Multi-disciplinary trends in artificial intelligence : 7th International Workshop, MIWAI 2013, Krabi, Thailand, December 9-11, 2013 : proceedings
This book constitutes the thoroughly refereed conference proceedings of the 7th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2013, held in Krabi, Thailand, in December 2013. The 30 full papers were carefully reviewed and selected from 65 submissions and cov...
Enregistré dans:
| Hovedforfatter: | |
|---|---|
| Andre forfattere: | , , |
| Format: | Livre numérique |
| Sprog: | Anglais |
| Udgivet: |
Berlin, Heidelberg :
Springer Berlin Heidelberg
[20..].
Cham : Springer Nature |
| Udgivelse: | 1st ed. 2013. |
| Serier: | Lecture Notes in Artificial Intelligence
8271 |
| Online adgang: | Accès sur la plateforme de l'éditeur (Springer) Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
| Kommentar: |
Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Multi-disciplinary Trends in Artificial Intelligence, Texte imprimé, 9783642449482 • Multi-disciplinary Trends in Artificial Intelligence, Texte imprimé, 9783642449505 |
| LEADER | 03296nam a22003737a 4500 | ||
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| 020 | |a 9783642449499 | ||
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| 100 | 1 | |a Romanna, Sheela. | |
| 245 | 1 | 0 | |a Multi-disciplinary trends in artificial intelligence : |b 7th International Workshop, MIWAI 2013, Krabi, Thailand, December 9-11, 2013 : proceedings |c edited by Sheela Ramanna, Pawan Lingras, Chattrakul Sombattheera, Aneesh Krishna. |
| 250 | |a 1st ed. 2013. | ||
| 260 | |a Berlin, Heidelberg : |b Springer Berlin Heidelberg. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Lecture Notes in Artificial Intelligence |v 8271 |x 2945-9141 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 1 | |a Region Based Indexing and Retrieval of MR-T2 Brain Images Human Activity Recognition through Identification of Actions Survey on Anomaly Detection using Data Mining Techniques An ET-Based Low-Level Solution for Query-Answering Problems Incremental Rough Possibilistic K-Modes Algorithm for designing non-identical rectangular machine layout Induction Motor Control using Two Intelligent Algorithms Analysis Unscented Kalman Filter for Noisy Multivariate Financial Time-Series Data Design of a multi-day tour-and-charging scheduler for electric vehicles. | |
| 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 | ||
| 520 | |a This book constitutes the thoroughly refereed conference proceedings of the 7th International Conference on Multi-disciplinary Trends in Artificial Intelligence, MIWAI 2013, held in Krabi, Thailand, in December 2013. The 30 full papers were carefully reviewed and selected from 65 submissions and cover topics such as cognitive science, computational intelligence, computational philosophy, game theory, machine learning, multi-agent systems, natural language, representation and reasoning, speech, vision and the web | ||
| 700 | 1 | |a Lingras, Pawan. |4 pbd | |
| 700 | 1 | |a Sombattheera, Chattrakul. |4 pbd | |
| 700 | 1 | |a Krishna, Aneesh. |4 pbd | |
| 776 | 0 | |t Multi-disciplinary Trends in Artificial Intelligence |b Texte imprimé |z 9783642449482 | |
| 776 | 0 | |t Multi-disciplinary Trends in Artificial Intelligence |b Texte imprimé |z 9783642449505 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/978-3-642-44949-9 |z Accès sur la plateforme de l'éditeur (Springer) | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-QJ3GVPHD-B |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:74781239X |u https://ezproxy.univ-orleans.fr/login?url=https://doi.org/10.1007/978-3-642-44949-9 |z Accès Université d'Orléans | |
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