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Machine learning : ECML 2004 : 15th European Conference on Machine Learning, Pisa, Italy, September 20-24, 2004 : proceedings / Jean-François Boulicaut ... [et al.] (eds.).

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Creatore: European Conference on Machine Learning (15th : 2004 : Pisa, Italy)
Titolo: Machine learning : ECML 2004 : 15th European Conference on Machine Learning, Pisa, Italy, September 20-24, 2004 : proceedings / Jean-François Boulicaut ... [et al.] (eds.).
Link to work: Machine learning Visualizza cluster
Pubblicazione: Berlin ; New York : Springer, c2004
Estensione: xviii, 580 p. : ill. ; 24 cm.
Titolo uniforme di collana: Lecture notes in computer science ; 3201.
Lecture notes in computer science. Lecture notes in artificial intelligence.
Classificazione LOC: Q325.5 .E85 2004
Creatori/Collaboratori: Boulicaut, Jean-François
Contenuto supplementare: Includes bibliographical references and index.
Nota di contenuto: Random matrices in data analysis / Dimitris Achhoptas -- Data privacy / Rakesh Agrawal -- Breaking through the syntax barrier : searching with entities and relations / Soumen Chakrabarti -- Real-world learning with Markov logic networks / Pedro Domingos -- Strength in diversity : the advance of data analysis / David J. Hand -- Filtered reinforcement learning / Douglas Aberdeen -- Applying support vector machines to imbalanced datasets / Rehan Akbani, Stephen Kwek and Nathalie Japkowicz -- Sensitivity analysis of the result in binary decision trees / Isabelle Alvarez -- A boosting approach to multiple instance learning / Peter Auer and Ronald Ortner -- An experimental study of different approaches to reinforcement learning in common interest stochastic games / Avi Bab and Ronen Brafman -- Learning from message pairs for automatic email answering / Steffen Bickel and Tobias Scheffer -- Concept formation in expressive description logics / Nicola Fanizzi, Luigi Iannone, Ignazio Palmisano and Giovanni Semeraro -- Multi-level boundary classification for information extraction / Aidan Finn and Nicholas Kushmerick -- An analysis of stopping and filtering criteria for rule learning / Johannes Furnkranz and Peter Flach -- Adaptive online time allocation to search algorithms / Matteo Gagliolo, Viktor Zhumatiy and Jurgen Schmidhuber -- Model approximation for HEXQ hierarchical reinforcement learning / Bernhard Hengst -- Iterative ensemble classification for relational data : a case study of semantic Web services / Andreas Hess and Nicholas Kushmerick -- Analyzing multi-agent reinforcement learning using evolutionary dynamics / Pieter Jan 't Hoen and Karl Tuyls -- Experiments in value function approximation with sparse support vector regression / Tobias Jung and Thomas Uthmann -- Constructive induction for classifying time series / Mohammed Waleed Kadous and Claude Sammut -- Fisher kernels for logical sequences / Kristian Kersting and Thomas Gartner -- The Enron corpus : a new dataset for email classification research / Bryan Klimt and Yiming Yang -- Margin maximizing discriminant analysis / Andras Kocsor, Kornel Kovacs and Csaba Szepesvari -- Multi-objective classification with info-fuzzy networks / Mark Last -- Improving progressive sampling via meta-learning on learning curves / Rui Leite and Pavel Brazdil -- Methods for rule conflict resolution / Tony Lindgren -- An efficient method to estimate labelled sample size for transductive LDA(QDA/MDA) : based on Bayes risk / Han Liu, Xiaobin Yuan, Qianying Tang and Rafal Kustra -- Analyzing sensory data using non-linear preference learning with feature subset selection / Oscar Luaces, Gustavo F. Bayon, Jose R. Quevedo, Jorge Diez, Juan Jose del Coz and Antonio Bahamonde -- Dynamic asset allocation exploiting predictors in reinforcement learning framework / Jangmin O, Jae Won Lee, Jongwoo Lee and Byoung-Tak Zhang -- Justification-based selection of training examples for case base reduction / Santiago Ontanon and Enric Plaza -- Using feature conjunctions across examples for learning pairwise classifiers / Satoshi Oyama and Christopher D. Manning -- Feature selection filters based on the permutation test / Predrag Radivojac, Zoran Obradovic, A. Keith Dunker and Slobodan Vucetic -- Sparse distributed memories for on-line value-based reinforcement learning / Bohdana Ratitch and Doina Precup -- Improving random forests / Marko Robnik-Sikonja -- The principal components analysis of a graph, and its relationships to spectral clustering / Marco Saerens, Francois Fouss, Luh Yen and Pierre Dupont -- Using string kernels to identify famous performers from their playing style / Craig Saunders, David R. Hardoon, John Shawe-Taylor and Gerhard Widmer -- Associative clustering / Janne Sinkkonen, Janne Nikkila, Leo Lahti and Samuel Kaski -- Learning to fly simple and robust / Dorian Suc, Ivan Bratko and Claude Sammut -- Bayesian network methods for traffic flow forecasting with incomplete data / Shiliang Sun, Changshui Zhang, Guoqiang Yu, Naijiang Lu and Fei Xiao -- Matching model versus single model : a study of the requirement to match class distribution using decision trees / Kai Ming Ting -- Inducing polynomial equations for regression / Ljupco Todorovski, Peter Ljubic and Saso Dzeroski -- Efficient hyperkernel learning using second-order cone programming / Ivor W. Tsang and James T. Kwok -- Effective voting of heterogeneous classifiers / Grigorios Tsoumakas, Ioannis Katakis and Ioannis Vlahavas -- Convergence and divergence in standard and averaging reinforcement learning / Marco A. Wiering -- Document representation for one-class SVM / Xiaoyun Wu, Rohini Srihari and Zhaohui Zheng -- Naive Bayesian classifiers for ranking / Harry Zhang and Jiang Su -- Conditional independence trees / Harry Zhang and Jiang Su -- Exploiting unlabeled data in content-based image retrieval / Zhi-Hua Zhou, Ke-Jia Chen and Yuan Jiang -- Population diversity in permutation-based genetic algorithm / Kenny Q. Zhu and Ziwei Liu -- Simultaneous concept learning of fuzzy rules / Jacobus van Zyl and Ian Cloete -- SWITCH : a novel approach to ensemble learning for heterogeneous data / Rong Jin and Huan Liu -- Estimating attributed central orders - an empirical comparison / Toshihiro Kamishima, Hideto Kazawa and Shotaro Akaho -- Batch reinforcement learning with state importance / Lihong Li, Vadim Bulitko and Russell Greiner -- Explicit local models : towards "optimal" optimization algorithms / Jan Poland -- An intelligent model for the Signorini contact problem in belt grinding processes / Xiang Zhang, Bernd Kuhlenkotter and Klaus Kneupner -- Cluster-grouping : from subgroup discovery to clustering / Albrecht Zimmermann and Luc De Raedt.
Collana: Lecture notes in computer science, 0302-9743 ; 3201. Lecture notes in artificial intelligence
Varianti del titolo: ECML 2004
ISBN: 3540231056 (pbk.)
Formato: Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione: Inglese
Record Nr.: 5363621
Lo trovi qui: University of Chicago
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