Multiple classifier systems : First International Workshop, MCS 2000 Cagliari, Italy, June 21 23, 2000 : proceedings
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| Autor Corporativo: | |
|---|---|
| Outros Autores: | , |
| Formato: | Livre numérique |
| Idioma: | Anglais |
| Publicado em: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Colecção: | Lecture notes in computer science
1857 |
| Assuntos: | |
| Acesso em linha: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Nota: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Multiple classifier systems, First International Workshop, MCS 2000, Cagliari, Italy, June 2000, Proceedings, Josef Kittler, Fabio Roli (eds.), Berlin, Springer, 2000, 1 vol. (XII-404 p.), Lecture notes in computer science, 3-540-67704-6 • Multiple Classifier Systems, Texte imprimé, 9783662168264 |
| LEADER | 05176nam a22004337a 4500 | ||
|---|---|---|---|
| 001 | 970616 | ||
| 008 | 110927q2000 xxe ||| |||| 00| 0 eng d | ||
| 009 | PPN155193597 | ||
| 020 | |a 9783540450146 (PDF) | ||
| 041 | 0 | |a eng | |
| 082 | |a 004 | ||
| 111 | 2 | |a International Workshop on Multiple Classifier Systems |n (01 |d :2000 |c :Cagliari). | |
| 245 | 1 | 0 | |a Multiple classifier systems : |b First International Workshop, MCS 2000 Cagliari, Italy, June 21 23, 2000 : proceedings |c [edited by] Josef Kittler, Fabio Roli. |
| 260 | |a Berlin [etc.] : |b Springer. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Lecture notes in computer science |v 1857 |x 1611-3349 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 0 | |a Ensemble Methods in Machine Learning -- Experiments with Classifier Combining Rules -- The Test and Select Approach to Ensemble Combination -- A Survey of Sequential Combination of Word Recognizers in Handwritten Phrase Recognition at CEDAR -- Multiple Classifier Combination Methodologies for Different Output Levels -- A Mathematically Rigorous Foundation for Supervised Learning -- Classifier Combinations: Implementations and Theoretical Issues -- Some Results on Weakly Accurate Base Learners for Boosting Regression and Classification -- Complexity of Classification Problems and Comparative Advantages of Combined Classifiers -- Effectiveness of Error Correcting Output Codes in Multiclass Learning Problems -- Combining Fisher Linear Discriminants for Dissimilarity Representations -- A Learning Method of Feature Selection for Rough Classification -- Analysis of a Fusion Method for Combining Marginal Classifiers -- A hybrid projection based and radial basis function architecture -- Combining Multiple Classifiers in Probabilistic Neural Networks -- Supervised Classifier Combination through Generalized Additive Multi-model -- Dynamic Classifier Selection -- Boosting in Linear Discriminant Analysis -- Different Ways of Weakening Decision Trees and Their Impact on Classification Accuracy of DT Combination -- Applying Boosting to Similarity Literals for Time Series Classification -- Boosting of Tree-Based Classifiers for Predictive Risk Modeling in GIS -- A New Evaluation Method for Expert Combination in Multi-expert System Designing -- Diversity between Neural Networks and Decision Trees for Building Multiple Classifier Systems -- Self-Organizing Decomposition of Functions -- Classifier Instability and Partitioning -- A Hierarchical Multiclassifier System for Hyperspectral Data Analysis.-Consensus Based Classification of Multisource Remote Sensing Data -- Combining Parametric and Nonparametric Classifiers for an Unsupervised Updating of Land-Cover Maps -- A Multiple Self-Organizing Map Scheme for Remote Sensing Classification -- Use of Lexicon Density in Evaluating Word Recognizers -- A Multi-expert System for Dynamic Signature Verification -- A Cascaded Multiple Expert System for Verification -- Architecture for Classifier Combination Using Entropy Measures -- Combining Fingerprint Classifiers -- Statistical Sensor Calibration for Fusion of Different Classifiers in a Biometric Person Recognition Framework -- A Modular Neuro-Fuzzy Network for Musical Instruments Classification -- Classifier Combination for Grammar-Guided Sentence Recognition -- Shape Matching and Extraction by an Array of Figure-and-Ground Classifiers. | |
| 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 Traitement d'images | ||
| 650 | |a Réseaux neuronaux (informatique) | ||
| 650 | |a Perception des structures | ||
| 650 | |a Actes de congrès | ||
| 700 | 1 | |a Kittler, Josef, |d 1946- |4 pbd | |
| 700 | 1 | |a Roli, Fabio, |d 1962- |4 pbd | |
| 776 | 0 | |0 051950731 |t Multiple classifier systems |o First International Workshop, MCS 2000, Cagliari, Italy, June 2000 |o Proceedings |f Josef Kittler, Fabio Roli (eds.) |c Berlin |n Springer |d 2000 |p 1 vol. (XII-404 p.) |s Lecture notes in computer science |z 3-540-67704-6 | |
| 776 | 0 | |t Multiple Classifier Systems |b Texte imprimé |z 9783662168264 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/3-540-45014-9 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-HM4V0ZF5-4 |z Accès sur la plateforme Istex | |
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