Titlebook: Algorithmic Learning Theory; 26th International C Kamalika Chaudhuri,CLAUDIO GENTILE,Sandra Zilles Conference proceedings 2015 Springer Int

附錄

Der Ausschluss von Minderheitsaktion?renvestigated the learnability of linear sets and semilinear sets in three models – Valiant’s . model, Gold’s . model, and Angluin’s . model. This paper considers a . model of learning families of linear sets, whereby the learner is assumed to know all the smallest sets . of labelled examples that are

表狀態(tài)

https://doi.org/10.1007/978-3-8350-9248-8m of learning a DFA from given input data is a classic topic in computational learning theory. In this paper we study the learnability of a random DFA and propose a computationally efficient algorithm for learning and recovering a random DFA from uniform input strings and state information in the st

頭腦冷靜

除草劑

,Thesenf?rmige Zusammenfassung,n a learner with access to a history of independent samples labeled according to a target concept that can change on each round. One of our main contributions is a refinement of the best previous results for polynomial-time algorithms for the space of linear separators under a uniform distribution.

維持

Promotion

注意到

Unterhaltungs- und Betriebskosten,the error of a large margin classifier. Our results show that, under mild conditions on the family of kernels used for learning, solving several related tasks simultaneously is beneficial over single task learning. In particular, as the number of observed tasks grows, assuming that in the considered

構(gòu)成

nepotism

Lecture Notes in Computer Sciencehttp://image.papertrans.cn/a/image/152963.jpg

揭穿真相