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Algorithmic Learning Theory [[electronic resource] ] : 21st International Conference, ALT 2010, Canberra, Australia, October 6-8, 2010. Proceedings / / edited by Marcus Hutter, Frank Stephan, Vladimir Vovk, Thomas Zeugmann
| Algorithmic Learning Theory [[electronic resource] ] : 21st International Conference, ALT 2010, Canberra, Australia, October 6-8, 2010. Proceedings / / edited by Marcus Hutter, Frank Stephan, Vladimir Vovk, Thomas Zeugmann |
| Edizione | [1st ed. 2010.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
| Descrizione fisica | 1 online resource (XIII, 421 p. 45 illus.) |
| Disciplina | 006.3/1 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Computer programming Mathematical logic Algorithms Computers Computer logic Artificial Intelligence Programming Techniques Mathematical Logic and Formal Languages Algorithm Analysis and Problem Complexity Computation by Abstract Devices Logics and Meanings of Programs |
| ISBN |
1-280-38945-1
9786613567376 3-642-16108-1 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Editors’ Introduction -- Editors’ Introduction -- Invited Papers -- Towards General Algorithms for Grammatical Inference -- The Blessing and the Curse of the Multiplicative Updates -- Discovery of Abstract Concepts by a Robot -- Contrast Pattern Mining and Its Application for Building Robust Classifiers -- Optimal Online Prediction in Adversarial Environments -- Regular Contributions -- An Algorithm for Iterative Selection of Blocks of Features -- Bayesian Active Learning Using Arbitrary Binary Valued Queries -- Approximation Stability and Boosting -- A Spectral Approach for Probabilistic Grammatical Inference on Trees -- PageRank Optimization in Polynomial Time by Stochastic Shortest Path Reformulation -- Inferring Social Networks from Outbreaks -- Distribution-Dependent PAC-Bayes Priors -- PAC Learnability of a Concept Class under Non-atomic Measures: A Problem by Vidyasagar -- A PAC-Bayes Bound for Tailored Density Estimation -- Compressed Learning with Regular Concept -- A Lower Bound for Learning Distributions Generated by Probabilistic Automata -- Lower Bounds on Learning Random Structures with Statistical Queries -- Recursive Teaching Dimension, Learning Complexity, and Maximum Classes -- Toward a Classification of Finite Partial-Monitoring Games -- Switching Investments -- Prediction with Expert Advice under Discounted Loss -- A Regularization Approach to Metrical Task Systems -- Solutions to Open Questions for Non-U-Shaped Learning with Memory Limitations -- Learning without Coding -- Learning Figures with the Hausdorff Metric by Fractals -- Inductive Inference of Languages from Samplings -- Optimality Issues of Universal Greedy Agents with Static Priors -- Consistency of Feature Markov Processes -- Algorithms for Adversarial Bandit Problems with Multiple Plays -- Online Multiple Kernel Learning: Algorithms and Mistake Bounds -- An Identity for Kernel Ridge Regression. |
| Record Nr. | UNISA-996465982503316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Conformal and Probabilistic Prediction with Applications [[electronic resource] ] : 5th International Symposium, COPA 2016, Madrid, Spain, April 20-22, 2016, Proceedings / / edited by Alexander Gammerman, Zhiyuan Luo, Jesús Vega, Vladimir Vovk
| Conformal and Probabilistic Prediction with Applications [[electronic resource] ] : 5th International Symposium, COPA 2016, Madrid, Spain, April 20-22, 2016, Proceedings / / edited by Alexander Gammerman, Zhiyuan Luo, Jesús Vega, Vladimir Vovk |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XII, 229 p. 45 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Algorithms Application software Data mining Database management Computers Artificial Intelligence Algorithm Analysis and Problem Complexity Information Systems Applications (incl. Internet) Data Mining and Knowledge Discovery Database Management Computation by Abstract Devices |
| ISBN | 3-319-33395-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Theory of conformal prediction -- Applications of conformal prediction -- Machine learning. |
| Record Nr. | UNISA-996465724303316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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Conformal and Probabilistic Prediction with Applications : 5th International Symposium, COPA 2016, Madrid, Spain, April 20-22, 2016, Proceedings / / edited by Alexander Gammerman, Zhiyuan Luo, Jesús Vega, Vladimir Vovk
| Conformal and Probabilistic Prediction with Applications : 5th International Symposium, COPA 2016, Madrid, Spain, April 20-22, 2016, Proceedings / / edited by Alexander Gammerman, Zhiyuan Luo, Jesús Vega, Vladimir Vovk |
| Edizione | [1st ed. 2016.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 |
| Descrizione fisica | 1 online resource (XII, 229 p. 45 illus.) |
