Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2009, Bled, Slovenia, September 7-11, 2009, Proceedings, Part II /

This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2009, held in Bled, Slovenia, in September 2009. The 106 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected fro...

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Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Buntine, Wray (Επιμελητής έκδοσης), Grobelnik, Marko (Επιμελητής έκδοσης), Mladenić, Dunja (Επιμελητής έκδοσης), Shawe-Taylor, John (Επιμελητής έκδοσης)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Berlin, Heidelberg : Springer Berlin Heidelberg, 2009.
Σειρά:Lecture Notes in Computer Science, 5782
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Πίνακας περιεχομένων:
  • Regular Papers
  • Decomposition Algorithms for Training Large-Scale Semiparametric Support Vector Machines
  • A Convex Method for Locating Regions of Interest with Multi-instance Learning
  • Active Learning for Reward Estimation in Inverse Reinforcement Learning
  • Simulated Iterative Classification A New Learning Procedure for Graph Labeling
  • Graph-Based Discrete Differential Geometry for Critical Instance Filtering
  • Integrating Novel Class Detection with Classification for Concept-Drifting Data Streams
  • Neural Networks for State Evaluation in General Game Playing
  • Learning to Disambiguate Search Queries from Short Sessions
  • Dynamic Factor Graphs for Time Series Modeling
  • On Feature Selection, Bias-Variance, and Bagging
  • Efficient Pruning Schemes for Distance-Based Outlier Detection
  • The Sensitivity of Latent Dirichlet Allocation for Information Retrieval
  • Efficient Decoding of Ternary Error-Correcting Output Codes for Multiclass Classification
  • The Model of Most Informative Patterns and Its Application to Knowledge Extraction from Graph Databases
  • On Discriminative Parameter Learning of Bayesian Network Classifiers
  • Mining Spatial Co-location Patterns with Dynamic Neighborhood Constraint
  • Classifier Chains for Multi-label Classification
  • Dependency Tree Kernels for Relation Extraction from Natural Language Text
  • Statistical Relational Learning with Formal Ontologies
  • Boosting Active Learning to Optimality: A Tractable Monte-Carlo, Billiard-Based Algorithm
  • Capacity Control for Partially Ordered Feature Sets
  • Reconstructing Data Perturbed by Random Projections When the Mixing Matrix Is Known
  • Identifying the Original Contribution of a Document via Language Modeling
  • Relaxed Transfer of Different Classes via Spectral Partition
  • Mining Databases to Mine Queries Faster
  • MACs: Multi-Attribute Co-clusters with High Correlation Information
  • Bi-directional Joint Inference for Entity Resolution and Segmentation Using Imperatively-Defined Factor Graphs
  • Latent Dirichlet Allocation for Automatic Document Categorization
  • New Regularized Algorithms for Transductive Learning
  • Enhancing the Performance of Centroid Classifier by ECOC and Model Refinement
  • Optimal Online Learning Procedures for Model-Free Policy Evaluation
  • Kernels for Periodic Time Series Arising in Astronomy
  • K-Subspace Clustering
  • Latent Dirichlet Bayesian Co-Clustering
  • Variational Graph Embedding for Globally and Locally Consistent Feature Extraction
  • Protein Identification from Tandem Mass Spectra with Probabilistic Language Modeling
  • Causality Discovery with Additive Disturbances: An Information-Theoretical Perspective
  • Subspace Regularization: A New Semi-supervised Learning Method
  • Heteroscedastic Probabilistic Linear Discriminant Analysis with Semi-supervised Extension
  • Semi-Supervised Multi-Task Regression
  • A Flexible and Efficient Algorithm for Regularized Fisher Discriminant Analysis
  • Debt Detection in Social Security by Sequence Classification Using Both Positive and Negative Patterns
  • Learning the Difference between Partially Observable Dynamical Systems
  • Universal Learning over Related Distributions and Adaptive Graph Transduction
  • The Feature Importance Ranking Measure
  • Demo Papers
  • OTTHO: On the Tip of My THOught
  • Protecting Sensitive Topics in Text Documents with PROTEXTOR
  • Enhanced Web Page Content Visualization with Firefox
  • ClusTR: Exploring Multivariate Cluster Correlations and Topic Trends
  • Visual OntoBridge: Semi-automatic Semantic Annotation Software
  • Semi-automatic Categorization of Videos on VideoLectures.net
  • Discovering Patterns in Flows: A Privacy Preserving Approach with the ACSM Prototype
  • Using Temporal Language Models for Document Dating
  • Omiotis: A Thesaurus-Based Measure of Text Relatedness
  • Found in Translation
  • A Community-Based Platform for Machine Learning Experimentation
  • TeleComVis: Exploring Temporal Communities in Telecom Networks.