Fault Abstraction and Collapsing Framework for Asynchronous Circuits Philip P. Shirvani, Subhasish Mitra Center for Reliable Computing Stanford University Stanford, CA Jo C. Eberge...
Philip P. Shirvani, Subhasish Mitra, Jo C. Ebergen...
Most of the work on the Vapnik-Chervonenkis dimension of neural networks has been focused on feedforward networks. However, recurrent networks are also widely used in learning app...
The Vapnik-Chervonenkis (V-C) dimension is an important combinatorial tool in the analysis of learning problems in the PAC framework. For polynomial learnability, we seek upper bou...
This paper reports two experiments with implementations of constructions from theoretical computer science. The first one deals with Kleene’s and Rogers’ second recursion the...
Torben Amtoft Hansen, Thomas Nikolajsen, Jesper La...
Abstract. In this paper we study a new approach to classify mathematical theorems according to their computational content. Basically, we are asking the question which theorems can...