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NIPS
1997
15 years 8 months ago
Learning Generative Models with the Up-Propagation Algorithm
Up-propagation is an algorithm for inverting and learning neural network generative models. Sensory input is processed by inverting a model that generates patterns from hidden var...
Jong-Hoon Oh, H. Sebastian Seung
TRECVID
2007
15 years 7 months ago
The Lowlands team at TRECVID 2007
Type Run Description MAP Official A UTen English ASR 0.0031 A UTt hs-t2-nm Top-2 concepts from t hs graph method with neighbor multiply 0.0137 A UTwiki-t2-nm Top-2 Wikipedia conc...
Robin Aly, Claudia Hauff, Willemijn Heeren, Djoerd...
BMCBI
2010
165views more  BMCBI 2010»
15 years 6 months ago
Bayesian integrated modeling of expression data: a case study on RhoG
Background: DNA microarrays provide an efficient method for measuring activity of genes in parallel and even covering all the known transcripts of an organism on a single array. T...
Rashi Gupta, Dario Greco, Petri Auvinen, Elja Arja...
BMCBI
2010
105views more  BMCBI 2010»
15 years 6 months ago
Evaluation of fecal mRNA reproducibility via a marginal transformed mixture modeling approach
Background: Developing and evaluating new technology that enables researchers to recover gene-expression levels of colonic cells from fecal samples could be key to a non-invasive ...
Nysia I. George, Joanne R. Lupton, Nancy D. Turner...
BMCBI
2010
100views more  BMCBI 2010»
15 years 6 months ago
Using genomic signatures for HIV-1 sub-typing
Background: Human Immunodeficiency Virus type 1 (HIV-1), the causative agent of Acquired Immune Deficiency Syndrome (AIDS), exhibits very high genetic diversity with different var...
Aridaman Pandit, Somdatta Sinha
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