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NIPS
2003
15 years 1 months ago
Laplace Propagation
We present a novel method for approximate inference in Bayesian models and regularized risk functionals. It is based on the propagation of mean and variance derived from the Lapla...
Alexander J. Smola, Vishy Vishwanathan, Eleazar Es...
BMCBI
2005
190views more  BMCBI 2005»
14 years 11 months ago
An Entropy-based gene selection method for cancer classification using microarray data
Background: Accurate diagnosis of cancer subtypes remains a challenging problem. Building classifiers based on gene expression data is a promising approach; yet the selection of n...
Xiaoxing Liu, Arun Krishnan, Adrian Mondry
KDD
2009
ACM
191views Data Mining» more  KDD 2009»
16 years 11 days ago
Efficient methods for topic model inference on streaming document collections
Topic models provide a powerful tool for analyzing large text collections by representing high dimensional data in a low dimensional subspace. Fitting a topic model given a set of...
Limin Yao, David M. Mimno, Andrew McCallum
BMCBI
2010
98views more  BMCBI 2010»
14 years 12 months ago
An optimized TOPS+ comparison method for enhanced TOPS models
nd: Although methods based on highly abstract descriptions of protein structures, such as VAST and TOPS, can perform very fast protein structure comparison, the results can lack a...
Mallika Veeramalai, David Gilbert, Gabriel Valient...
ICPR
2010
IEEE
14 years 10 months ago
Estimating Apparent Motion on Satellite Acquisitions with a Physical Dynamic Model
The paper presents a motion estimation method based on data assimilation in a dynamic model, named Image Model, expressing the physical evolution of a quantity observed on the ima...
Etienne G. Huot, Isabelle Herlin, Nicolas Mercier,...