This study develops a novel model, GA-SVR, for parameters optimization in support vector regression and implements this new model in a problem forecasting maximum electrical daily...
In many classification tasks training data have missing feature values that can be acquired at a cost. For building accurate predictive models, acquiring all missing values is of...
Prem Melville, Foster J. Provost, Raymond J. Moone...
A generic stochastic model with only two input parameters is introduced to evaluate the message delay in mobile ad hoc networks (MANETs) where nodes may relay messages. The Laplac...
In this paper, we describe an exploratory study to develop a model of visual attention that could aid automatic interpretation of exophors in situated dialog. The model is intended...
Donna K. Byron, Thomas Mampilly, Vinay Sharma, Tia...
Abstract— We introduce a dynamic battery model that describes the variations of the capacity of a battery under time varying discharge current. This model is input-output equival...