Partially observable Markov decision process (POMDP) is commonly used to model a stochastic environment with unobservable states for supporting optimal decision making. Computing ...
We present an original information theoretic measure of heart motion based on the Shannon's differential entropy (SDE), which allows heart wall motion abnormality detection. B...
Kumaradevan Punithakumar, Ismail Ben Ayed, Ian G. ...
Discovering groups of genes that share common expression profiles is an important problem in DNA microarray analysis. Unfortunately, standard bi-clustering algorithms often fail t...
The transition to multithreaded, multi-core designs places a greater responsibility on programmers and software for improving performance; thread-level parallelism (TLP) will be i...
Tipp Moseley, Daniel A. Connors, Dirk Grunwald, Ra...
This paper presents a novel approach for using clickthrough data to learn ranked retrieval functions for web search results. We observe that users searching the web often perform ...