Automatedreasoning or theorem proving essentially amounts to solving search problems. Despite significant progress in recent years theorem provers still have manyshortcomings. The...
— Industry is more and more interested in executing business functions that span multiple applications. This demands high-levels of interoperability and a more flexible and adapt...
Abstract. In this paper we present a Reinforcement Learning (RL) approach with the capability to train neural adaptive controllers for complex control problems without expensive on...
Equivariant Adaptive Separation via Independence (EASI) is one of the most successful algorithms for Blind Source Separation (BSS). However, the user has to choose nonlinearities,...
Samareh Samadi, Massoud Babaie-Zadeh, Christian Ju...
: This research proposes a new strategy where documents are encoded into string vectors and modified version of KNN to be adaptable to string vectors for text categorization. Tradi...