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

• 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: Computer science.; Computer communication systems.; Computers.; Database management.; Data mining.; Information storage and retrieval.; Artificial intelligence.; Computer Science.; Computer Communication Networks.; Data Mining and Knowledge Discovery.; Database Management.; Artificial Intelligence (incl. Robotics).; Information Storage and Retrieval.; Information Systems and Communication Service.

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...

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.