Machine learning and knowledge discovery in databases Part 3 / [electronic resource] : European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010 ; proceedings.
José Luis Balcázar ... [et al.] (eds.).
Berlin : Springer, c2010.
xxii, 632 p. : ill.
3642159389, 9783642159381
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A Look Inside
Main Description
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.
Main Description
This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2010, held in Barcelona, Spain, in September 2010. The 120 revised full papers presented in three volumes, together with 12 demos (out of 24 submitted demos), were carefully reviewed and selected from 658 paper submissions. In addition, 7 ML and 7 DM papers were distinguished by the program chairs on the basis of their exceptional scientific quality and high impact on the field. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. A topic widely explored from both ML and DM perspectives was graphs, with motivations ranging from molecular chemistry to social networks.
Table of Contents
Regular Papers
Efficient Planning in Large POMDPs through Policy Graph Based Factorized Approximationsp. 1
Unsupervised Trajectory Samplingp. 17
Fast Extraction of Locally Optimal Patterns Based on Consistent Pattern Function Variationsp. 34
Large Margin Learning of Bayesian Classifiers Based on Gaussian Mixture Modelsp. 50
Learning with Ensembles of Randomized Trees: New Insightsp. 67
Entropy and Margin Maximization for Structured Output Learningp. 83
Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithmsp. 99
Adapting Decision DAGs for Multipartite Rankingp. 115
Fast and Scalable Algorithms for Semi-supervised Link Prediction on Static and Dynamic Graphsp. 131
Modeling Relations and Their Mentions without Labeled Textp. 148
An Efficient and Scalable Algorithm for Local Bayesian Network Structure Discoveryp. 164
Selecting Information Diffusion Models over Social Networks for Behavioral Analysisp. 180
Learning Sparse Gaussian Markov Networks Using a Greedy Coordinate Ascent Approachp. 196
Online Structural Graph Clustering Using Frequent Subgraph Miningp. 213
Large-Scale Support Vector Learning with Structural Kernelsp. 229
Synchronization Based Outlier Detectionp. 245
Laplacian Spectrum Learningp. 261
k-Version-Space Multi-class Classification Based on k-Consistency Testsp. 277
Complexity Bounds for Batch Active Learning in Classificationp. 293
Semi-supervised Projection Clustering with Transferred Centroid Regularizationp. 306
Permutation Testing Improves Bayesian Network Learningp. 322
Example-dependent Basis Vector Selection for Kernel-Based Classifiersp. 338
Surprising Patterns for the Call Duration Distribution of Mobile Phone Usersp. 354
Variational Bayesian Mixture of Robust CCA Modelsp. 370
Adverse Drug Reaction Mining in Pharmacovigilance Data Using Formal Concept Analysisp. 386
Topic Models Conditioned on Relationsp. 402
Shift-Invariant Grouped Multi-task Learning for Gaussian Processesp. 418
Nonparametric Bayesian Clustering Ensemblesp. 435
Directed Graph Learning via High-Order Co-linkage Analysisp. 451
Incorporating Domain Models into Bayesian Optimization for Reinforcement Learningp. 467
Efficient and Numerically Stable Sparse Learningp. 483
Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processesp. 499
Many-to-Many Graph Matching: A Continuous Relaxation Approachp. 515
Competitive Online Generalized Linear Regression under Square Lossp. 531
Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learningp. 547
Fast, Effective Molecular Feature Mining by Local Optimizationp. 563
Demo Papers
AnswerArt - Contextualized Question Answeringp. 579
Real-Time News Recommender Systemp. 583
GET: A Tool for Creative Exploration of Graphsp. 587
NewsGist: A Multilingual Statistical News Summarizerp. 591
QUEST: Query Expansion Using Synonyms over Timep. 595
Flu Detector - Tracking Epidemics on Twitterp. 599
X-SDR: An Extensible Experimentation Suite for Dimensionality Reductionp. 603
SOREX: Subspace Outlier Ranking Exploration Toolkitp. 607
KDTA: Automated Knowledge-Driven Text Annotationp. 611
Detecting Events in a Million New York Times Articlesp. 615
Experience STORIES: A Visual News Search and Summarization Systemp. 619
Exploring Real Mobility Data with M-Atlasp. 624
Author Indexp. 629
Table of Contents provided by Ingram. All Rights Reserved.

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