Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010. Proceedings, Part III / edited by José L. Balcázar, Francesco Bonchi, Aristides Gionis, Michèle Sebag.

Format:

Book

Contributor:

Balcázar, José L., editor.

Bonchi, Francesco, editor.

Gionis, Aristides, editor.

Sebag, Michèle, editor.

SpringerLink (Online service)

Series:

Computer Science (Springer-11645)

Lecture notes in computer science. Lecture notes in artificial intelligence ; 6323.

Lecture Notes in Artificial Intelligence ; 6323

Language:

English

Subjects (All):

Artificial intelligence.

Data structures (Computer science).

Application software.

Information storage and retrieval.

Database management.

Data mining.

Artificial Intelligence.

Data Structures and Information Theory.

Information Systems Applications (incl. Internet).

Information Storage and Retrieval.

Database Management.

Data Mining and Knowledge Discovery.

Local Subjects:

Artificial Intelligence.

Data Structures and Information Theory.

Information Systems Applications (incl. Internet).

Information Storage and Retrieval.

Database Management.

Data Mining and Knowledge Discovery.

Physical Description:

1 online resource (XXII, 632 pages) : 183 illustrations.

Edition:

First edition 2010.

Contained In:

Springer eBooks

Place of Publication:

Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.

System Details:

text file PDF

Contents:

Regular Papers

Efficient Planning in Large POMDPs through Policy Graph Based Factorized Approximations

Unsupervised Trajectory Sampling

Fast Extraction of Locally Optimal Patterns Based on Consistent Pattern Function Variations

Large Margin Learning of Bayesian Classifiers Based on Gaussian Mixture Models

Learning with Ensembles of Randomized Trees : New Insights

Entropy and Margin Maximization for Structured Output Learning

Virus Propagation on Time-Varying Networks: Theory and Immunization Algorithms

Adapting Decision DAGs for Multipartite Ranking

Fast and Scalable Algorithms for Semi-supervised Link Prediction on Static and Dynamic Graphs

Modeling Relations and Their Mentions without Labeled Text

An Efficient and Scalable Algorithm for Local Bayesian Network Structure Discovery

Selecting Information Diffusion Models over Social Networks for Behavioral Analysis

Learning Sparse Gaussian Markov Networks Using a Greedy Coordinate Ascent Approach

Online Structural Graph Clustering Using Frequent Subgraph Mining

Large-Scale Support Vector Learning with Structural Kernels

Synchronization Based Outlier Detection

Laplacian Spectrum Learning

k-Version-Space Multi-class Classification Based on k-Consistency Tests

Complexity Bounds for Batch Active Learning in Classification

Semi-supervised Projection Clustering with Transferred Centroid Regularization

Permutation Testing Improves Bayesian Network Learning

Example-dependent Basis Vector Selection for Kernel-Based Classifiers

Surprising Patterns for the Call Duration Distribution of Mobile Phone Users

Variational Bayesian Mixture of Robust CCA Models

Adverse Drug Reaction Mining in Pharmacovigilance Data Using Formal Concept Analysis

Topic Models Conditioned on Relations

Shift-Invariant Grouped Multi-task Learning for Gaussian Processes

Nonparametric Bayesian Clustering Ensembles

Directed Graph Learning via High-Order Co-linkage Analysis

Incorporating Domain Models into Bayesian Optimization for RL

Efficient and Numerically Stable Sparse Learning

Fast Active Exploration for Link-Based Preference Learning Using Gaussian Processes

Many-to-Many Graph Matching: A Continuous Relaxation Approach

Competitive Online Generalized Linear Regression under Square Loss

Cross Validation Framework to Choose amongst Models and Datasets for Transfer Learning

Fast, Effective Molecular Feature Mining by Local Optimization

Demo Papers

AnswerArt - Contextualized Question Answering

Real-Time News Recommender System

CET: A Tool for Creative Exploration of Graphs

NewsGist: A Multilingual Statistical News Summarizer

QUEST: Query Expansion Using Synonyms over Time

Flu Detector - Tracking Epidemics on Twitter

X-SDR: An Extensible Experimentation Suite for Dimensionality Reduction

SOREX: Subspace Outlier Ranking Exploration Toolkit

KDTA: Automated Knowledge-Driven Text Annotation

Detecting Events in a Million New York Times Articles

Experience STORIES: A Visual News Search and Summarization System

Exploring Real Mobility Data with M-Atlas.

Other Format:

Printed edition:

ISBN:

978-3-642-15939-8

9783642159398

Access Restriction:

Restricted for use by site license.