Abstract: Load balancing with stale information is becoming an increasingly important problem for distributed systems. And k-subset algorithm is promising to address this problem. In this paper, the ...

Abstract: Feature selection involves identifying a subset of the most useful features that produces compatible results as the original entire set of features. A feature selection algorithm may be ...

Given an array A of size n and an integer K, return all subsets of A which sum to K. Subsets are of length varying from 0 to n, that contain elements of the array. But the order of elements should ...

Data mining algorithms are extensively used to classify the data, in which prediction of disease using minimal computation time plays a vital role. In this paper we proposed four search algorithms for ...

ABSTRACT: This article is devoted to a time series prediction scheme involving the nonlinear autoregressive algorithm and its applications. The scheme is implemented by means of an artificial neural ...