The weighted majority algorithm
暂无分享,去创建一个
[1] Esther Levin,et al. A statistical approach to learning and generalization in layered neural networks , 1989, Proc. IEEE.
[2] Manfred K. Warmuth,et al. The weighted majority algorithm , 1989, 30th Annual Symposium on Foundations of Computer Science.
[3] Manfred K. Warmuth,et al. Learning Nested Differences of Intersection-Closed Concept Classes , 1989, COLT '89.
[4] Vladimir Vovk,et al. Aggregating strategies , 1990, COLT '90.
[5] Wolfgang Maass,et al. On-line learning with an oblivious environment and the power of randomization , 1991, COLT '91.
[6] Alfredo De Santis,et al. Learning probabilistic prediction functions , 1988, [Proceedings 1988] 29th Annual Symposium on Foundations of Computer Science.
[7] N. Littlestone. Learning Quickly When Irrelevant Attributes Abound: A New Linear-Threshold Algorithm , 1987, 28th Annual Symposium on Foundations of Computer Science (sfcs 1987).
[8] Nick Littlestone,et al. From on-line to batch learning , 1989, COLT '89.
[9] Vladimir Vapnik,et al. Chervonenkis: On the uniform convergence of relative frequencies of events to their probabilities , 1971 .
[10] Thomas G. Dietterich. What is machine learning? , 2020, Archives of Disease in Childhood.
[11] N. Littlestone. Mistake bounds and logarithmic linear-threshold learning algorithms , 1990 .
[12] Carl H. Smith,et al. Probability and Plurality for Aggregations of Learning Machines , 1987, Inf. Comput..
[13] Leonard Pitt,et al. Probabilistic inductive inference , 1989, JACM.
[14] David Haussler,et al. Learnability and the Vapnik-Chervonenkis dimension , 1989, JACM.
[15] David Haussler,et al. Calculation of the learning curve of Bayes optimal classification algorithm for learning a perceptron with noise , 1991, COLT '91.