We propose an omnivariate decision tree architecture which contains univariate, multivariate linear or nonlinear nodes, matching the complexity of the node to the complexity of the...
We introduce a new class of Reinforcement Learning algorithms designed to operate in perceptual spaces containing images. They work by classifying the percepts using a computer vi...
: Perusal of textual displays of document surrogates produced by Web-based ranked-output retrieval services may require much user time, effort, and money. In this paper we present ...
Background: Gene expression data frequently contain missing values, however, most downstream analyses for microarray experiments require complete data. In the literature many meth...
Guy N. Brock, John R. Shaffer, Richard E. Blakesle...
Abstract Medical data sets consist of a huge amount of data organized in instances, where each one contains several attributes. The quality of the models obtained from a database s...