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BMCBI
2004
169views more  BMCBI 2004»
15 years 6 months ago
A power law global error model for the identification of differentially expressed genes in microarray data
Background: High-density oligonucleotide microarray technology enables the discovery of genes that are transcriptionally modulated in different biological samples due to physiolog...
Norman Pavelka, Mattia Pelizzola, Caterina Vizzard...
CVPR
2010
IEEE
16 years 2 months ago
Estimating Optical Properties of Layered Surfaces Using the Spider Model
Many object surfaces are composed of layers of different physical substances, known as layered surfaces. These surfaces, such as patinas, water colors, and wall paintings, have mo...
Tetsuro Morimoto, Robby Tan, Rei Kawakami, Katsush...
HICSS
2003
IEEE
220views Biometrics» more  HICSS 2003»
16 years 4 days ago
Applications of Hidden Markov Models to Detecting Multi-Stage Network Attacks
This paper describes a novel approach using Hidden Markov Models (HMM) to detect complex Internet attacks. These attacks consist of several steps that may occur over an extended pe...
Dirk Ourston, Sara Matzner, William Stump, Bryan H...
IPPS
2003
IEEE
16 years 4 days ago
Applying Aspect-Orient Programming Concepts to a Component-Based Programming Model
Abstract— The execution environments For scientific applications have evolved significantly over the years. Vector and parallel architectures have provided significantly faste...
Thomas Eidson, Jack Dongarra, Victor Eijkhout
ACL
2006
15 years 8 months ago
Minimum Risk Annealing for Training Log-Linear Models
When training the parameters for a natural language system, one would prefer to minimize 1-best loss (error) on an evaluation set. Since the error surface for many natural languag...
David A. Smith, Jason Eisner