機器學習

內容概要

This book constitutes the refereed proceedings of the 17th European Conference on Machine Learning, ECML 2006, held in Berlin, Germany in September 2006, jointly with PKDD 2006.　　The 46 revised full papers and 36 revised short papers presented together with abstracts of 5 invited talks were carefully reviewed and selected from 564 papers submitted to both, ECML and PKDD. The papers present a wealth of new results in the area and address all current issues in machine learning.

書籍目錄

Invited Talks  On Temporal Evolution in Data Streams  The hlture of CiteSeer: CiteSeerx  Learning to Have Fun  Winning the DARPA Grand Challenge  Challenges of Urban SensingLong Papers  Learning in One-Shot  Strategic Form Games  A Selective Sainpling Strategy for Label Ranking  Combinatorial Markov Random Fields  Learning Stochastic Tree Edit Distance  Pertinent Background Knowledge for Learning Protein Grammars  Improving Bayesian Network Structure Search with Random Variable Aggregation Hierarchies  Sequence Discrimination Using Phase-Type Distributions  Languages as Hyperplanes: Grammatical Inference with String Kernels  Toward Robust Real-World Inference: A New Perspective on Explanation-Based Learning  Fisher Kernels for Relational Data  Evaluating Misclassifications in hnbalanced Data  Improving Control-Knowledge Acquisition for Planning by Active Learning  PAC-Learning of Markov Models with Hidden State  A Discriminative Approach for the Retrieval of Images from Text Queries  TildeCRF: Conditional Random  Fields for Logical Sequences   Unsupervised Multiple-Instance Learning for Functional Profiling of Genomic Data  Bayesian Learning of Markov Network Structure  Approximate Policy Iteration for Closed-Loop Learning of Visual Tasks  Task-Driven Discretization of the Joint Space of Visual Percepts and Continuous Actions……Short PapersAuthor Index

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