Partially Supervised Learning : Second IAPR International Workshop, PSL 2013, Nanjing, China, May 13-14, 2013, Revised Selected Papers
This book constitutes the thoroughly refereed revised selected papers from the Second IAPR International Workshop, PSL 2013, held in Nanjing, China, in May 2013. The 10 papers included in this volume were carefully reviewed and selected from 26 submissions. Partially supervised learning is a rapidly...
Enregistré dans:
| Auteur principal: | |
|---|---|
| Autres auteurs: | |
| Format: | Livre numérique |
| Langue: | Anglais |
| Publié: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
2013.
Cham : Springer Nature |
| Collection: | Lecture Notes in Artificial Intelligence
8183 |
| Accès en ligne: | Accès sur la plateforme de l'éditeur (Springer) 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: | • Partially Supervised Learning, 9783642407048 • Partially Supervised Learning, Texte imprimé, 9783642407062 |
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| 009 | PPN176115145 | ||
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| 082 | |a 006.312 | ||
| 100 | 1 | |a Zhou, Zhi-Hua. | |
| 245 | 1 | 0 | |a Partially Supervised Learning : |b Second IAPR International Workshop, PSL 2013, Nanjing, China, May 13-14, 2013, Revised Selected Papers |c edited by Zhi-Hua Zhou, Friedhelm Schwenker. |
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c 2013. | ||
| 490 | 0 | |a Lecture Notes in Artificial Intelligence |v 8183 |x 2945-9141 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 0 | |a Partially Supervised Anomaly Detection using Convex Hulls on a 2D Parameter Space -- Self-Practice Imitation Learning from Weak Policy -- Semi-Supervised Dictionary Learning of Sparse Representations for Emotion Recognition -- Adaptive Graph Constrained NMF for Semi-Supervised Learning -- Kernel Parameter Optimization in Stretched Kernel-based Fuzzy Clustering -- Conscientiousness Measurement from Weibo s Public Information -- Meta-Learning of Exploration and Exploitation Parameters with Replacing Eligibility Traces -- Neighborhood Co-regularized Multi-view Spectral Clustering of Microbiome Data -- A Robust Image Watermarking Scheme Based on BWT and ICA -- A New Weighted Sparse Representation Based on MSLBP and Its Application to Face Recognition. | |
| 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. chttps://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 520 | |a This book constitutes the thoroughly refereed revised selected papers from the Second IAPR International Workshop, PSL 2013, held in Nanjing, China, in May 2013. The 10 papers included in this volume were carefully reviewed and selected from 26 submissions. Partially supervised learning is a rapidly evolving area of machine learning. It generalizes many kinds of learning paradigms including supervised and unsupervised learning, semi-supervised learning for classification and regression, transductive learning, semi-supervised clustering, multi-instance learning, weak label learning, policy learning in partially observable environments, etc. | ||
| 700 | 1 | |a Schwenker, Friedhelm. |4 pbd | |
| 776 | 0 | |t Partially Supervised Learning |z 9783642407048 | |
| 776 | 0 | |t Partially Supervised Learning |b Texte imprimé |z 9783642407062 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/978-3-642-40705-5 |z Accès sur la plateforme de l'éditeur (Springer) | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-R8L48VGZ-K |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:747813043 |u https://ezproxy.univ-orleans.fr/login?url=https://doi.org/10.1007/978-3-642-40705-5 |z Accès Université d'Orléans | |
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