Algorithmic Learning Theory: 10th International Conference, ALT’99 Tokyo, Japan, December 6–8, 1999 Proceedings
Invited Lectures -- Tailoring Representations to Different Requirements -- Theoretical Views of Boosting and Applications -- Extended Stochastic Complexity and Minimax Relative Loss Analysis -- Regular Contributions -- Algebraic Analysis for Singular Statistical Estimation -- Generalization Error of...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Weitere Verfasser: | |
| Dokumenttyp: | Konferenzschrift |
| Sprache: | Englisch |
| Veröffentlicht: |
Berlin, Heidelberg
Springer-Verlag Berlin Heidelberg
1999
|
| Schriftenreihe: | Lecture notes in computer science
1720 |
| In: |
Lecture notes in computer science (1720)
|
| Volumes / Articles: | Show Volumes / Articles. |
| DOI: | 10.1007/3-540-46769-6 |
| Schlagworte: | |
| Online-Zugang: | Verlag, lizenzpflichtig, Volltext: https://doi.org/10.1007/3-540-46769-6 Cover: https://swbplus.bsz-bw.de/bsz322916186cov.jpg Inhaltsverzeichnis: https://swbplus.bsz-bw.de/bsz081974973inh.htm Kapitel 1: https://swbplus.bsz-bw.de/bsz081974973kap.htm Verlag, Zentralblatt MATH, Inhaltstext: https://zbmath.org/?q=an:0929.00070 
|
| Verfasserangaben: | edited by Osamu Watanabe, Takashi Yokomori |
MARC
| LEADER | 00000cam a22000002c 4500 | ||
|---|---|---|---|
| 001 | 1649364024 | ||
| 003 | DE-627 | ||
| 005 | 20250612123718.0 | ||
| 007 | cr uuu---uuuuu | ||
| 008 | 100510s1999 xx |||||o 00| ||eng c | ||
| 020 | |a 9783540467694 |9 978-3-540-46769-4 | ||
| 024 | 7 | |a 10.1007/3-540-46769-6 |2 doi | |
| 035 | |a (DE-627)1649364024 | ||
| 035 | |a (DE-576)322916186 | ||
| 035 | |a (DE-599)BSZ322916186 | ||
| 035 | |a (OCoLC)699839666 | ||
| 035 | |a (ZBM)0929.00070 | ||
| 035 | |a (DE-He213)978-3-540-46769-4 | ||
| 035 | |a (DE-627-1)040484637 | ||
| 040 | |a DE-627 |b ger |c DE-627 |e rakwb | ||
| 041 | |a eng | ||
| 072 | 7 | |a UYQ |2 bicssc | |
| 072 | 7 | |a COM004000 |2 bisacsh | |
| 082 | 0 | |a 006.31 | |
| 082 | 0 | |a 006.3/1 | |
| 082 | 0 | |a 006.3 |2 23 | |
| 084 | |a 28 |2 sdnb | ||
| 084 | |a *00B25 |2 msc | ||
| 084 | |a 68-06 |2 msc | ||
| 084 | |a 68Q32 |2 msc | ||
| 084 | |a 68T05 |2 msc | ||
| 084 | |a 54.72 |2 bkl | ||
| 100 | 1 | |a Watanabe, Osamu |d 1947- |0 (DE-588)172585988 |0 (DE-627)697521168 |0 (DE-576)133445615 |4 aut | |
| 245 | 1 | 0 | |a Algorithmic Learning Theory |b 10th International Conference, ALT’99 Tokyo, Japan, December 6–8, 1999 Proceedings |c edited by Osamu Watanabe, Takashi Yokomori |
| 264 | 1 | |a Berlin, Heidelberg |b Springer-Verlag Berlin Heidelberg |c 1999 | |
| 300 | |a Online-Ressource | ||
| 336 | |a Text |b txt |2 rdacontent | ||
| 337 | |a Computermedien |b c |2 rdamedia | ||
| 338 | |a Online-Ressource |b cr |2 rdacarrier | ||
| 490 | 1 | |a Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence |v 1720 | |
| 490 | 0 | |a SpringerLink |a Bücher | |
