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

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Balcázar, José L. (Editor ), Bonchi, Francesco (Editor ), Gionis, Aristides (Editor ), Sebag, Michèle (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2010.
Edición:1st ed. 2010.
Colección:Lecture Notes in Artificial Intelligence, 6322
Temas:
Artificial intelligence.
Data structures (Computer science).
Information theory.
Application software.
Information storage and retrieval systems.
Database management.
Data mining.
Artificial Intelligence.
Data Structures and Information Theory.
Computer and Information Systems Applications.
Information Storage and Retrieval.
Database Management.
Data Mining and Knowledge Discovery.
Acceso en línea:Texto Completo
Tabla de Contenidos:
  • Regular Papers
  • Bayesian Knowledge Corroboration with Logical Rules and User Feedback
  • Learning an Affine Transformation for Non-linear Dimensionality Reduction
  • NDPMine: Efficiently Mining Discriminative Numerical Features for Pattern-Based Classification
  • Hidden Conditional Ordinal Random Fields for Sequence Classification
  • A Unifying View of Multiple Kernel Learning
  • Evolutionary Dynamics of Regret Minimization
  • Recognition of Instrument Timbres in Real Polytimbral Audio Recordings
  • Finding Critical Nodes for Inhibiting Diffusion of Complex Contagions in Social Networks
  • Semi-supervised Abstraction-Augmented String Kernel for Multi-level Bio-Relation Extraction
  • Online Knowledge-Based Support Vector Machines
  • Learning with Randomized Majority Votes
  • Exploration in Relational Worlds
  • Efficient Confident Search in Large Review Corpora
  • Learning to Tag from Open Vocabulary Labels
  • A Robustness Measure of Association Rules
  • Automatic Model Adaptation for Complex Structured Domains
  • Collective Traffic Forecasting
  • On Detecting Clustered Anomalies Using SCiForest
  • Constrained Parameter Estimation for Semi-supervised Learning: The Case of the Nearest Mean Classifier
  • Online Learning in Adversarial Lipschitz Environments
  • Summarising Data by Clustering Items
  • Classification and Novel Class Detection of Data Streams in a Dynamic Feature Space
  • Latent Structure Pattern Mining
  • First-Order Bayes-Ball
  • Learning from Demonstration Using MDP Induced Metrics
  • Demand-Driven Tag Recommendation
  • Solving Structured Sparsity Regularization with Proximal Methods
  • Exploiting Causal Independence in Markov Logic Networks: Combining Undirected and Directed Models
  • Improved MinMax Cut Graph Clustering with Nonnegative Relaxation
  • Integrating Constraint Programming and Itemset Mining
  • Topic Modeling for Personalized Recommendation of Volatile Items
  • Conditional Ranking on Relational Data.

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