000 04716nam a22006135i 4500
001 978-3-540-31696-1
003 DE-He213
005 20240730200314.0
007 cr nn 008mamaa
008 100319s2005 gw | s |||| 0|eng d
020 _a9783540316961
_9978-3-540-31696-1
024 7 _a10.1007/11564089
_2doi
050 4 _aQ334-342
050 4 _aTA347.A78
072 7 _aUYQ
_2bicssc
072 7 _aCOM004000
_2bisacsh
072 7 _aUYQ
_2thema
082 0 4 _a006.3
_223
245 1 0 _aAlgorithmic Learning Theory
_h[electronic resource] :
_b16th International Conference, ALT 2005, Singapore, October 8-11, 2005, Proceedings /
_cedited by Sanjay Jain, Hans Ulrich Simon, Etsuji Tomita.
250 _a1st ed. 2005.
264 1 _aBerlin, Heidelberg :
_bSpringer Berlin Heidelberg :
_bImprint: Springer,
_c2005.
300 _aXII, 491 p.
_bonline resource.
336 _atext
_btxt
_2rdacontent
337 _acomputer
_bc
_2rdamedia
338 _aonline resource
_bcr
_2rdacarrier
347 _atext file
_bPDF
_2rda
490 1 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v3734
505 0 _aEditors' 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 -- NonĀ 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 _aArtificial intelligence.
_93407
650 0 _aComputer science.
_99832
650 0 _aAlgorithms.
_93390
650 0 _aMachine theory.
_9162807
650 0 _aNatural language processing (Computer science).
_94741
650 1 4 _aArtificial Intelligence.
_93407
650 2 4 _aTheory of Computation.
_9162808
650 2 4 _aAlgorithms.
_93390
650 2 4 _aFormal Languages and Automata Theory.
_9162809
650 2 4 _aNatural Language Processing (NLP).
_931587
700 1 _aJain, Sanjay.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9162810
700 1 _aSimon, Hans Ulrich.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9162811
700 1 _aTomita, Etsuji.
_eeditor.
_4edt
_4http://id.loc.gov/vocabulary/relators/edt
_9162812
710 2 _aSpringerLink (Online service)
_9162813
773 0 _tSpringer Nature eBook
776 0 8 _iPrinted edition:
_z9783540292425
776 0 8 _iPrinted edition:
_z9783540816584
830 0 _aLecture Notes in Artificial Intelligence,
_x2945-9141 ;
_v3734
_9162814
856 4 0 _uhttps://doi.org/10.1007/11564089
912 _aZDB-2-SCS
912 _aZDB-2-SXCS
912 _aZDB-2-LNC
942 _cELN
999 _c95982
_d95982