| 520 | |a Invited Lectures -- Tailoring Representations to Different Requirements -- Theoretical Views of Boosting and Applications -- Extended Stochastic Complexity and Minimax Relative Loss Analysis -- Regular Contributions -- Algebraic Analysis for Singular Statistical Estimation -- Generalization Error of Linear Neural Networks in Unidentifiable Cases -- The Computational Limits to the Cognitive Power of the Neuroidal Tabula Rasa -- The Consistency Dimension and Distribution-Dependent Learning from Queries (Extended Abstract) -- The VC-Dimension of Subclasses of Pattern Languages -- On the V ? Dimension for Regression in Reproducing Kernel Hilbert Spaces -- On the Strength of Incremental Learning -- Learning from Random Text -- Inductive Learning with Corroboration -- Flattening and Implication -- Induction of Logic Programs Based on ?-Terms -- Complexity in the Case Against Accuracy: When Building One Function-Free Horn Clause Is as Hard as Any -- A Method of Similarity-Driven Knowledge Revision for Type Specializations -- PAC Learning with Nasty Noise -- Positive and Unlabeled Examples Help Learning -- Learning Real Polynomials with a Turing Machine -- Faster Near-Optimal Reinforcement Learning: Adding Adaptiveness to the E3 Algorithm -- A Note on Support Vector Machine Degeneracy -- Learnability of Enumerable Classes of Recursive Functions from “Typical” Examples -- On the Uniform Learnability of Approximations to Non-recursive Functions -- Learning Minimal Covers of Functional Dependencies with Queries -- Boolean Formulas Are Hard to Learn for Most Gate Bases -- Finding Relevant Variables in PAC Model with Membership Queries -- General Linear Relations among Different Types of Predictive Complexity -- Predicting Nearly as Well as the Best Pruning of a Planar Decision Graph -- On Learning Unions of Pattern Languages and Tree Patterns. | ||
| 650 | 0 | |a Computer science | |
| 650 | 0 | |a Computer software | |
| 650 | 0 | |a Computer Science | |
| 650 | 0 | |a Artificial intelligence | |
| 650 | 0 | |a Machine theory. | |
| 650 | 0 | |a Algorithms. | |
| 655 | 7 | |a Konferenzschrift |y 1999 |z Tokio |0 (DE-588)1071861417 |0 (DE-627)826484824 |0 (DE-576)433375485 |2 gnd-content | |
| 689 | 0 | 0 | |d s |0 (DE-588)4193754-5 |0 (DE-627)105224782 |0 (DE-576)21008944X |a Maschinelles Lernen |2 gnd |
| 689 | 0 | |5 (DE-627) | |
| 700 | 1 | |a Yokomori, Takashi |4 oth | |
| 776 | 1 | |z 9783540667483 | |
| 776 | 0 | 8 | |i Buchausg. u.d.T. |t Algorithmic learning theory |d Berlin : Springer, 1999 |h XI, 363 S |w (DE-627)304354635 |w (DE-576)081974973 |z 3540667482 |
| 830 | 0 | |a Lecture notes in computer science |v 1720 |9 1720 |w (DE-627)316228877 |w (DE-576)093890923 |w (DE-600)2018930-8 |x 1611-3349 |7 am | |
| 856 | 4 | 0 | |u https://doi.org/10.1007/3-540-46769-6 |m X:SPRINGER |x Verlag |z lizenzpflichtig |3 Volltext |
