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Machine learning : ECML 2000 : 11th European Conference on Machine Learning, Barcelona, Catalonia, Spain, May 31-June 2, 2000 : proceedings / / edited by Ramon Lopez de Mantaras, Enric Plaza
| Machine learning : ECML 2000 : 11th European Conference on Machine Learning, Barcelona, Catalonia, Spain, May 31-June 2, 2000 : proceedings / / edited by Ramon Lopez de Mantaras, Enric Plaza |
| Edizione | [1st ed. 2000.] |
| Pubbl/distr/stampa | Berlin, Germany ; ; New York, New York : , : Springer, , [2000] |
| Descrizione fisica | 1 online resource (468 p.) |
| Disciplina | 006.31 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Computer science
Computer software Artificial intelligence |
| ISBN |
1-280-80489-0
9786610804894 3-540-45164-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Invited Papers -- Beyond Occam’s Razor: Process-Oriented Evaluation -- The Representation Race — Preprocessing for Handling Time Phenomena -- Contributed Papers -- Short-Term Profiling for a Case-Based Reasoning Recommendation System -- K-SVCR. A Multi-class Support Vector Machine -- Learning Trading Rules with Inductive Logic Programming -- Improving Knowledge Discovery Using Domain Knowledge in Unsupervised Learning -- Exploiting Classifier Combination for Early Melanoma Diagnosis Support -- A Comparison of Ranking Methods for Classification Algorithm Selection -- Hidden Markov Models with Patterns and Their Application to Integrated Circuit Testing -- Comparing Complete and Partial Classification for Identifying Latently Dissatisfied Customers -- Wrapper Generation via Grammar Induction -- Diversity versus Quality in Classification Ensembles Based on Feature Selection -- Minimax TD-Learning with Neural Nets in a Markov Game -- Boosting Applied to Word Sense Disambiguation -- A Multiple Model Cost-Sensitive Approach for Intrusion Detection -- Value Miner: A Data Mining Environment for the Calculation of the Customer Lifetime Value with Application to the Automotive Industry -- Investigation and Reduction of Discretization Variance in Decision Tree Induction -- Asymmetric Co-evolution for Imperfect-Information Zero-Sum Games -- A Machine Learning Approach to Workflow Management -- The Utilization of Context Signals in the Analysis of ABR Potentials by Application of Neural Networks -- Complexity Approximation Principle and Rissanen’s Approach to Real-Valued Parameters -- Handling Continuous-Valued Attributes in Decision Tree with Neural Network Modeling -- Learning Context-Free Grammars with a Simplicity Bias -- Partially Supervised Text Classification: Combining Labeled and Unlabeled Documents Using an EM-like Scheme -- Toward an Explanatory Similarity Measure for Nearest-Neighbor Classification -- Relative Unsupervised Discretization for Regression Problems -- Metric-Based Inductive Learning Using Semantic Height Functions -- Error Analysis of Automatic Speech Recognition Using Principal Direction Divisive Partitioning -- A Study on the Performance of Large Bayes Classifier -- Dynamic Discretization of Continuous Values from Time Series -- Using a Symbolic Machine Learning Tool to Refine Lexico-syntactic Patterns -- Measuring Performance when Positives Are Rare: Relative Advantage versus Predictive Accuracy — A Biological Case-Study -- Mining TCP/IP Traffic for Network Intrusion Detection by Using a Distributed Genetic Algorithm -- Learning Patterns of Behavior by Observing System Events -- Dimensionality Reduction through Sub-space Mapping for Nearest Neighbour Algorithms -- Nonparametric Regularization of Decision Trees -- An Efficient and Effective Procedure for Updating a Competence Model for Case-Based Reasoners -- Layered Learning -- Problem Decomposition for Behavioural Cloning -- Dynamic Feature Selection in Incremental Hierarchical Clustering -- On the Boosting Pruning Problem -- An Empirical Study of MetaCost Using Boosting Algorithms -- Clustered Partial Linear Regression -- Knowledge Discovery from Very Large Databases Using Frequent Concept Lattices -- Some Improvements on Event-Sequence Temporal Region Methods. |
| Record Nr. | UNISA-996465843603316 |
| Berlin, Germany ; ; New York, New York : , : Springer, , [2000] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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