Machine Learning and Knowledge Discovery in Databases: European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010. Proceedings, Part II

by José L. Balcázar (Editor), Francesco Bonchi (Editor), Aristides Gionis (Editor), Michèle Sebag (Editor)

Overview

The LNAI series reports state-of-the-art results in artificial intelligence research, 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 intelligent 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)

More recently, several color-cover sublines have been added featuring, beyond a collection of papers, various added-value components; these sublines include

tutorials (textbook-like monographs or collections of lectures given at advanced courses)

state-of-the-art surveys (offering complete and mediated coverage of a topic)

hot topics (introducing emergent topics to the broader community)

In parallel to the printed book, each new volume is published electronically in LNCS Online.

Product Details

ISBN-13:	9783642158827
Publisher:	Springer Berlin Heidelberg
Publication date:	11/04/2010
Series:	Lecture Notes in Computer Science , #6322
Edition description:	2010
Pages:	518
Product dimensions:	6.10(w) x 9.20(h) x 0.80(d)

Table of Contents

Regular Papers

Bayesian Knowledge Corroboration with Logical Rules and User Feedback Gjergji Kasneci Jurgen Van Gael Ralf Herbrich Thore Graepel 1

Learning an Affine Transformation for Non-linear Dimensionality Reduction Pooyan Khajehpour Tadavani Ali Ghodsi 19

NDPMine: Efficiently Mining Discriminative Numerical Features for Pattern-Based Classification Hyungsul Kim Sangkyum Kim Tim Weninger Jiawei Han Tarek Abdelzaher 35

Hidden Conditional Ordinal Random Fields for Sequence Classification Minyoung Kim Vladimir Pavlovic 51

A Unifying View of Multiple Kernel Learning Marius Kloft Ulrich Rückert Peter L. Bartlett 66

Evolutionary Dynamics of Regret Minimization Tomas Klos Gerrit Jan van Ahee Karl Tuyls 82

Recognition of Instrument Timbres in Real Polytimbral Audio Recordings Elzbieta Kubera Alicja Wieczorkowska Zbigniew Ras Magdalena Skrzypiec 97

Finding Critical Nodes for Inhibiting Diffusion of Complex Contagions in Social Networks Chris J. Kuhlman V.S. Anil Kumar Madhav V. Marathe S.S. Ravi Daniel J. Rosenkrantz 111

Semi-supervised Abstraction-Augmented String Kernel for Multi-Level Bio-Relation Extraction Pavel Kuksa Yanjun Qi Bing Bai Ronan Collobert Jason Weston Vladimir Pavlovic Xia Ning 128

Online Knowledge-Based Support Vector Machines Gautam Kunapuli Kristin P. Bennett Amina Shabbeer Richard Maclin Jude Shavlik 145

Learning with Randomized Majority Votes Alexandre Lacasse François Laviolette Mario Marchand Francis Turgeon-Boutin 162

Exploration in Relational Worlds Tobias Lang Marc Toussaint Kristian Kersting 178

Efficient Confident Search in Large Review Corpora Theodoros Lappas Dimitrios Gunopulos 195

Learning to Tag from Open Vocabulary Labels Edith Law Burr Settles Tom Mitchell 211

A Robustness Measure of Association Rules Yannick Le Bras Patrick Meyer Philippe Lenca Stéphane Lallich 227

Automatic Model Adaptation for Complex Structured Domains Geoffrey Levine Gerald DeJong Li-Lun Wang Rajhans Samdani Shankar Vembu Dan Roth 243

Collective Traffic Forecasting Marco Lippi Matteo Bertini Paolo Frasconi 259

On Detecting Clustered Anomalies Using SCiForest Fei Tony Liu Kai Ming Ting Zhi-Hua Zhou 274

Constrained Parameter Estimation for Semi-supervised Learning: The Case of the Nearest Mean Classifier Marco Loog 291

Online Learning in Adversarial Lipschitz Environments Odalric-Ambrym Maillard Rémi Munos 305

Summarising Data by Clustering Items Michael Mampaey Jilles Vreeken 321

Classification and Novel Class Detection of Data Streams in a Dynamic Feature Space Mohammad M. Masud Qing Chen Jing Gao Latifur Khan Jiawei Han Bhavani Thuraisingham 337

Latent Structure Pattern Mining Andreas Maunz Christoph Helma Tobias Cramer Stefan Kramer 353

First-Order Bayes-Ball Wannes Meert Nima Taghipour Hendrik Blocked 369

Learning from Demonstration Using MDP Induced Metrics Francisco S. Melo Manuel Lopes 385

Demand-Driven Tag Recommendation Gyilherme Vale Menezes Jussara M. Almeida Fabiano Belém Marcos André Gonçalves Anísio Lacerda Edleno Silva de Moura Gisele L. Pappa Adriano Veloso Nivio Ziviani 402

Solving Structured Sparsity Regularization with Proximal Methods Sofia Mosci Lorenzo Rosasco Matteo Santoro Alessandro Verri Silvia Villa 418

Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models Sriraam Natarajan Tushar Khot Daniel Lowd Prasad Tadepalli Kristian Kersting Jude Shavlik 434

Improved MinMax Cut Graph Clustering with Nonnegative Relaxation Feiping Nie Chris Ding Dijun Luo Heng Huang 451

Integrating Constraint Programming and Itemset Mining Siegfried Nijssen Tias Guns 467

Topic Modeling for Personalized Recommendation of Volatile Items Maks Ovsjanikov Ye Chen 483

Conditional Ranking on Relational Data Tapio Pahikkala Willem Waegeman Antti Airola Tapio Salakoski Bernard De Baets 499

Author Index 515