Feature selection is a critical step in the data preprocessing phase field of pattern recognition and machine learning. The core feature to analyze quantify relevance, irrelevance, redundancy between features class labels. While existing methods give multiple explanations for these relationships, they ignore multi-value bias class-independent dependent features. Therefore, method (Maximal indep...

In this paper, we analyze entry and exit decisions in a symmetric duopoly setting. The model is based on Dixit (1989), which is a standard model in this area. To incorporate competitive nature into the output price, we use an inverse demand function. We aim to present an equilibrium strategy of entry and exit decisions in a symmetric duopoly. To do so, we consider four states of two firms and p...

This paper describes how basic concepts from information theory can be used to analyze deception. We show how a general definition of deception can be mapped to a simple communication model known as a Z-channel, and we show that any deception has associated with it a closely related deception we call it’s symmetric complement. These ideas allow computation of a specific form of conditional entr...

In the recent papers [1, 2] the conventional uncertainty relation (UR) of Robertson [5] (which includes the Heisenberg and Schrödinger UR [4] as its particular cases) have been extended to all characteristic coefficients of the uncertainty matrix [2] and to the case of several states [1]. In this letter we present three remarks on these extended characteristic URs. The first remark refers to th...

Copyright: © 2016 INFORMS Abstract. We propose and analyze robust optimization models of an inventory management problem, where cumulative purchase, inventory, and shortage costs over n periods are minimized for correlated nonidentically distributed demand. We assume that the means and covariance matrix of stochastic demand are known; the distributions are not needed. We derive closed-form orde...

In this paper, an algorithm for hyper symmetric environment Simultaneous Localization And Mapping(SLAM) is developed based on the generalized Voronoi graph. The hyper symmetric environment is a challenging environment for the SLAM and the most difficult problem on this is a data association. To redeem this problem, we propose three techniques. The first one is a breadth first node navigation al...