Gesture
发表于 2025-3-26 21:42:34
https://doi.org/10.1007/3-540-49097-3Algorithmic Learning; Computational Learning; Inductive Inference; Online Learning; learning; learning th
BUCK
发表于 2025-3-27 01:52:47
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AIL
发表于 2025-3-27 06:14:10
Theoretical Views of Boostingey 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.
引起痛苦
发表于 2025-3-27 09:35:05
Learning Multiplicity Automata from Smallest Counterexamples improves on an earlier result of Bergadano and Varricchio. A unique representation for MAs is introduced. Our algorithm learns this representation. We also show that any learning algorithm for MAs needs at least . smallest counterexamples. Thus our upper bound on the number of counterexamples cannot be improved substantially.
名次后缀
发表于 2025-3-27 15:36:01
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产生
发表于 2025-3-27 21:33:47
Lower Bounds on the Rate of Convergence of Nonparametric Pattern Recognitionch 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 either in individual sense.
largesse
发表于 2025-3-28 00:52:17
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值得尊敬
发表于 2025-3-28 02:21:08
Lecture Notes in Computer Sciencehttp://image.papertrans.cn/c/image/232577.jpg
明智的人
发表于 2025-3-28 06:49:53
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
季雨
发表于 2025-3-28 12:43:18
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