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 | ||
![]() | ||
Lo trovi qui: Univ. di Salerno | ||
|
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 | ||
![]() | ||
Lo trovi qui: Univ. di Salerno | ||
|
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 | ||
![]() | ||
Lo trovi qui: Univ. di Salerno | ||
|
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 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
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 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|
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 | ||
![]() | ||
Lo trovi qui: Univ. Federico II | ||
|