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[null,"1.","Record Nr.",null,"UNISA990001948010203316"]
[null,null,"Titolo",null,"Storia della tecnica / direzione e coordinamento di A. Agostino Capocaccia"]
[null,null,"Pubbl/distr/stampa",null,"Torino : Unione tipografico-editrice torinese, 1973-1980"]
[null,null,"Descrizione fisica",null,"4 volumi : ill. ; 25 cm"]
[null,null,"Disciplina",null,"609"]
[null,null,"Soggetti",null,"Tecnologie -- Storia"]
[null,null,"Collocazione",null,"II.6. 1116/ (609 STO/, I 1 B 4/)"]
[null,null,"Lingua di pubblicazione",null,"Italiano"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,"2.","Record Nr.",null,"UNISA996466223003316"]
[null,null,"Titolo",null,"Algorithmic Learning Theory [[electronic resource] ] : 16th International Conference, ALT 2005, Singapore, October 8-11, 2005, Proceedings / / edited by Sanjay Jain, Hans Ulrich Simon, Etsuji Tomita"]
[null,null,"Pubbl/distr/stampa",null,"Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2005"]
[null,null,"ISBN",null,"3-540-31696-5"]
[{"$nulls":4},"3-540-29242-X"]
[null,null,"Edizione",null,"[1st ed. 2005.]"]
[null,null,"Descrizione fisica",null,"1 online resource (XII, 491 p.)"]
[null,null,"Collana",null,"Lecture Notes in Artificial Intelligence ; ; 3734"]
[null,null,"Disciplina",null,"006.3"]
[null,null,"Soggetti",null,"Artificial intelligence"]
[{"$nulls":4},"Computers"]
[{"$nulls":4},"Algorithms"]
[{"$nulls":4},"Mathematical logic"]
[{"$nulls":4},"Natural language processing (Computer science)"]
[{"$nulls":4},"Artificial Intelligence"]
[{"$nulls":4},"Computation by Abstract Devices"]
[{"$nulls":4},"Algorithm Analysis and Problem Complexity"]
[{"$nulls":4},"Mathematical Logic and Formal Languages"]
[{"$nulls":4},"Natural Language Processing (NLP)"]
[null,null,"Lingua di pubblicazione",null,"Inglese"]
[null,null,"Formato",null,"Materiale a stampa"]
[null,null,null,"Livello bibliografico","Monografia"]
[null,null,null,"Note generali","Bibliographic Level Mode of Issuance: Monograph"]
[null,null,null,"Nota di bibliografia","Includes bibliographical references and index."]
[null,null,"Nota di contenuto",null,"Editors’ Introduction -- Editors’ Introduction -- Invited Papers -- Invention and Artificial Intelligence -- The Arrowsmith Project: 2005 Status Report -- The Robot Scientist Project -- Algorithms and Software for Collaborative Discovery from Autonomous, Semantically Heterogeneous, Distributed Information Sources -- Training Support Vector Machines via SMO-Type Decomposition Methods -- Kernel-Based Learning -- Measuring Statistical Dependence with Hilbert-Schmidt Norms -- An Analysis of the Anti-learning Phenomenon for the Class Symmetric Polyhedron -- Learning Causal Structures Based on Markov Equivalence Class -- Stochastic Complexity for Mixture of Exponential Families in Variational Bayes -- ACME: An Associative Classifier Based on Maximum Entropy Principle -- Constructing Multiclass Learners from Binary Learners: A Simple Black-Box Analysis "]
[{"$nulls":4},"of the Generalization Errors -- On Computability of Pattern Recognition Problems -- PAC-Learnability of Probabilistic Deterministic Finite State Automata in Terms of Variation Distance -- Learnability of Probabilistic Automata via Oracles -- Learning Attribute-Efficiently with Corrupt Oracles -- Learning DNF by Statistical and Proper Distance Queries Under the Uniform Distribution -- Learning of Elementary Formal Systems with Two Clauses Using Queries -- Gold-Style and Query Learning Under Various Constraints on the Target Class -- Non U-Shaped Vacillatory and Team Learning -- Learning Multiple Languages in Groups -- Inferring Unions of the Pattern Languages by the Most Fitting Covers -- Identification in the Limit of Substitutable Context-Free Languages -- Algorithms for Learning Regular Expressions -- A Class of Prolog Programs with Non-linear Outputs Inferable from Positive Data -- Absolute Versus Probabilistic Classification in a Logical Setting -- Online Allocation with Risk Information -- Defensive Universal Learning with Experts -- On Following the Perturbed Leader in the Bandit Setting -- Mixture of Vector Experts -- On-line Learning with Delayed Label Feedback -- Monotone Conditional Complexity Bounds on Future Prediction Errors -- Non-asymptotic Calibration and Resolution -- Defensive Prediction with Expert Advice -- Defensive Forecasting for Linear Protocols -- Teaching Learners with Restricted Mind Changes."]