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

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Balcázar, José Luis (Επιμελητής έκδοσης), Bonchi, Francesco (Επιμελητής έκδοσης), Gionis, Aristides (Επιμελητής έκδοσης), Sebag, Michèle (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2010.
Σειρά:Lecture Notes in Computer Science, 6323
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • 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.