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» Linear Modeling of Genetic Networks from Experimental Data
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ICCV
1999
IEEE
15 years 11 months ago
A Dynamic Bayesian Network Approach to Figure Tracking using Learned Dynamic Models
The human figure exhibits complex and rich dynamic behavior that is both nonlinear and time-varying. However, most work on tracking and synthesizing figure motion has employed eit...
Vladimir Pavlovic, James M. Rehg, Tat-Jen Cham, Ke...
DSOM
2000
Springer
15 years 2 months ago
Operational Data Analysis: Improved Predictions Using Multi-computer Pattern Detection
Operational Data Analysis (ODA) automatically 1) monitors the performance of a computer through time, 2) stores such information in a data repository, 3) applies data-mining techn...
Ricardo Vilalta, Chidanand Apté, Sholom M. ...
ICCAD
2004
IEEE
101views Hardware» more  ICCAD 2004»
15 years 6 months ago
Frugal linear network-based test decompression for drastic test cost reductions
— In this paper we investigate an effective approach to construct a linear decompression network in the multiple scan chain architecture. A minimal pin architecture, complemented...
Wenjing Rao, Alex Orailoglu, G. Su
BMCBI
2010
143views more  BMCBI 2010»
14 years 10 months ago
Learning gene regulatory networks from only positive and unlabeled data
Background: Recently, supervised learning methods have been exploited to reconstruct gene regulatory networks from gene expression data. The reconstruction of a network is modeled...
Luigi Cerulo, Charles Elkan, Michele Ceccarelli
GECCO
2010
Springer
191views Optimization» more  GECCO 2010»
15 years 2 months ago
Initialization parameter sweep in ATHENA: optimizing neural networks for detecting gene-gene interactions in the presence of sma
Recent advances in genotyping technology have led to the generation of an enormous quantity of genetic data. Traditional methods of statistical analysis have proved insufficient i...
Emily Rose Holzinger, Carrie C. Buchanan, Scott M....