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Titlebook: Computational Learning Theory; 4th European Confere Paul Fischer,Hans Ulrich Simon Conference proceedings 1999 Springer-Verlag Berlin Heide

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樓主: BRISK
51#
發(fā)表于 2025-3-30 09:50:51 | 只看該作者
52#
發(fā)表于 2025-3-30 15:57:14 | 只看該作者
53#
發(fā)表于 2025-3-30 18:46:47 | 只看該作者
https://doi.org/10.1007/978-3-658-00686-0their images under primitive recursive operators. The following is shown: This notion of learnability does not change if the class of primitive recursive operators is replaced by a larger enumerable class of operators. A class is hyperrobustly Ex-learnable iff it is a subclass of a recursively enume
54#
發(fā)表于 2025-3-30 21:05:56 | 只看該作者
https://doi.org/10.1007/978-3-658-00686-0ind change complexity bounds for learnability of these classes both from positive facts and from positive and negative facts..Building on Angluin’s notion of finite thickness and Wright’s work on finite elasticity, Shinohara defined the property of bounded finite thickness to give a sufficient condi
55#
發(fā)表于 2025-3-31 01:40:20 | 只看該作者
,, — Anlagen zur Montage fl?chiger Bauteile,strictions. This allows the use of tools such as regularization from the theory of (supervised) risk minimization for unsupervised settings. Moreover, this setting is very closely related to both principal curves and the generative topographic map..We explore this connection in two ways: 1) we propo
56#
發(fā)表于 2025-3-31 07:25:12 | 只看該作者
57#
發(fā)表于 2025-3-31 09:15:55 | 只看該作者
https://doi.org/10.1007/978-3-642-96455-8ch are arbitrarily close to Yang’s minimax lower bounds, if the a posteriori probability function is in the classes used by Stone and others. The rates equal to the ones on the corresponding regression estimation problem. Thus for these classes classification is not easier than regression estimation
58#
發(fā)表于 2025-3-31 15:34:44 | 只看該作者
59#
發(fā)表于 2025-3-31 19:53:46 | 只看該作者
0302-9743 Overview: Includes supplementary material: 978-3-540-65701-9978-3-540-49097-5Series ISSN 0302-9743 Series E-ISSN 1611-3349
60#
發(fā)表于 2025-4-1 00:54:30 | 只看該作者
Modifikation der Modellstrukturey theoretical work on boosting including analyses of AdaBoost’s training error and generalization error, connections between boosting and game theory, methods of estimating probabilities using boosting, and extensions of AdaBoost for multiclass classification problems. We also briefly mention some empirical work.
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