Automated Machine Learning [[electronic resource] ] : Methods, Systems, Challenges / / edited by Frank Hutter, Lars Kotthoff, Joaquin Vanschoren |
Autore | Hutter Frank |
Edizione | [1st ed. 2019.] |
Pubbl/distr/stampa | Cham, : Springer Nature, 2019 |
Descrizione fisica | 1 online resource (XIV, 219 p. 54 illus., 45 illus. in color.) |
Disciplina | 006.3 |
Collana | The Springer Series on Challenges in Machine Learning |
Soggetto topico |
Artificial intelligence
Optical data processing Pattern recognition Artificial Intelligence Image Processing and Computer Vision Pattern Recognition |
Soggetto non controllato |
Computer science
Artificial intelligence Optical data processing Pattern recognition |
ISBN | 3-030-05318-0 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | 1 Hyperparameter Optimization -- 2 Meta-Learning -- 3 Neural Architecture Search -- 4 Auto-WEKA -- 5 Hyperopt-Sklearn -- 6 Auto-sklearn -- 7 Towards Automatically-Tuned Deep Neural Networks -- 8 TPOT -- 9 The Automatic Statistician -- 10 AutoML Challenges. |
Record Nr. | UNINA-9910337835803321 |
Hutter Frank | ||
Cham, : Springer Nature, 2019 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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Data Mining and Constraint Programming [[electronic resource] ] : Foundations of a Cross-Disciplinary Approach / / edited by Christian Bessiere, Luc De Raedt, Lars Kotthoff, Siegfried Nijssen, Barry O'Sullivan, Dino Pedreschi |
Edizione | [1st ed. 2016.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
Descrizione fisica | 1 online resource (XII, 349 p. 73 illus.) |
Disciplina | 006.312 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Application software Computer simulation Algorithms Database management Data mining Artificial Intelligence Information Systems Applications (incl. Internet) Simulation and Modeling Algorithm Analysis and Problem Complexity Database Management Data Mining and Knowledge Discovery |
ISBN | 3-319-50137-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction to Combinatorial Optimisation in Numberjack -- Data Mining and Constraints: An Overview -- New Approaches to Constraint Acquisition -- ModelSeeker: Extracting Global Constraint Models from Positive Examples -- Learning Constraint Satisfaction Problems: An ILP Perspective -- Learning Modulo Theories -- Algorithm Selection for Combinatorial Search Problems: A Survey -- Adapting Consistency in Constraint Solving -- Modeling in MiningZinc -- Partition-Based Clustering Using Constraint Optimisation -- The Inductive Constraint Programming Loop -- ICON Loop Carpooling Show Case -- ICON Loop Health Show Case -- ICON Loop Energy Show Case. |
Record Nr. | UNISA-996465760103316 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. di Salerno | ||
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Data Mining and Constraint Programming : Foundations of a Cross-Disciplinary Approach / / edited by Christian Bessiere, Luc De Raedt, Lars Kotthoff, Siegfried Nijssen, Barry O'Sullivan, Dino Pedreschi |
Edizione | [1st ed. 2016.] |
Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
Descrizione fisica | 1 online resource (XII, 349 p. 73 illus.) |
Disciplina | 006.312 |
Collana | Lecture Notes in Artificial Intelligence |
Soggetto topico |
Artificial intelligence
Application software Computer simulation Algorithms Database management Data mining Artificial Intelligence Information Systems Applications (incl. Internet) Simulation and Modeling Algorithm Analysis and Problem Complexity Database Management Data Mining and Knowledge Discovery |
ISBN | 3-319-50137-2 |
Formato | Materiale a stampa |
Livello bibliografico | Monografia |
Lingua di pubblicazione | eng |
Nota di contenuto | Introduction to Combinatorial Optimisation in Numberjack -- Data Mining and Constraints: An Overview -- New Approaches to Constraint Acquisition -- ModelSeeker: Extracting Global Constraint Models from Positive Examples -- Learning Constraint Satisfaction Problems: An ILP Perspective -- Learning Modulo Theories -- Algorithm Selection for Combinatorial Search Problems: A Survey -- Adapting Consistency in Constraint Solving -- Modeling in MiningZinc -- Partition-Based Clustering Using Constraint Optimisation -- The Inductive Constraint Programming Loop -- ICON Loop Carpooling Show Case -- ICON Loop Health Show Case -- ICON Loop Energy Show Case. |
Record Nr. | UNINA-9910484464303321 |
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
Materiale a stampa | ||
Lo trovi qui: Univ. Federico II | ||
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