenesis Problem
Stacking for Misclassification Cost Performance
Stratified Partial-Order Logic Programming
The Importance of Being Discrete: Learning Classes of Actions and Outcomes through Interaction
……
Posters
Graduate Symposium Contributions
Author Index

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