With large data sets, it can be time consuming to run gradient based optimization, for example to minimize the log-likelihood for maximum entropy models. Distributed methods are therefore appealing and a number of distributed gradient optimization strategies have been proposed including: distributed gradient, asynchronous updates, and iterative parameter mixtures. In this paper, we evaluate the...

A large number of problems in AI and other areas of computer science can be viewed as special cases of the constraint satisfaction problem (CSP). Various distributed and parallel computing approaches have been used to solve these problems. Mainly, these approaches can be classiied as variable-based, domain-based, and function-based distributed problem solving strategies. In this paper, some heu...

Background and Aim: The primary purpose of this study was to investigate the relationships between reward sensitivity and punishment sensitivity and positive emotion regulation strategies and negative emotion regulation strategies among students. Materials and methods: 189 students studying at one of Tehran Universities were selected by accessible random sampling method, and then Emotion Regul...

The process of globalization and rapid technological developments are causing rapid changes in markets. Successfully in challenging markets of the future requires an informed and ready to respond quickly. The aim of this study is to evaluate and prioritize the organizational strategies of sales and distribution of Kalleh Company in Gilan. In order to analyze the strengths, weaknesses, opportuni...