Cargando…

Algorithmic Learning Theory 16th International Conference, ALT 2005, Singapore, October 8-11, 2005, Proceedings /

Detalles Bibliográficos
Clasificación:Libro Electrónico
Autor Corporativo: SpringerLink (Online service)
Otros Autores: Jain, Sanjay (Editor ), Simon, Hans Ulrich (Editor ), Tomita, Etsuji (Editor )
Formato: Electrónico eBook
Idioma:Inglés
Publicado: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2005.
Edición:1st ed. 2005.
Colección:Lecture Notes in Artificial Intelligence, 3734
Temas:
Acceso en línea:Texto Completo

MARC

LEADER 00000nam a22000005i 4500
001 978-3-540-31696-1
003 DE-He213
005 20221012193644.0
007 cr nn 008mamaa
008 100319s2005 gw | s |||| 0|eng d
020 |a 9783540316961  |9 978-3-540-31696-1 
024 7 |a 10.1007/11564089  |2 doi 
050 4 |a Q334-342 
050 4 |a TA347.A78 
072 7 |a UYQ  |2 bicssc 
072 7 |a COM004000  |2 bisacsh 
072 7 |a UYQ  |2 thema 
082 0 4 |a 006.3  |2 23 
245 1 0 |a Algorithmic Learning Theory  |h [electronic resource] :  |b 16th International Conference, ALT 2005, Singapore, October 8-11, 2005, Proceedings /  |c edited by Sanjay Jain, Hans Ulrich Simon, Etsuji Tomita. 
250 |a 1st ed. 2005. 
264 1 |a Berlin, Heidelberg :  |b Springer Berlin Heidelberg :  |b Imprint: Springer,  |c 2005. 
300 |a XII, 491 p.  |b online resource. 
336 |a text  |b txt  |2 rdacontent 
337 |a computer  |b c  |2 rdamedia 
338 |a online resource  |b cr  |2 rdacarrier 
347 |a text file  |b PDF  |2 rda 
490 1 |a Lecture Notes in Artificial Intelligence,  |x 2945-9141 ;  |v 3734 
505 0 |a 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 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. 
650 0 |a Artificial intelligence. 
650 0 |a Computer science. 
650 0 |a Algorithms. 
650 0 |a Machine theory. 
650 0 |a Natural language processing (Computer science). 
650 1 4 |a Artificial Intelligence. 
650 2 4 |a Theory of Computation. 
650 2 4 |a Algorithms. 
650 2 4 |a Formal Languages and Automata Theory. 
650 2 4 |a Natural Language Processing (NLP). 
700 1 |a Jain, Sanjay.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Simon, Hans Ulrich.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
700 1 |a Tomita, Etsuji.  |e editor.  |4 edt  |4 http://id.loc.gov/vocabulary/relators/edt 
710 2 |a SpringerLink (Online service) 
773 0 |t Springer Nature eBook 
776 0 8 |i Printed edition:  |z 9783540816584 
776 0 8 |i Printed edition:  |z 9783540292425 
830 0 |a Lecture Notes in Artificial Intelligence,  |x 2945-9141 ;  |v 3734 
856 4 0 |u https://doi.uam.elogim.com/10.1007/11564089  |z Texto Completo 
912 |a ZDB-2-SCS 
912 |a ZDB-2-SXCS 
912 |a ZDB-2-LNC 
950 |a Computer Science (SpringerNature-11645) 
950 |a Computer Science (R0) (SpringerNature-43710)