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2018 IEEE International Conference on Big Data : proceedings : December 10 - 13, 2018, Seattle, WA, USA / / edited by Naoki Abe [and twelfth others] ; sponsored by IEEE [and seven others]
2018 IEEE International Conference on Big Data : proceedings : December 10 - 13, 2018, Seattle, WA, USA / / edited by Naoki Abe [and twelfth others] ; sponsored by IEEE [and seven others]
Pubbl/distr/stampa Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018
Descrizione fisica 1 online resource (780 pages)
Disciplina 005.7
Soggetto topico Big data
ISBN 1-5386-5035-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910308058803321
Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
2018 IEEE International Conference on Big Data : proceedings : December 10 - 13, 2018, Seattle, WA, USA / / edited by Naoki Abe [and twelfth others] ; sponsored by IEEE [and seven others]
2018 IEEE International Conference on Big Data : proceedings : December 10 - 13, 2018, Seattle, WA, USA / / edited by Naoki Abe [and twelfth others] ; sponsored by IEEE [and seven others]
Pubbl/distr/stampa Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018
Descrizione fisica 1 online resource (780 pages)
Disciplina 005.7
Soggetto topico Big data
ISBN 1-5386-5035-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNISA-996575302003316
Piscataway, New Jersey : , : Institute of Electrical and Electronics Engineers, , 2018
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Algorithmic Learning Theory [[electronic resource] ] : 12th International Conference, ALT 2001, Washington, DC, USA, November 25-28, 2001. Proceedings. / / edited by Naoki Abe, Roni Khardon, Thomas Zeugmann
Algorithmic Learning Theory [[electronic resource] ] : 12th International Conference, ALT 2001, Washington, DC, USA, November 25-28, 2001. Proceedings. / / edited by Naoki Abe, Roni Khardon, Thomas Zeugmann
Edizione [1st ed. 2001.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001
Descrizione fisica 1 online resource (XII, 388 p.)
Disciplina 005.1
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Computer programming
Artificial intelligence
Computers
Algorithms
Mathematical logic
Natural language processing (Computer science)
Programming Techniques
Artificial Intelligence
Computation by Abstract Devices
Algorithm Analysis and Problem Complexity
Mathematical Logic and Formal Languages
Natural Language Processing (NLP)
ISBN 3-540-45583-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Editors’ Introduction -- Editors’ Introduction -- Invited Papers -- The Discovery Science Project in Japan -- Queries Revisited -- Robot Baby 2001 -- Discovering Mechanisms: A Computational Philosophy of Science Perspective -- Inventing Discovery Tools: Combining Information Visualization with Data Mining -- Complexity of Learning -- On Learning Correlated Boolean Functions Using Statistical Queries (Extended Abstract) -- A Simpler Analysis of the Multi-way Branching Decision Tree Boosting Algorithm -- Minimizing the Quadratic Training Error of a Sigmoid Neuron Is Hard -- Support Vector Machines -- Learning of Boolean Functions Using Support Vector Machines -- A Random Sampling Technique for Training Support Vector Machines -- New Learning Models -- Learning Coherent Concepts -- Learning Intermediate Concepts -- Real-Valued Multiple-Instance Learning with Queries -- Online Learning -- Loss Functions, Complexities, and the Legendre Transformation -- Non-linear Inequalities between Predictive and Kolmogorov Complexities -- Inductive Inference -- Learning by Switching Type of Information -- Learning How to Separate -- Learning Languages in a Union -- On the Comparison of Inductive Inference Criteria for Uniform Learning of Finite Classes -- Refutable Inductive Inference -- Refutable Language Learning with a Neighbor System -- Learning Recursive Functions Refutably -- Refuting Learning Revisited -- Learning Structures and Languages -- Efficient Learning of Semi-structured Data from Queries -- Extending Elementary Formal Systems -- Learning Regular Languages Using RFSA -- Inference of ?-Languages from Prefixes.
Record Nr. UNISA-996465910103316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Algorithmic Learning Theory : 12th International Conference, ALT 2001, Washington, DC, USA, November 25-28, 2001. Proceedings. / / edited by Naoki Abe, Roni Khardon, Thomas Zeugmann
Algorithmic Learning Theory : 12th International Conference, ALT 2001, Washington, DC, USA, November 25-28, 2001. Proceedings. / / edited by Naoki Abe, Roni Khardon, Thomas Zeugmann
Edizione [1st ed. 2001.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001
Descrizione fisica 1 online resource (XII, 388 p.)
Disciplina 005.1
Collana Lecture Notes in Artificial Intelligence
Soggetto topico Computer programming
Artificial intelligence
Computers
Algorithms
Mathematical logic
Natural language processing (Computer science)
Programming Techniques
Artificial Intelligence
Computation by Abstract Devices
Algorithm Analysis and Problem Complexity
Mathematical Logic and Formal Languages
Natural Language Processing (NLP)
ISBN 3-540-45583-3
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Editors’ Introduction -- Editors’ Introduction -- Invited Papers -- The Discovery Science Project in Japan -- Queries Revisited -- Robot Baby 2001 -- Discovering Mechanisms: A Computational Philosophy of Science Perspective -- Inventing Discovery Tools: Combining Information Visualization with Data Mining -- Complexity of Learning -- On Learning Correlated Boolean Functions Using Statistical Queries (Extended Abstract) -- A Simpler Analysis of the Multi-way Branching Decision Tree Boosting Algorithm -- Minimizing the Quadratic Training Error of a Sigmoid Neuron Is Hard -- Support Vector Machines -- Learning of Boolean Functions Using Support Vector Machines -- A Random Sampling Technique for Training Support Vector Machines -- New Learning Models -- Learning Coherent Concepts -- Learning Intermediate Concepts -- Real-Valued Multiple-Instance Learning with Queries -- Online Learning -- Loss Functions, Complexities, and the Legendre Transformation -- Non-linear Inequalities between Predictive and Kolmogorov Complexities -- Inductive Inference -- Learning by Switching Type of Information -- Learning How to Separate -- Learning Languages in a Union -- On the Comparison of Inductive Inference Criteria for Uniform Learning of Finite Classes -- Refutable Inductive Inference -- Refutable Language Learning with a Neighbor System -- Learning Recursive Functions Refutably -- Refuting Learning Revisited -- Learning Structures and Languages -- Efficient Learning of Semi-structured Data from Queries -- Extending Elementary Formal Systems -- Learning Regular Languages Using RFSA -- Inference of ?-Languages from Prefixes.
Record Nr. UNINA-9910767574803321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2001
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui