Computational learning theory : 14th Annual Conference on Computational Learning Theory, COLT 2001 and 5th European Conference on Computational Learning Theory, EuroCOLT 2001, Amsterdam, The Netherlands, July 16 19, 2001 : proceedings
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| Körperschaften: | , |
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| Weitere Verfasser: | , |
| Format: | Livre numérique |
| Sprache: | Anglais |
| Veröffentlicht: |
Berlin [etc.] :
Springer
[20..].
Cham : Springer Nature |
| Schriftenreihe: | Lecture notes in computer science. Lecture notes in artificial intelligence
2111 |
| Schlagworte: | |
| Online Zugang: | Accès sur la plateforme de l'éditeur Accès sur la plateforme Istex Accès Université d'Orléans Accès INSA CVL |
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Archives Springer e-books (Licence nationale) Archives Springer e-books (Licence nationale) |
| Autres localisations: | Voir dans le Sudoc |
| Edition sous un autre format: | • Computational learning theory, 14th Annual Conference on Computational Learning Theory, COLT 2001 and 5th European Conference on Computational Learning Theory, EuroCOLT 2001, Amsterdam, The Netherlands, July 16-19, 2001, proceedings, David Helmbold, Bob Williamson (Eds.), 2001, Berlin, Springer, 1 vol. (IX-629 p.), Lecture notes in computer science, 3-540-42343-5 • Computational Learning Theory, Texte imprimé, 9783662214053 |
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| 009 | PPN155166751 | ||
| 020 | |a 9783540445814 (PDF) | ||
| 041 | 0 | |a eng | |
| 082 | |a 004 | ||
| 111 | 2 | |a Annual conference on computational learning theory |n (14 |d :2001 |c :Amsterdam). | |
| 245 | 1 | 0 | |a Computational learning theory : |b 14th Annual Conference on Computational Learning Theory, COLT 2001 and 5th European Conference on Computational Learning Theory, EuroCOLT 2001, Amsterdam, The Netherlands, July 16 19, 2001 : proceedings |c [edited by] David Helmbold, Bob Williamson. |
| 260 | |a Berlin [etc.] : |b Springer. | ||
| 260 | |a Cham : |b Springer Nature, |c [20..]. | ||
| 490 | 0 | |a Lecture notes in computer science. Lecture notes in artificial intelligence |v 2111 |x 1611-3349 |x 2945-9141 | |
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 500 | |a Archives Springer e-books (Licence nationale) | ||
| 505 | 0 | |a How Many Queries Are Needed to Learn One Bit of Information? -- Radial Basis Function Neural Networks Have Superlinear VC Dimension -- Tracking a Small Set of Experts by Mixing Past Posteriors -- Potential-Based Algorithms in Online Prediction and Game Theory -- A Sequential Approximation Bound for Some Sample-Dependent Convex Optimization Problems with Applications in Learning -- Efficiently Approximating Weighted Sums with Exponentially Many Terms -- Ultraconservative Online Algorithms for Multiclass Problems -- Estimating a Boolean Perceptron from Its Average Satisfying Assignment: A Bound on the Precision Required -- Adaptive Strategies and Regret Minimization in Arbitrarily Varying Markov Environments -- Robust Learning Rich and Poor -- On the Synthesis of Strategies Identifying Recursive Functions -- Intrinsic Complexity of Learning Geometrical Concepts from Positive Data -- Toward a Computational Theory of Data Acquisition and Truthing -- Discrete Prediction Games with Arbitrary Feedback and Loss (Extended Abstract) -- Rademacher and Gaussian Complexities: Risk Bounds and Structural Results -- Further Explanation of the Effectiveness of Voting Methods: The Game between Margins and