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机器学习:ECML2002/会议录Machine learning(机器学习:ECML2002/会议录)

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作者: Tapio Elomaa 著

出 版 社: 湖南文艺出版社

出版时间: 2002-12-1字数:版次: 1页数: 528印刷时间: 2006/12/01开本:印次:纸张: 胶版纸I S B N : 9783540440369包装: 平装内容简介

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 PhD work)

目录

Contributed Papers

Convergent Gradient Ascent in General-Sum Games

Revising Engineering Models: Combining Computational Discovery

Variational Extensions to EM and Multinomial PCA

Learning and Inference for Clause Identification

An Empirical Study of Encoding Schemes and Search Strategies in Discovering Causal Networks

Variance Optimized Bagging

How to Make AdaBoost.M1 Work for Weak Base Classifiers

Sparse Online Greedy Support Vector Regression

Pairwise Classification as an Ensemble Technique

RIONA: A Classifier Combining Rule Induction and k-NN Method with Automated Selection of Optimal Neighbourhood

Using Hard Classifiers to Estimate Conditional Class Probabilities

Evidence that Incremental Delta-Bar-Delta Is an Attribute-Efficient Linear Learner

Scaling Boosting by Margin-Based Inclusion of Features and Relations

Multiclass Alternating Decision Trees

Possibilistic Induction in Decision-Tree Learning

Improved Smoothing for Probabilistic Suffix Trees Seen as Variable Order Markov Chains

Collaborative Learning of Term-Based Concepts for Automatic Query Expansion

Learning to Play a Highly Complex Game from Human Expert Games

Reliable Classifications with Machine Learning Matja2 Kukar and Igor Kononenko

Robustness Analyses of Instance-Based Collaborative Recommendation

iBoost: Boosting Usingan instance-Based Exponential Weighting Scheme

Towards a Simple Clustering Criterion Basedon Minimum Length Encoding

Class Probability Estimation and Cost-Sensitive Classification Decisions

On-Line Support Vector Machine Regression

Q-Cut - Dynamic Discovery of Sub-goals in Reinforcement Learning

A Multistrategy Approach to the Classificationof Phases in Business Cycles

A Robust Boosting Algorithm

Case Exchange Strategies in Multiagent Learning

Inductive Confidence Machines for Regression

Macro-Operators in Multirelational Learning A Search-Space Reduction Technique

……

Invited Papers

Author Index

 
 
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