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» Modeling Signs Using Functional Data Analysis
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198
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NIPS
2001
15 years 8 months ago
Discriminative Direction for Kernel Classifiers
In many scientific and engineering applications, detecting and understanding differences between two groups of examples can be reduced to a classical problem of training a classif...
Polina Golland
BMCBI
2006
152views more  BMCBI 2006»
15 years 7 months ago
Predicting deleterious nsSNPs: an analysis of sequence and structural attributes
Background: There has been an explosion in the number of single nucleotide polymorphisms (SNPs) within public databases. In this study we focused on non-synonymous protein coding ...
Richard J. B. Dobson, Patricia B. Munroe, Mark J. ...
ICA
2004
Springer
16 years 25 days ago
Postnonlinear Overcomplete Blind Source Separation Using Sparse Sources
Abstract. We present an approach for blindly decomposing an observed random vector x into f(As) where f is a diagonal function i.e. f = f1 × . . . × fm with one-dimensional funct...
Fabian J. Theis, Shun-ichi Amari
178
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ANSS
2000
IEEE
15 years 12 months ago
Modeling and Analysis of Software Aging and Rejuvenation
Software systems are known to suffer from outages due to transient errors. Recently, the phenomenon of “software aging”, one in which the state of the software system degrades...
Kishor S. Trivedi, Kalyanaraman Vaidyanathan, Kate...
JMLR
2006
125views more  JMLR 2006»
15 years 7 months ago
A Linear Non-Gaussian Acyclic Model for Causal Discovery
In recent years, several methods have been proposed for the discovery of causal structure from non-experimental data. Such methods make various assumptions on the data generating ...
Shohei Shimizu, Patrik O. Hoyer, Aapo Hyvärin...