| 856 | 4 | 2 | |u https://swbplus.bsz-bw.de/bsz322916186cov.jpg |m V:DE-576 |m X:springer |q image/jpeg |v 20150730155709 |3 Cover |
| 856 | 4 | 2 | |u https://swbplus.bsz-bw.de/bsz081974973inh.htm |m V:DE-576 |v 2005-06-08 |3 Inhaltsverzeichnis |
| 856 | 4 | 2 | |u https://swbplus.bsz-bw.de/bsz081974973kap.htm |m V:DE-576 |v 2005-06-08 |3 Kapitel 1 |
| 856 | 4 | 2 | |u https://zbmath.org/?q=an:0929.00070 |m B:ZBM |v 2021-04-12 |x Verlag |y Zentralblatt MATH |3 Inhaltstext |
| 912 | |a ZDB-2-SCS | ||
| 912 | |a ZDB-2-LNC |b 1999 | ||
| 912 | |a ZDB-2-SCS |b 1999 | ||
| 912 | |a ZDB-2-SXCS |b 1999 | ||
| 912 | |a ZDB-2-BAE |b 1999 | ||
| 912 | |a ZDB-2-SEB |b 1999 | ||
| 936 | r | u | |a SS 4800 |b Lecture notes in computer science |k Lecture notes in computer science |0 (DE-627)1271461242 |0 (DE-625)rvk/143528: |0 (DE-576)201461242 |z Ungueltig |
| 936 | b | k | |a 54.72 |j Künstliche Intelligenz |q SEPA |0 (DE-627)10641240X |
| 951 | |a BO | ||
| 990 | |a Maschinelles Lernen | ||
| 992 | |a 20170222 | ||
| 999 | |a KXP-PPN1649364024 |e 3333198347 | ||
| BIB | |a Y | ||
| SPR | |a Y | ||
| JSO | |a {"relMultPart":[{"dispAlt":"Lecture notes in computer science","physDesc":[{"extent":"Online-Ressource"}],"id":{"issn":["1611-3349"],"zdb":["2018930-8"],"eki":["316228877"]},"origin":[{"dateIssuedDisp":"1973-","dateIssuedKey":"1973","publisher":"Springer","publisherPlace":"Berlin ; Heidelberg"}],"titleAlt":[{"title":"LNCS online"},{"title":"LNAI"},{"title":"Lecture notes in artificial intelligence"},{"title":"Lecture notes in bioinformatics"},{"title":"LNAI"},{"title":"LNBI"},{"title":"LNCS-LNAI"},{"title":"LNCS-LNBI"}],"part":{"number_sort":["1720"],"number":["1720"]},"pubHistory":["1.1973 -"],"recId":"316228877","language":["eng"],"type":{"bibl":"serial","media":"Online-Ressource"},"disp":"Lecture Notes in Computer Science, Lecture Notes in Artificial Intelligence","note":["Gesehen am 28.02.20","Das Gesamtwerk gliedert sich in: Lecture notes in artificial intelligence; Lecture notes in bioinformatics"],"title":[{"title_sort":"Lecture notes in computer science","title":"Lecture notes in computer science"}]}],"physDesc":[{"extent":"Online-Ressource"}],"type":{"bibl":"book","media":"Online-Ressource"},"language":["eng"],"recId":"1649364024","origin":[{"publisherPlace":"Berlin, Heidelberg","dateIssuedDisp":"1999","publisher":"Springer-Verlag Berlin Heidelberg","dateIssuedKey":"1999"}],"title":[{"subtitle":"10th International Conference, ALT’99 Tokyo, Japan, December 6–8, 1999 Proceedings","title":"Algorithmic Learning Theory","title_sort":"Algorithmic Learning Theory"}],"id":{"isbn":["9783540467694"],"eki":["1649364024"],"doi":["10.1007/3-540-46769-6"]},"person":[{"display":"Watanabe, Osamu","role":"aut","family":"Watanabe","given":"Osamu"},{"display":"Yokomori, Takashi","role":"oth","family":"Yokomori","given":"Takashi"}],"name":{"displayForm":["edited by Osamu Watanabe, Takashi Yokomori"]}} | ||
| SRT | |a WATANABEOSALGORITHMI1999 | ||