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Machine Learning and Knowledge Discovery in Databases [[electronic resource] ] : European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I / / edited by Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Železný
Machine Learning and Knowledge Discovery in Databases [[electronic resource] ] : European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I / / edited by Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Železný
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (LIV, 691 p. 198 illus.)
Disciplina 006.31
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Data mining
Artificial intelligence
Pattern recognition
Computer science—Mathematics
Mathematical statistics
Information storage and retrieval
Data Mining and Knowledge Discovery
Artificial Intelligence
Pattern Recognition
Discrete Mathematics in Computer Science
Probability and Statistics in Computer Science
Information Storage and Retrieval
ISBN 3-642-40988-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNISA-996466041203316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Machine Learning and Knowledge Discovery in Databases [[electronic resource] ] : 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
Machine Learning and Knowledge Discovery in Databases [[electronic resource] ] : 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
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (XLIV, 693 p. 160 illus.)
Disciplina 006.312
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Data mining
Artificial intelligence
Pattern recognition
Computer science—Mathematics
Mathematical statistics
Information storage and retrieval
Data Mining and Knowledge Discovery
Artificial Intelligence
Pattern Recognition
Discrete Mathematics in Computer Science
Probability and Statistics in Computer Science
Information Storage and Retrieval
ISBN 3-642-40991-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNISA-996466042203316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Machine Learning and Knowledge Discovery in Databases [[electronic resource] ] : European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part III / / edited by Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Železný
Machine Learning and Knowledge Discovery in Databases [[electronic resource] ] : European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part III / / edited by Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Železný
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (XLVI, 691 p. 190 illus.)
Disciplina 006.312
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Data mining
Artificial intelligence
Pattern recognition
Computer science—Mathematics
Mathematical statistics
Information storage and retrieval
Data Mining and Knowledge Discovery
Artificial Intelligence
Pattern Recognition
Discrete Mathematics in Computer Science
Probability and Statistics in Computer Science
Information Storage and Retrieval
ISBN 3-642-40994-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNISA-996466043103316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part III / / edited by Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Železný
Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part III / / edited by Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Železný
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (XLVI, 691 p. 190 illus.)
Disciplina 006.312
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Data mining
Artificial intelligence
Pattern recognition
Computer science—Mathematics
Mathematical statistics
Information storage and retrieval
Data Mining and Knowledge Discovery
Artificial Intelligence
Pattern Recognition
Discrete Mathematics in Computer Science
Probability and Statistics in Computer Science
Information Storage and Retrieval
ISBN 3-642-40994-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNINA-9910484063703321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
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
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
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (XLIV, 693 p. 160 illus.)
Disciplina 006.312
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Data mining
Artificial intelligence
Pattern recognition
Computer science—Mathematics
Mathematical statistics
Information storage and retrieval
Data Mining and Knowledge Discovery
Artificial Intelligence
Pattern Recognition
Discrete Mathematics in Computer Science
Probability and Statistics in Computer Science
Information Storage and Retrieval
ISBN 3-642-40991-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNINA-9910484063603321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I / / edited by Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Železný
Machine Learning and Knowledge Discovery in Databases : European Conference, ECML PKDD 2013, Prague, Czech Republic, September 23-27, 2013, Proceedings, Part I / / edited by Hendrik Blockeel, Kristian Kersting, Siegfried Nijssen, Filip Železný
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (LIV, 691 p. 198 illus.)
Disciplina 006.31
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Data mining
Artificial intelligence
Pattern recognition
Computer science—Mathematics
Mathematical statistics
Information storage and retrieval
Data Mining and Knowledge Discovery
Artificial Intelligence
Pattern Recognition
Discrete Mathematics in Computer Science
Probability and Statistics in Computer Science
Information Storage and Retrieval
ISBN 3-642-40988-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 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.
Record Nr. UNINA-9910483427203321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui