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...
| Other Authors: | , , , |
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| Format: | eBook |
| Language: | English |
| Published: |
Berlin, Heidelberg
Springer Berlin Heidelberg
2009, 2009
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| Edition: | 1st ed. 2009 |
| Series: | Lecture Notes in Artificial Intelligence
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| Subjects: | |
| Online Access: | |
| Collection: | Springer eBooks 2005- - Collection details see MPG.ReNa |
Table of Contents:
- 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
- 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
- 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
- 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
- A Community-Based Platform for Machine Learning Experimentation
- TeleComVis: Exploring Temporal Communities in Telecom Networks