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» Theory and Use of the EM Algorithm
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NIPS
2007
15 years 6 months ago
Neural characterization in partially observed populations of spiking neurons
Point process encoding models provide powerful statistical methods for understanding the responses of neurons to sensory stimuli. Although these models have been successfully appl...
Jonathan Pillow, Peter E. Latham
UAI
2008
15 years 6 months ago
CT-NOR: Representing and Reasoning About Events in Continuous Time
We present a generative model for representing and reasoning about the relationships among events in continuous time. We apply the model to the domain of networked and distributed...
Aleksandr Simma, Moisés Goldszmidt, John Ma...
111
Voted
CMPB
2007
83views more  CMPB 2007»
15 years 4 months ago
A SAS macro for parametric and semiparametric mixture cure models
: Cure models have been developed to analyze failure time data with a cured fraction. For such data, standard survival models are usually not appropriate because they do not accoun...
Fabien Corbière, Pierre Joly
ICASSP
2009
IEEE
15 years 2 months ago
Probabilistic matrix tri-factorization
Nonnegative matrix tri-factorization (NMTF) is a 3-factor decomposition of a nonnegative data matrix, X USV , where factor matrices, U, S, and V , are restricted to be nonnegativ...
Jiho Yoo, Seungjin Choi
SAT
2004
Springer
106views Hardware» more  SAT 2004»
15 years 10 months ago
Local Search with Bootstrapping
We propose and study a technique to improve the performance of those local-search SAT solvers that proceed by executing a prespecified number of tries, each starting with an eleme...
Lengning Liu, Miroslaw Truszczynski