Given a set of items of unknown utility, we need to select one with a utility as high as possible (“the selection problem”). Measurements (possibly noisy) of item values prior to selection are allowed, at a known cost. The goal is to optimize the overall sequential decision process of measurements and selection. Value of information (VOI) is a well-known scheme for selecting measurements, but t...

In this study, considering the importance of how to exploit renewable natural resources, we analyzea shing model with nonlinear harvesting function in which the players at the equilibrium pointdo a static game with complete information that, according to the calculations, will cause a wasteof energy for both players and so the selection of cooperative strategies along with the...

Using Metaheuristics models and Evolutionary Algorithms for solving portfolio problem has been considered in recent years.In this study, by using particles swarm optimization and tabu search algorithms we  optimized two-sided risk measures . A standard exact penalty function transforms the considered portfolio selection problem into an equivalent unconstrained minimization problem. And in final...

one of the conventional methods for temporary support of tunnels is to use steel sets with shotcrete. the nature of a temporary support system demands a quick installation of its structures. as a result, the spacing between steel sets is not a fixed amount and it can be considered as a random variable. hence, in the reliability analysis of these types of structures, the selection of an appropri...

the purpose of this ex-post facto research is study about relationship between executive function and cognitive distortion on delinquent juveniles and non-delinquent juveniles in tehran. statistical sample are 62 delinquent juveniles selected by purposeful selection from “the center of modification and training” and 82 people of non-delinquent juveniles selected by method of random sampling fro...

Recent advances in multimedia and image processing techniques can be utilized to assist pathologists in this respect. In fact, many investigators believe that automation of prostate cancer analysis increases the rate of early detection. In this paper, we will propose an automatic procedure for prostate cancer light micrograph based on soft-computing technique, for image interpretation, with inc...

For many applications, to reduce the processing time and the cost of decision making, we need to reduce the number of sensors, where each sensor produces a set of features. This sensor selection problem is a generalized feature selection problem. Here, we first present a sensor (group-feature) selection scheme based on Multi-Layered Perceptron Networks. This scheme sometimes selects redundant g...

The aim of this paper is to show the possible improvement of the reliability of classification of RBF networks using genetic algorithms for attribute selection. A disadvantage of RBF networks is that they cannot deal effectively with irrelevant features. Genetic search may filter features leading to reduce dimensionality of the feature space. In our experiments, genetic search improves classifi...

The number of comparisons required to select the i-th smallest of n numbers is shown to be at most a linear function of n by analysis of a new selection algorithm -PICK. Specifically, no more than 5.4305 n comparisons are ever required. This bound is improved for extreme values of i , and a new lower bound on the requisite number of comparisons is also proved. This work was supported by the Nat...

In this paper we present the system we submitted to the WMT12 shared task on Quality Estimation. Each translated sentence is given a score between 1 and 5. The score is obtained using several numerical or boolean features calculated according to the source and target sentences. We perform a linear regression of the feature space against scores in the range [1:5]. To this end, we use a Support V...