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Computer Science Department
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Computer Science Department
Abstract: We propose a novel deep network structure called In Network (NIN) to enhance model discriminability for local patches within the receptive field. The conventional con...
For a broad class of interference-dominated wireless systems including mobile, personal communications, and wireless PBX/LAN networks, the authors show that a significant increa...
MicroRNAs (miRNAs) are a class of small noncoding RNA genes recently found to be abnormally expressed in several types of cancer. Here, we describe a recently developed methodol...
Abstract Comparison of the performance and accuracy of different inference methods, such as maximum likelihood (ML) and Bayesian inference, is difficult because the inference me...
In this paper, we study the fundamental limits on the data rate of multiple antenna systems in a Rayleigh fading environment. With <tex xmlns:mml="http://www.w3.org/1998/Math/Ma...
This article focuses on memory-based choice situations where changes in a brand's accessibility may affect the probability that it is retrieved and considered for choice. In suc...
Abstract Empirical data sets of intraspecific restriction site polymorphism in Drosophila have been gathered in order to test hypotheses derived from coalescent theory. Three ma...
Programs for Bayesian inference of phylogeny currently implement a unique and fixed suite of models. Consequently, users of these software packages are simultaneously forced to u...
Despite the relevant role of models of nucleotide substitution in phylogenetics, choosing among different models remains a problem. Several statistical methods for selecting the...