LEADER 00793nam0-22002891i-450- 001 990001470180403321 005 20001010 035 $a000147018 035 $aFED01000147018 035 $a(Aleph)000147018FED01 035 $a000147018 100 $a20000920d1938----km-y0itay50------ba 101 0 $aspa 102 $aAG 105 $aa---a---001yy 200 1 $a<>especies de "Diaporthe"$een el herbario Spegazzini$fpor L.E. Wehmeyer 210 $aBuenos Aires$cImprenta Y Casa Editora "Coni"$d1938 215 $a23 p.$d25 cm 610 0 $aFlora 700 1$aWehmeyer,$bLewis E.$065271 801 0$aIT$bUNINA$gRICA$2UNIMARC 901 $aBK 912 $a990001470180403321 952 $a19 IV 16$b$fDBV 959 $aDBV 996 $aEspecies de "Diaporthe"$9378573 997 $aUNINA LEADER 04990nam 22007335 450 001 996466021703316 005 20200705153848.0 010 $a3-540-46650-9 024 7 $a10.1007/11894841 035 $a(CKB)1000000000283727 035 $a(SSID)ssj0000316163 035 $a(PQKBManifestationID)11242657 035 $a(PQKBTitleCode)TC0000316163 035 $a(PQKBWorkID)10263865 035 $a(PQKB)11188109 035 $a(DE-He213)978-3-540-46650-5 035 $a(MiAaPQ)EBC3068510 035 $a(PPN)123139112 035 $a(EXLCZ)991000000000283727 100 $a20100301d2006 u| 0 101 0 $aeng 135 $aurnn|008mamaa 181 $ctxt 182 $cc 183 $acr 200 10$aAlgorithmic Learning Theory$b[electronic resource] $e17th International Conference, ALT 2006, Barcelona, Spain, October 7-10, 2006, Proceedings /$fedited by José L. Balcázar, Philip M. Long, Frank Stephan 205 $a1st ed. 2006. 210 1$aBerlin, Heidelberg :$cSpringer Berlin Heidelberg :$cImprint: Springer,$d2006. 215 $a1 online resource (XIII, 393 p.) 225 1 $aLecture Notes in Artificial Intelligence ;$v4264 300 $aBibliographic Level Mode of Issuance: Monograph 311 $a3-540-46649-5 320 $aIncludes bibliographical references and index. 327 $aEditors? Introduction -- Editors? Introduction -- Invited Contributions -- Solving Semi-infinite Linear Programs Using Boosting-Like Methods -- e-Science and the Semantic Web: A Symbiotic Relationship -- Spectral Norm in Learning Theory: Some Selected Topics -- Data-Driven Discovery Using Probabilistic Hidden Variable Models -- Reinforcement Learning and Apprenticeship Learning for Robotic Control -- Regular Contributions -- Learning Unions of ?(1)-Dimensional Rectangles -- On Exact Learning Halfspaces with Random Consistent Hypothesis Oracle -- Active Learning in the Non-realizable Case -- How Many Query Superpositions Are Needed to Learn? -- Teaching Memoryless Randomized Learners Without Feedback -- The Complexity of Learning SUBSEQ (A) -- Mind Change Complexity of Inferring Unbounded Unions of Pattern Languages from Positive Data -- Learning and Extending Sublanguages -- Iterative Learning from Positive Data and Negative Counterexamples -- Towards a Better Understanding of Incremental Learning -- On Exact Learning from Random Walk -- Risk-Sensitive Online Learning -- Leading Strategies in Competitive On-Line Prediction -- Hannan Consistency in On-Line Learning in Case of Unbounded Losses Under Partial Monitoring -- General Discounting Versus Average Reward -- The Missing Consistency Theorem for Bayesian Learning: Stochastic Model Selection -- Is There an Elegant Universal Theory of Prediction? -- Learning Linearly Separable Languages -- Smooth Boosting Using an Information-Based Criterion -- Large-Margin Thresholded Ensembles for Ordinal Regression: Theory and Practice -- Asymptotic Learnability of Reinforcement Problems with Arbitrary Dependence -- Probabilistic Generalization of Simple Grammars and Its Application to Reinforcement Learning -- Unsupervised Slow Subspace-Learning from Stationary Processes -- Learning-Related Complexity of Linear Ranking Functions. 410 0$aLecture Notes in Artificial Intelligence ;$v4264 606 $aArtificial intelligence 606 $aComputers 606 $aAlgorithms 606 $aMathematical logic 606 $aNatural language processing (Computer science) 606 $aArtificial Intelligence$3https://scigraph.springernature.com/ontologies/product-market-codes/I21000 606 $aComputation by Abstract Devices$3https://scigraph.springernature.com/ontologies/product-market-codes/I16013 606 $aAlgorithm Analysis and Problem Complexity$3https://scigraph.springernature.com/ontologies/product-market-codes/I16021 606 $aMathematical Logic and Formal Languages$3https://scigraph.springernature.com/ontologies/product-market-codes/I16048 606 $aNatural Language Processing (NLP)$3https://scigraph.springernature.com/ontologies/product-market-codes/I21040 615 0$aArtificial intelligence. 615 0$aComputers. 615 0$aAlgorithms. 615 0$aMathematical logic. 615 0$aNatural language processing (Computer science). 615 14$aArtificial Intelligence. 615 24$aComputation by Abstract Devices. 615 24$aAlgorithm Analysis and Problem Complexity. 615 24$aMathematical Logic and Formal Languages. 615 24$aNatural Language Processing (NLP). 676 $a006.31 702 $aBalcázar$b José L$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aLong$b Philip M$4edt$4http://id.loc.gov/vocabulary/relators/edt 702 $aStephan$b Frank$4edt$4http://id.loc.gov/vocabulary/relators/edt 712 12$aALT 2006 906 $aBOOK 912 $a996466021703316 996 $aAlgorithmic Learning Theory$9771965 997 $aUNISA LEADER 02014nam 2200589 450 001 9910813727603321 005 20230807193707.0 010 $a0-299-29823-X 035 $a(CKB)3710000000493252 035 $a(EBL)4415941 035 $a(SSID)ssj0001570300 035 $a(PQKBManifestationID)16217660 035 $a(PQKBTitleCode)TC0001570300 035 $a(PQKBWorkID)12764943 035 $a(PQKB)10478316 035 $a(MiAaPQ)EBC4415941 035 $a(OCoLC)933516776 035 $a(MdBmJHUP)muse47060 035 $a(Au-PeEL)EBL4415941 035 $a(CaPaEBR)ebr11252030 035 $a(CaONFJC)MIL840798 035 $a(EXLCZ)993710000000493252 100 $a20150323h20152015 uy| 0 101 0 $aeng 135 $aur|n|---||||| 181 $ctxt 182 $cc 183 $acr 200 10$aFrom war to genocide $ecriminal politics in Rwanda, 1990-1994 /$fAndre? 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