| Disciplina | 006.3 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Algorithms Application software Data mining Database management Computers Artificial Intelligence Algorithm Analysis and Problem Complexity Information Systems Applications (incl. Internet) Data Mining and Knowledge Discovery Database Management Computation by Abstract Devices |
| ISBN | 3-319-33395-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Theory of conformal prediction -- Applications of conformal prediction -- Machine learning. |
| Record Nr. | UNINA-9910484227703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Measures of Complexity : Festschrift for Alexey Chervonenkis / / edited by Vladimir Vovk, Harris Papadopoulos, Alexander Gammerman
| Measures of Complexity : Festschrift for Alexey Chervonenkis / / edited by Vladimir Vovk, Harris Papadopoulos, Alexander Gammerman |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (413 p.) |
| Disciplina | 004 |
| Soggetto topico |
Artificial intelligence
Statistics Mathematical statistics Mathematical optimization Artificial Intelligence Statistical Theory and Methods Probability and Statistics in Computer Science Optimization |
| ISBN | 3-319-21852-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chervonenkis’s Recollections -- A Paper That Created Three New Fields -- On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities -- Sketched History: VC Combinatorics, 1826 up to 1975 -- Institute of Control Sciences through the Lens of VC Dimension -- VC Dimension, Fat-Shattering Dimension, Rademacher Averages, and Their Applications -- Around Kolmogorov Complexity: Basic Notions and Results -- Predictive Complexity for Games with Finite Outcome Spaces -- Making Vapnik–Chervonenkis Bounds Accurate -- Comment: Transductive PAC-Bayes Bounds Seen as a Generalization of Vapnik–Chervonenkis Bounds -- Comment: The Two Styles of VC Bounds -- Rejoinder: Making VC Bounds Accurate -- Measures of Complexity in the Theory of Machine Learning -- Classes of Functions Related to VC Properties -- On Martingale Extensions of Vapnik–Chervonenkis -- Theory with Applications to Online Learning -- Measuring the Capacity of Sets of Functions in the Analysis of ERM -- Algorithmic Statistics Revisited -- Justifying Information-Geometric Causal Inference -- Interpretation of Black-Box Predictive Models -- PAC-Bayes Bounds for Supervised Classification -- Bounding Embeddings of VC Classes into Maximum Classes -- Algorithmic Statistics Revisited -- Justifying Information-Geometric Causal Inference -- Interpretation of Black-Box Predictive Models -- PAC-Bayes Bounds for Supervised Classification -- Bounding Embeddings of VC Classes into Maximum Classes -- Strongly Consistent Detection for Nonparametric Hypotheses -- On the Version Space Compression Set Size and Its Applications -- Lower Bounds for Sparse Coding -- Robust Algorithms via PAC-Bayes and Laplace Distributions -- Postscript: Tragic Death of Alexey Chervonenkis -- Credits -- Index. |
| Record Nr. | UNINA-9910299209403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Statistical Learning and Data Sciences [[electronic resource] ] : Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings / / edited by Alexander Gammerman, Vladimir Vovk, Harris Papadopoulos
| Statistical Learning and Data Sciences [[electronic resource] ] : Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings / / edited by Alexander Gammerman, Vladimir Vovk, Harris Papadopoulos |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XIV, 444 p. 133 illus.) |
| Disciplina | 006.31 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Algorithms Application software Database management Computers Information storage and retrieval Artificial Intelligence Algorithm Analysis and Problem Complexity Information Systems Applications (incl. Internet) Database Management Computation by Abstract Devices Information Storage and Retrieval |
| ISBN | 3-319-17091-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996208604403316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Statistical Learning and Data Sciences : Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings / / edited by Alexander Gammerman, Vladimir Vovk, Harris Papadopoulos
| Statistical Learning and Data Sciences : Third International Symposium, SLDS 2015, Egham, UK, April 20-23, 2015, Proceedings / / edited by Alexander Gammerman, Vladimir Vovk, Harris Papadopoulos |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (XIV, 444 p. 133 illus.) |
| Disciplina | 006.31 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Algorithms Application software Database management Computers Information storage and retrieval Artificial Intelligence Algorithm Analysis and Problem Complexity Information Systems Applications (incl. Internet) Database Management Computation by Abstract Devices Information Storage and Retrieval |
| ISBN | 3-319-17091-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910484090703321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||