This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
Reusing past experiences by reasoning from past cases poses particular problems when the input to case retrieval comes from large amounts of online data. Volve has developed a syst...
Background: In DNA microarray gene expression profiling studies, a fundamental task is to extract statistically significant genes that meet certain research hypothesis. Currently,...
This work focuses on developing systems of blocks in SIMULINK and VHDL to reuse on design of applications involving the recognition of polygonal objects. Usage of this work reduce...
Abstract— Wireless sensor networks, by providing an unprecedented way of interacting with the physical environment, have become a hot topic for research over the last few years. ...