Many of the documents in large text collections are duplicates and versions of each other. In recent research, we developed new methods for finding such duplicates; however, as the...
Factored representations, model-based learning, and hierarchies are well-studied techniques for improving the learning efficiency of reinforcement-learning algorithms in large-sca...
Carlos Diuk, Alexander L. Strehl, Michael L. Littm...
The demand for an efficient fault tolerance system has led to the development of complex monitoring infrastructure, which in turn has created an overwhelming task of data and even...
Vision systems are increasingly being deployed to perform complex surveillance tasks. While improved algorithms are being developed to perform these tasks, it is also important tha...
Background: A transcriptional regulatory module (TRM) is a set of genes that is regulated by a common set of transcription factors (TFs). By organizing the genome into TRMs, a liv...