Machine learning : ECML 2004 : 15th European Conference on Machine Learning, Pisa, Italy, September 20-24, 2004 : proceedings
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| Collectivité auteur: | |
| Autres auteurs: | , |
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Collection: | Lecture notes in computer science. Lecture notes in artificial intelligence
3201 |
| Sujets: | |
| Accès en ligne: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Note: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Machine learning, ECML 2004, 15th European Conference on Machine Learning, Pisa, Italy, September 20-24, 2004, Jean-Francois Boulicaut, Floriana Esposito, Fosca Giannotti ... [et al.] (eds.), Berlin, Springer, 2004, 1 vol. (XVIII-580 p.), Lecture notes in computer science, 3-540-23105-6 • Machine Learning: ECML 2004, Texte imprimé, 9783662183670 |
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| 100 | 1 | |a Boulicaut, Jean-François, |d 1960- | |
| 245 | 1 | 0 | |a Machine learning : |b ECML 2004 : 15th European Conference on Machine Learning, Pisa, Italy, September 20-24, 2004 : proceedings |c edited by Jean-François Boulicaut, Floriana Esposito, Fosca Giannotti... [et al.]. |
| 260 | |a Berlin [etc.] : |b Springer. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Lecture notes in computer science. Lecture notes in artificial intelligence |v 3201 |x 1611-3349 |x 2945-9141 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 0 | |a 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 RelationalData: 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-BasedImage 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. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 650 | |a Informatique | ||
| 650 | |a Apprentissage automatique | ||
| 650 | |a Algorithmes | ||
| 650 | |a Intelligence artificielle | ||
| 650 | |a Logique symbolique et mathématique | ||
| 650 | |a Actes de congrès | ||
| 700 | 1 | |a Esposito, Floriana, |d 1947- |4 pbd | |
| 700 | 1 | |a Giannotti, Fosca, |d 19..- |4 pbd | |
| 711 | 2 | |a European conference on machine learning |n (15 |d :2004 |c :Pise, Italie). |4 aut | |
| 776 | 0 | |0 081182406 |t Machine learning |o ECML 2004 |o 15th European Conference on Machine Learning, Pisa, Italy, September 20-24, 2004 |f Jean-Francois Boulicaut, Floriana Esposito, Fosca Giannotti ... [et al.] (eds.) |c Berlin |n Springer |d 2004 |p 1 vol. (XVIII-580 p.) |s Lecture notes in computer science |z 3-540-23105-6 | |
| 776 | 0 | |t Machine Learning: ECML 2004 |b Texte imprimé |z 9783662183670 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/b100702 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-NTV231ZB-0 |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:750650214 |u https://ezproxy.univ-orleans.fr/login?url=https://doi.org/10.1007/b100702 |z Accès Université d'Orléans | |
| 856 | 4 | |5 180339901:754000729 |u https://ezproxy.insa-cvl.fr/login?qurl=https://doi.org/10.1007/b100702 |z Accès INSA CVL | |
| 997 | |0 971652 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||