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Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2010, Barcelona, Spain, September 20-24, 2010. Proceedings, Part I /
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , , , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2010.
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| Edición: | 1st ed. 2010. |
| Colección: | Lecture Notes in Artificial Intelligence,
6321 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Invited Talks (Abstracts)
- Mining Billion-Node Graphs: Patterns, Generators and Tools
- Structure Is Informative: On Mining Structured Information Networks
- Intelligent Interaction with the Real World
- Mining Experimental Data for Dynamical Invariants - From Cognitive Robotics to Computational Biology
- Hierarchical Learning Machines and Neuroscience of Visual Cortex
- Formal Theory of Fun and Creativity
- Regular Papers
- Porting Decision Tree Algorithms to Multicore Using FastFlow
- On Classifying Drifting Concepts in P2P Networks
- A Unified Approach to Active Dual Supervision for Labeling Features and Examples
- Vector Field Learning via Spectral Filtering
- Weighted Symbols-Based Edit Distance for String-Structured Image Classification
- A Concise Representation of Association Rules Using Minimal Predictive Rules
- Euclidean Distances, Soft and Spectral Clustering on Weighted Graphs
- Adaptive Parallel/Serial Sampling Mechanisms for Particle Filtering in Dynamic Bayesian Networks
- Leveraging Bagging for Evolving Data Streams
- ITCH: Information-Theoretic Cluster Hierarchies
- Coniunge et Impera: Multiple-Graph Mining for Query-Log Analysis
- Process Mining Meets Abstract Interpretation
- Smarter Sampling in Model-Based Bayesian Reinforcement Learning
- Predicting Partial Orders: Ranking with Abstention
- Predictive Distribution Matching SVM for Multi-domain Learning
- Kantorovich Distances between Rankings with Applications to Rank Aggregation
- Characteristic Kernels on Structured Domains Excel in Robotics and Human Action Recognition
- Regret Analysis for Performance Metrics in Multi-Label Classification: The Case of Hamming and Subset Zero-One Loss
- Clustering Vessel Trajectories with Alignment Kernels under Trajectory Compression
- Adaptive Bases for Reinforcement Learning
- Constructing Nonlinear Discriminants from Multiple Data Views
- Learning Algorithms for Link Prediction Based on Chance Constraints
- Sparse Unsupervised Dimensionality Reduction Algorithms
- Asking Generalized Queries to Ambiguous Oracle
- Analysis of Large Multi-modal Social Networks: Patterns and a Generator
- A Cluster-Level Semi-supervision Model for Interactive Clustering
- Software-Defect Localisation by Mining Dataflow-Enabled Call Graphs
- Induction of Concepts in Web Ontologies through Terminological Decision Trees
- Classification with Sums of Separable Functions
- Feature Selection for Reinforcement Learning: Evaluating Implicit State-Reward Dependency via Conditional Mutual Information
- Bagging for Biclustering: Application to Microarray Data
- Hub Gene Selection Methods for the Reconstruction of Transcription Networks
- Expectation Propagation for Bayesian Multi-task Feature Selection
- Graphical Multi-way Models
- Exploration-Exploitation of Eye Movement Enriched Multiple Feature Spaces for Content-Based Image Retrieval
- Graph Regularized Transductive Classification on Heterogeneous Information Networks
- Temporal Maximum Margin Markov Network
- Gaussian Processes for Sample Efficient Reinforcement Learning with RMAX-Like Exploration.