Nantilus
Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part II
This three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2013, held in Prague, Czech Republic, in September 2013. The 111 revised research papers presented together with 5 invite...
Enregistré dans:
| Auteurs principaux : | , , |
|---|---|
| Format : | Livre |
| Langue : | anglais |
| Titre complet : | Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part II / edited by Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Železný. |
| Publié : |
Berlin, Heidelberg :
Springer Berlin Heidelberg
, 2013 Cham : Springer Nature |
| Collection : | Lecture Notes in Artificial Intelligence ; 8189 |
| Accès en ligne : |
Accès Nantes Université
Accès direct soit depuis les campus via le réseau ou le wifi eduroam soit à distance avec un compte @etu.univ-nantes.fr ou @univ-nantes.fr |
| Note sur l'URL : | Accès sur la plateforme de l'éditeur (Springer) Accès sur la plateforme Istex |
| Condition d'utilisation et de reproduction : | Conditions particulières de réutilisation pour les bénéficiaires des licences nationales : chttps://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 |
| Sujets : | |
| Documents associés : | Autre format:
Machine Learning and Knowledge Discovery in Databases Autre format: Machine Learning and Knowledge Discovery in Databases |
| LEADER | 05124clm a2200721 4500 | ||
|---|---|---|---|
| 001 | PPN172430291 | ||
| 003 | http://www.sudoc.fr/172430291 | ||
| 005 | 20241001155400.0 | ||
| 010 | |a 978-3-642-40991-2 | ||
| 017 | 7 | 0 | |a 10.1007/978-3-642-40991-2 |2 DOI |
| 035 | |a (OCoLC)868634898 | ||
| 035 | |a Springer978-3-642-40991-2 | ||
| 035 | |a SPRINGER_EBOOKS_LN_PLURI_10.1007/978-3-642-40991-2 | ||
| 035 | |a Springer-11645-978-3-642-40991-2 | ||
| 100 | |a 20131018d2013 u u0frey0103 ba | ||
| 101 | 0 | |a eng |2 639-2 | |
| 102 | |a DE | ||
| 105 | |a y z 100yy | ||
| 106 | |a s | ||
| 135 | |a dr||||||||||| | ||
| 181 | |6 z01 |c txt |2 rdacontent | ||
| 181 | 1 | |6 z01 |a i# |b xxxe## | |
| 182 | |6 z01 |c c |2 rdamedia | ||
| 182 | 1 | |6 z01 |a b | |
| 183 | |6 z01 |a ceb |2 RDAfrCarrier | ||
| 200 | 1 | |a Machine Learning and Knowledge Discovery in Databases |e European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part II |f edited by Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Železný. | |
| 214 | 0 | |a Berlin, Heidelberg |c Springer Berlin Heidelberg | |
| 214 | 2 | |a Cham |c Springer Nature |d 2013 | |
| 225 | 0 | |a Lecture Notes in Artificial Intelligence |x 2945-9141 |v 8189 | |
| 330 | |a This three-volume set LNAI 8188, 8189 and 8190 constitutes the refereed proceedings of the European Conference on Machine Learning and Knowledge Discovery in Databases, ECML PKDD 2013, held in Prague, Czech Republic, in September 2013. The 111 revised research papers presented together with 5 invited talks were carefully reviewed and selected from 447 submissions. The papers are organized in topical sections on reinforcement learning; Markov decision processes; active learning and optimization; learning from sequences; time series and spatio-temporal data; data streams; graphs and networks; social network analysis; natural language processing and information extraction; ranking and recommender systems; matrix and tensor analysis; structured output prediction, multi-label and multi-task learning; transfer learning; bayesian learning; graphical models; nearest-neighbor methods; ensembles; statistical learning; semi-supervised learning; unsupervised learning; subgroup discovery, outlier detection and anomaly detection; privacy and security; evaluation; applications; and medical applications. | ||
| 359 | 1 | |a Reinforcement learning -- Markov decision processes -- Active learning and optimization -- Learning from sequences -- Time series and spatio-temporal data -- Data streams -- Graphs and networks -- Social network analysis -- Natural language processing and information extraction -- Ranking and recommender systems -- Matrix and tensor analysis -- Structured output prediction, multi-label and multi-task learning -- Transfer learning -- Bayesian learning -- Graphical models -- Nearest-neighbor methods -- Ensembles -- Statistical learning -- Semi-supervised learning -- Unsupervised learning -- Subgroup discovery, outlier detection and anomaly detection -- Privacy and security -- Evaluation -- Applications -- Medical applications. | |
| 371 | 0 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | |
| 371 | 0 | |a Accès soumis à abonnement pour tout autre établissement | |
| 371 | 1 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales |c chttps://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | |
| 410 | | | |t Lecture Notes in Artificial Intelligence |x 2945-9141 |v 8189 | |
| 452 | | | |t Machine Learning and Knowledge Discovery in Databases |y 9783642409905 | |
| 452 | | | |t Machine Learning and Knowledge Discovery in Databases |b Texte imprimé |y 9783642409929 | |
| 608 | |3 PPN02886431X |a Actes de congrès |2 rameau | ||
| 610 | 1 | |a Computer Science | |
| 610 | 2 | |a Artificial Intelligence (incl. Robotics) | |
| 610 | 2 | |a Pattern Recognition | |
| 610 | 2 | |a Data Mining and Knowledge Discovery | |
| 610 | 2 | |a Discrete Mathematics in Computer Science | |
| 610 | 2 | |a Probability and Statistics in Computer Science | |
| 610 | 2 | |a Information Storage and Retrieval | |
| 610 | 2 | |a Artificial Intelligence. | |
| 610 | 2 | |a Automated Pattern Recognition | |
| 615 | |a Computer Science |n 11645 |2 Springer | ||
| 676 | |a 006.312 |v 23 | ||
| 680 | |a QA76.9.D343 | ||
| 700 | 1 | |3 PPN201776863 |a Blockeel |b Hendrik |f 19..-.... |4 651 | |
| 701 | 1 | |a Kersting |b Kristian |4 651 | |
| 701 | 1 | |a Nijssen |b Siegfried |4 651 | |
| 801 | 3 | |a FR |b Abes |c 20240814 |g AFNOR | |
| 801 | 1 | |a DE |b Springer |c 20240603 |g AACR2 | |
| 856 | 4 | |z Accès sur la plateforme de l'éditeur (Springer) |q PDF |u https://doi.org/10.1007/978-3-642-40991-2 | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-845LNQG2-H |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 441099901:830862048 |u https://budistant.univ-nantes.fr/login?url=https://doi.org/10.1007/978-3-642-40991-2 | |
| 915 | |5 441099901:830862048 |b SPRING13-01174 | ||
| 930 | |5 441099901:830862048 |b 441099901 |j g | ||
| 991 | |5 441099901:830862048 |a Exemplaire créé en masse par ITEM le 30-09-2024 16:17 | ||
| 997 | |a NUM |b SPRING13-01174 |d NUMpivo |e EM |s d | ||
| 998 | |a 979016 | ||