Machine learning and knowledge discovery in databases :
General Material Designation
[Book]
Other Title Information
European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013 : proceedings.
First Statement of Responsibility
Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Železný (eds.)
Volume Designation
Part II /
PHYSICAL DESCRIPTION
Specific Material Designation and Extent of Item
1 online resource (xliv, 693 pages) :
Other Physical Details
illustrations (some col.)
SERIES
Series Title
Lecture notes in artificial intelligence
Series Title
LNCS sublibrary. SL 7, Artificial intelligence
Volume Designation
8189.
ISSN of Series
0302-9743 ;
INTERNAL BIBLIOGRAPHIES/INDEXES NOTE
Text of Note
Includes bibliographical references and index
CONTENTS NOTE
Text of Note
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
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SUMMARY OR ABSTRACT
Text of Note
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