Machine Learning and Knowledge Discovery in Databases European Conference, ECML PKDD 2008, Antwerp, Belgium, September 15-19, 2008, Proceedings, Part II /
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...
| Συγγραφή απο Οργανισμό/Αρχή: | |
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| Άλλοι συγγραφείς: | , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg,
2008.
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| Σειρά: | Lecture Notes in Computer Science,
5212 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Regular Papers
- Exceptional Model Mining
- A Joint Topic and Perspective Model for Ideological Discourse
- Effective Pruning Techniques for Mining Quasi-Cliques
- Efficient Pairwise Multilabel Classification for Large-Scale Problems in the Legal Domain
- Fitted Natural Actor-Critic: A New Algorithm for Continuous State-Action MDPs
- A New Natural Policy Gradient by Stationary Distribution Metric
- Towards Machine Learning of Grammars and Compilers of Programming Languages
- Improving Classification with Pairwise Constraints: A Margin-Based Approach
- Metric Learning: A Support Vector Approach
- Support Vector Machines, Data Reduction, and Approximate Kernel Matrices
- Mixed Bregman Clustering with Approximation Guarantees
- Hierarchical, Parameter-Free Community Discovery
- A Genetic Algorithm for Text Classification Rule Induction
- Nonstationary Gaussian Process Regression Using Point Estimates of Local Smoothness
- Kernel-Based Inductive Transfer
- State-Dependent Exploration for Policy Gradient Methods
- Client-Friendly Classification over Random Hyperplane Hashes
- Large-Scale Clustering through Functional Embedding
- Clustering Distributed Sensor Data Streams
- A Novel Scalable and Data Efficient Feature Subset Selection Algorithm
- Robust Feature Selection Using Ensemble Feature Selection Techniques
- Effective Visualization of Information Diffusion Process over Complex Networks
- Actively Transfer Domain Knowledge
- A Unified View of Matrix Factorization Models
- Parallel Spectral Clustering
- Classification of Multi-labeled Data: A Generative Approach
- Pool-Based Agnostic Experiment Design in Linear Regression
- Distribution-Free Learning of Bayesian Network Structure
- Assessing Nonlinear Granger Causality from Multivariate Time Series
- Clustering Via Local Regression
- Decomposable Families of Itemsets
- Transferring Instances for Model-Based Reinforcement Learning
- A Simple Model for Sequences of Relational State Descriptions
- Semi-Supervised Boosting for Multi-Class Classification
- A Joint Segmenting and Labeling Approach for Chinese Lexical Analysis
- Transferred Dimensionality Reduction
- Multiple Manifolds Learning Framework Based on Hierarchical Mixture Density Model
- Estimating Sales Opportunity Using Similarity-Based Methods
- Learning MDP Action Models Via Discrete Mixture Trees
- Continuous Time Bayesian Networks for Host Level Network Intrusion Detection
- Data Streaming with Affinity Propagation
- Semi-supervised Discriminant Analysis Via CCCP
- Demo Papers
- A Visualization-Based Exploratory Technique for Classifier Comparison with Respect to Multiple Metrics and Multiple Domains
- Pleiades: Subspace Clustering and Evaluation
- SEDiL: Software for Edit Distance Learning
- Monitoring Patterns through an Integrated Management and Mining Tool
- A Knowledge-Based Digital Dashboard for Higher Learning Institutions
- SINDBAD and SiQL: An Inductive Database and Query Language in the Relational Model.
