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Machine Learning and Knowledge Discovery in Databases European Conference, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part I /
This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008, held in Antwerp, Belgium, in September 2008. The 100 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected f...
| Clasificación: | Libro Electrónico |
|---|---|
| Autor Corporativo: | |
| Otros Autores: | , |
| Formato: | Electrónico eBook |
| Idioma: | Inglés |
| Publicado: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2008.
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| Edición: | 1st ed. 2008. |
| Colección: | Lecture Notes in Artificial Intelligence,
5211 |
| Temas: | |
| Acceso en línea: | Texto Completo |
Tabla de Contenidos:
- Invited Talks (Abstracts)
- Industrializing Data Mining, Challenges and Perspectives
- From Microscopy Images to Models of Cellular Processes
- Data Clustering: 50 Years Beyond K-means
- Learning Language from Its Perceptual Context
- The Role of Hierarchies in Exploratory Data Mining
- Machine Learning Journal Abstracts
- Rollout Sampling Approximate Policy Iteration
- New Closed-Form Bounds on the Partition Function
- Large Margin vs. Large Volume in Transductive Learning
- Incremental Exemplar Learning Schemes for Classification on Embedded Devices
- A Collaborative Filtering Framework Based on Both Local User Similarity and Global User Similarity
- A Critical Analysis of Variants of the AUC
- Improving Maximum Margin Matrix Factorization
- Data Mining and Knowledge Discovery Journal Abstracts
- Finding Reliable Subgraphs from Large Probabilistic Graphs
- A Space Efficient Solution to the Frequent String Mining Problem for Many Databases
- The Boolean Column and Column-Row Matrix Decompositions
- SkyGraph: An Algorithm for Important Subgraph Discovery in Relational Graphs
- Mining Conjunctive Sequential Patterns
- Adequate Condensed Representations of Patterns
- Two Heads Better Than One: Pattern Discovery in Time-Evolving Multi-aspect Data
- Regular Papers
- TOPTMH: Topology Predictor for Transmembrane ?-Helices
- Learning to Predict One or More Ranks in Ordinal Regression Tasks
- Cascade RSVM in Peer-to-Peer Networks
- An Algorithm for Transfer Learning in a Heterogeneous Environment
- Minimum-Size Bases of Association Rules
- Combining Classifiers through Triplet-Based Belief Functions
- An Improved Multi-task Learning Approach with Applications in Medical Diagnosis
- Semi-supervised Laplacian Regularization of Kernel Canonical Correlation Analysis
- Sequence Labelling SVMs Trained in One Pass
- Semi-supervised Classification from Discriminative Random Walks
- Learning Bidirectional Similarity for Collaborative Filtering
- Bootstrapping Information Extraction from Semi-structured Web Pages
- Online Multiagent Learning against Memory Bounded Adversaries
- Scalable Feature Selection for Multi-class Problems
- Learning Decision Trees for Unbalanced Data
- Credal Model Averaging: An Extension of Bayesian Model Averaging to Imprecise Probabilities
- A Fast Method for Training Linear SVM in the Primal
- On the Equivalence of the SMO and MDM Algorithms for SVM Training
- Nearest Neighbour Classification with Monotonicity Constraints
- Modeling Transfer Relationships Between Learning Tasks for Improved Inductive Transfer
- Mining Edge-Weighted Call Graphs to Localise Software Bugs
- Hierarchical Distance-Based Conceptual Clustering
- Mining Frequent Connected Subgraphs Reducing the Number of Candidates
- Unsupervised Riemannian Clustering of Probability Density Functions
- Online Manifold Regularization: A New Learning Setting and Empirical Study
- A Fast Algorithm to Find Overlapping Communities in Networks
- A Case Study in Sequential Pattern Mining for IT-Operational Risk
- Tight Optimistic Estimates for Fast Subgroup Discovery
- Watch, Listen & Learn: Co-training on Captioned Images and Videos
- Parameter Learning in Probabilistic Databases: A Least Squares Approach
- Improving k-Nearest Neighbour Classification with Distance Functions Based on Receiver Operating Characteristics
- One-Class Classification by Combining Density and Class Probability Estimation
- Efficient Frequent Connected Subgraph Mining in Graphs of Bounded Treewidth
- Proper Model Selection with Significance Test
- A Projection-Based Framework for Classifier Performance Evaluation
- Distortion-Free Nonlinear Dimensionality Reduction
- Learning with L q? vs L 1-Norm Regularisation with Exponentially Many Irrelevant Features
- Catenary Support Vector Machines
- Exact and Approximate Inference for Annotating Graphs with Structural SVMs
- Extracting Semantic Networks from Text Via Relational Clustering
- Ranking the Uniformity of Interval Pairs
- Multiagent Reinforcement Learning for Urban Traffic Control Using Coordination Graphs
- StreamKrimp: Detecting Change in Data Streams.