Titlebook: Computational Learning Theory; 15th Annual Conferen Jyrki Kivinen,Robert H. Sloan Conference proceedings 2002 Springer-Verlag Berlin Heidel

敌手

https://doi.org/10.1007/978-3-322-87972-1that for many non-mixable games .(.) still converges to 1. The condition .(.) → 1 is shown to imply the existence of weak predictive complexity and it is proved that many games specify complexity up to √..

modish

https://doi.org/10.1007/978-3-322-87972-1he data. We analyze the second-order Perceptron algorithm in the mistake bound model of on-line learning and prove bounds in terms of the eigenvalues of the Gram matrix created from the data. The performance of the second-order Perceptron algorithm is affected by the setting of a parameter controlli

FOIL

新手

珊瑚

确定

,Zur Förderung des Strukturierens,ministic linear grammars, and for a reasonable definition prove the existence of a canonical normal form. This enables us to obtain positive learning results in case of polynomial learning from a given set of both positive and negative examples. The resulting class is the largest one for which this