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Machine Learning: ECML 2004 [electronic resource] : 15th European Conference on Machine Learning, Pisa, Italy, September 20-24, 2004, Proceedings / by Jean-Francois Boulicaut, Floriana Esposito, Fosca Giannotti

[Boulicaut, Jean-François]

Software

Lo trovi qui: University of Chicago

Constraint-based mining and inductive databases : European Workshop on Inductive Databases and Constraint Based Mining, Hinterzarten, Germany, March 11-13, 2004 : revised selected papers / Jean-Francois Boulicaut, Luc De Raedt, Heikki Mannila (eds.).

[European Workshop on Inductive Databases and Constraint Based Mining (2004 : Hinterzarten, Germany)]

Materiale a stampa

Lo trovi qui: University of Chicago

[European Workshop on Inductive Databases and Constraint Based Mining (2004 : Hinterzarten, Germany)]

Materiale a stampa

Lo trovi qui: University of Pennsylvania

Constraint-based mining and inductive databases : European Workshop on Inductive Databases and Constraint Based Mining, Hinterzarten, Germany, March 11-13, 2004 ; revised selected papers / Jean-François Boulicaut, Luc De Raedt, Heikki Mannila (eds.).

[European Workshop on Inductive Databases and Constraint Based Mining (2004 : Hinterzarten, Germany)]

Materiale a stampa

Lo trovi qui: Yale University

Knowledge discovery in inductive databases : 4th international workshop, KDID 2005, Porto, Portugal, October 3, 2005 : revised selected and invited papers / [Francesco Bonchi, Jean-François Boulicaut (eds.)].

[KDID 2005 (2005 : Porto, Portugal)]

Materiale a stampa

Lo trovi qui: Yale University

Local pattern detection : international seminar : Dagstuhl Castle, Germany, April 12-16, 2004 : revised selected papers / Katharina Morik, Jean-Franc̦ois Boulicaut, Arno Siebes (eds.).

[Dagstuhl Seminar on Local Pattern Detection (2004 : Dagstuhl, Wadern, Germany)]

Materiale a stampa

Lo trovi qui: Yale University

Local pattern detection : international seminar, Dagstuhl Castle, Germany, April 12-16, 2004 : revised selected papers / Katharina Morik, Jean Franc̦ois Boulicaut, Arno Siebes (eds.).

[International Seminar on Local Pattern Detection (2004 : Dagstuhl, Wadern, Germany)]

Materiale a stampa

Lo trovi qui: Duke University

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

[European Conference on Machine Learning (15th : 2004 : Pisa, Italy)]

Materiale a stampa

Lo trovi qui: University of Chicago

Knowledge discovery in databases : PKDD 2004 : 8th European Conference on Principles and Practice of Knowledge Discovery in Databases, Pisa, Italy, September 20-24, 2004 : proceedings / Jean-François Boulicaut ... [et al.] (eds.).

[European Conference on Principles and Practice of Knowledge Discovery in Databases (8th : 2004 : Pisa, Italy)]

Materiale a stampa

Lo trovi qui: University of Pennsylvania

Discovery Science. 11th International Conference, DS 2008, Budapest, Hungary, October 13-16, 2008. Proceedings / Jean-François Boulicaut, Michael R. Berthold, Tamás Horváth, editors

[International Conference on Discovery Science (2008 : Budapest, Hungary)]

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Lo trovi qui: University of Chicago

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Formato

Livello bibliografico

Monografie (32)

Data

Ultimi 50 anni (32)

Data di pubblicazione

2005 (11)
2004 (10)
2006 (8)
2008 (2)
2009 (1)

Creatore	[Boulicaut, Jean-François]
Accesso persona	Esposito, Floriana Giannotti, Fosca Pedreschi, Dino
Accesso ente	SpringerLink (Online service)
Soggetto non controllato	Computer Science Algorithm Analysis and Problem Complexity Artificial Intelligence (incl. Robotics) Database Management Mathematical Logic and Formal Languages
ISBN	9783540231059
Formato	Software
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Record Nr.	UCHICAGO-7354478

Creatore	[European Workshop on Inductive Databases and Constraint Based Mining (2004 : Hinterzarten, Germany)]
Estensione	1 online resource (x, 399 pages) : illustrations.
Accesso persona	Boulicaut, Jean-François Raedt, Luc de, 1964- Mannila, Heikki
Genere/Forma	Electronic books Conference papers and proceedings
Soggetto non controllato	Inductive databases Constraint based mining
ISBN	9783540313519 3540313516 3540313311 9783540313311
Classificazione	TP311. 13-532
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Record Nr.	UCHICAGO-11068779

Creatore	[European Workshop on Inductive Databases and Constraint Based Mining (2004 : Hinterzarten, Germany)]
Estensione	x, 399 p. : ill. ; 24 cm.
Disciplina	006.33
Accesso persona	Boulicaut, Jean-François Raedt, Luc de, 1964- Mannila, Heikki
ISBN	3540313311 (pbk.)
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Record Nr.	UPENN-9939929403503681

Creatore	[European Workshop on Inductive Databases and Constraint Based Mining (2004 : Hinterzarten, Germany)]
Estensione	x, 399 p. : ill. ; 24 cm.
Accesso persona	Boulicaut, Jean-François Raedt, Luc de, 1964- Mannila, Heikki
ISBN	3540313311
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Record Nr.	YALE-7187816

Creatore	[KDID 2005 (2005 : Porto, Portugal)]
Estensione	viii, 250 p. : ill. ; 24 cm.
Accesso persona	Bonchi, Francesco Boulicaut, Jean-François
ISBN	3540332928
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
Record Nr.	YALE-7420851

Creatore	[European Conference on Machine Learning (15th : 2004 : Pisa, Italy)]
Estensione	xviii, 580 p. : ill. ; 24 cm.
Accesso persona	Boulicaut, Jean-François
ISBN	3540231056 (pbk.)
Formato	Materiale a stampa
Livello bibliografico	Monografia
Lingua di pubblicazione	eng
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.
Record Nr.	UCHICAGO-5363621