Abstract Surrogate maximization (or minimization) (SM) algorithms are a family of algorithms that can be regarded as a generalization of expectation-maximization (EM) algorithms. A...
This paper introduces a new method using dyadic decision trees for estimating a classification or a regression function in a multiclass classification problem. The estimator is bas...
Boolean circuits offer a natural, structured, and compact representation of Boolean functions for many application domains. In this paper a tableau method for solving satisfiabilit...
Abstract— In this paper we investigate the problem of designing an input signal for a Multi-Input Multi-Output plant to minimize a control-oriented criterion. By employing Ljungâ...
An integrated optimization model of production plan and scheduling is introduced. Function objective is to minimize sum of total setup cost (initial setup cost and related setup c...