Machine Learning: ECML 2004 15th European Conference on Machine Learning, Pisa, Italy, September 20-24, 2004, Proceedings /
| Συγγραφή απο Οργανισμό/Αρχή: | |
|---|---|
| Άλλοι συγγραφείς: | , , , |
| Μορφή: | Ηλεκτρονική πηγή Ηλ. βιβλίο |
| Γλώσσα: | English |
| Έκδοση: |
Berlin, Heidelberg :
Springer Berlin Heidelberg : Imprint: Springer,
2004.
|
| Έκδοση: | 1st ed. 2004. |
| Σειρά: | Lecture Notes in Artificial Intelligence ;
3201 |
| Θέματα: | |
| Διαθέσιμο Online: | Full Text via HEAL-Link |
Πίνακας περιεχομένων:
- Invited Papers
- Random Matrices in Data Analysis
- Data Privacy
- Breaking Through the Syntax Barrier: Searching with Entities and Relations
- Real-World Learning with Markov Logic Networks
- Strength in Diversity: The Advance of Data Analysis
- Contributed Papers
- Filtered Reinforcement Learning
- Applying Support Vector Machines to Imbalanced Datasets
- Sensitivity Analysis of the Result in Binary Decision Trees
- A Boosting Approach to Multiple Instance Learning
- An Experimental Study of Different Approaches to Reinforcement Learning in Common Interest Stochastic Games
- Learning from Message Pairs for Automatic Email Answering
- Concept Formation in Expressive Description Logics
- Multi-level Boundary Classification for Information Extraction
- An Analysis of Stopping and Filtering Criteria for Rule Learning
- Adaptive Online Time Allocation to Search Algorithms
- Model Approximation for HEXQ Hierarchical Reinforcement Learning
- Iterative Ensemble Classification for Relational Data: A Case Study of Semantic Web Services
- Analyzing Multi-agent Reinforcement Learning Using Evolutionary Dynamics
- Experiments in Value Function Approximation with Sparse Support Vector Regression
- Constructive Induction for Classifying Time Series
- Fisher Kernels for Logical Sequences
- The Enron Corpus: A New Dataset for Email Classification Research
- Margin Maximizing Discriminant Analysis
- Multi-objective Classification with Info-Fuzzy Networks
- Improving Progressive Sampling via Meta-learning on Learning Curves
- Methods for Rule Conflict Resolution
- An Efficient Method to Estimate Labelled Sample Size for Transductive LDA(QDA/MDA) Based on Bayes Risk
- Analyzing Sensory Data Using Non-linear Preference Learning with Feature Subset Selection
- Dynamic Asset Allocation Exploiting Predictors in Reinforcement Learning Framework
- Justification-Based Selection of Training Examples for Case Base Reduction
- Using Feature Conjunctions Across Examples for Learning Pairwise Classifiers
- Feature Selection Filters Based on the Permutation Test
- Sparse Distributed Memories for On-Line Value-Based Reinforcement Learning
- Improving Random Forests
- The Principal Components Analysis of a Graph, and Its Relationships to Spectral Clustering
- Using String Kernels to Identify Famous Performers from Their Playing Style
- Associative Clustering
- Learning to Fly Simple and Robust
- Bayesian Network Methods for Traffic Flow Forecasting with Incomplete Data
- Matching Model Versus Single Model: A Study of the Requirement to Match Class Distribution Using Decision Trees
- Inducing Polynomial Equations for Regression
- Efficient Hyperkernel Learning Using Second-Order Cone Programming
- Effective Voting of Heterogeneous Classifiers
- Convergence and Divergence in Standard and Averaging Reinforcement Learning
- Document Representation for One-Class SVM
- Naive Bayesian Classifiers for Ranking
- Conditional Independence Trees
- Exploiting Unlabeled Data in Content-Based Image Retrieval
- Population Diversity in Permutation-Based Genetic Algorithm
- Simultaneous Concept Learning of Fuzzy Rules
- Posters
- SWITCH: A Novel Approach to Ensemble Learning for Heterogeneous Data
- Estimating Attributed Central Orders
- Batch Reinforcement Learning with State Importance
- Explicit Local Models: Towards "Optimal" Optimization Algorithms
- An Intelligent Model for the Signorini Contact Problem in Belt Grinding Processes
- Cluster-Grouping: From Subgroup Discovery to Clustering.