Weights -- Geometric Methods in the Analysis of Glivenko-Cantelli Classes -- Learning Relatively Small Classes -- On Agnostic Learning with {0, *, 1}-Valued and Real-Valued Hypotheses -- When Can Two Unsupervised Learners Achieve PAC Separation? -- Strong Entropy Concentration, Game Theory, and Algorithmic Randomness -- Pattern Recognition and Density Estimation under the General i.i.d. Assumption -- A General Dimension for Exact Learning -- Data-Dependent Margin-Based Generalization Bounds for Classification -- Limitations of Learning via Embeddings in Euclidean Half-Spaces -- Estimating the OptimalMargins of Embeddings in Euclidean Half Spaces -- A Generalized Representer Theorem -- A Leave-One-out Cross Validation Bound for Kernel Methods with Applications in Learning -- Learning Additive Models Online with Fast Evaluating Kernels -- Geometric Bounds for Generalization in Boosting -- Smooth Boosting and Learning with Malicious Noise -- On Boosting with Optimal Poly-Bounded Distributions -- Agnostic Boosting -- A Theoretical Analysis of Query Selection for Collaborative Filtering -- On Using Extended Statistical Queries to Avoid Membership Queries -- Learning Monotone DNF from a Teacher That Almost Does Not Answer Membership Queries -- On Learning Monotone DNF under Product Distributions -- Learning Regular Sets with an Incomplete Membership Oracle -- Learning Rates for Q-Learning -- Optimizing Average Reward Using Discounted Rewards -- Bounds on Sample Size for Policy Evaluation in Markov Environments. | |
| 506 | |a Accès en ligne pour les établissements français bénéficiaires des licences nationales | ||
| 506 | |a Accès soumis à abonnement pour tout autre établissement | ||
| 506 | |a Conditions particulières de réutilisation pour les bénéficiaires des licences nationales. https://www.licencesnationales.fr/springer-nature-ebooks-contrat-licence-ln-2017 | ||
| 650 | |a Informatique | ||
| 650 | |a Apprentissage automatique | ||
| 650 | |a Algorithmes | ||
| 650 | |a Intelligence artificielle | ||
| 650 | |a Acquisition des connaissances (systèmes experts) | ||
| 650 | |a Logique symbolique et mathématique | ||
| 650 | |a Actes de congrès | ||
| 700 | 1 | |a Helmbold, David, |d 1959- |4 pbd | |
| 700 | 1 | |a Williamson, Bob, |d 1962- |4 pbd | |
| 711 | 2 | |a European conference on computational learning theory |n (05 |d :2001 |c :Amsterdam). |4 aut | |
| 776 | 0 | |0 058096744 |t Computational learning theory |o 14th Annual Conference on Computational Learning Theory, COLT 2001 and 5th European Conference on Computational Learning Theory, EuroCOLT 2001, Amsterdam, The Netherlands, July 16-19, 2001 |o proceedings |f David Helmbold, Bob Williamson (Eds.) |d 2001 |c Berlin |n Springer |p 1 vol. (IX-629 p.) |s Lecture notes in computer science |z 3-540-42343-5 | |
| 776 | 0 | |t Computational Learning Theory |b Texte imprimé |z 9783662214053 | |
| 856 | 4 | |q PDF |u https://doi.org/10.1007/3-540-44581-1 |z Accès sur la plateforme de l'éditeur | |
| 856 | 4 | |u https://revue-sommaire.istex.fr/ark:/67375/8Q1-SLNQGX1C-K |z Accès sur la plateforme Istex | |
| 856 | 4 | |5 452349901:748062971 |u https://ezproxy.univ-orleans.fr/login?url=https://doi.org/10.1007/3-540-44581-1 |z Accès Université d'Orléans | |
| 856 | 4 | |5 180339901:751514616 |u https://ezproxy.insa-cvl.fr/login?qurl=https://doi.org/10.1007/3-540-44581-1 |z Accès INSA CVL | |
| 997 | |0 948484 |1 Livre numérique |a Ressource numérique |b INSA |b ENSA |c 0/Bibliothèque numérique/ |c 1/Bibliothèque numérique/Autre ressource numérique/ | ||