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CSB
2002
IEEE
169views Bioinformatics» more  CSB 2002»
14 years 24 days ago
Bayesian Network and Nonparametric Heteroscedastic Regression for Nonlinear Modeling of Genetic Network
We propose a new statistical method for constructing a genetic network from microarray gene expression data by using a Bayesian network. An essential point of Bayesian network con...
Seiya Imoto, SunYong Kim, Takao Goto, Sachiyo Abur...
WSC
2007
13 years 10 months ago
Visualization techniques utilizing the sensitivity analysis of models
Models of real world systems are being increasingly generated from data that describes the behaviour of systems. Data mining techniques, such as Artificial Neural Networks (ANN),...
Ivo Kondapaneni, Pavel Kordík, Pavel Slav&i...
NN
2000
Springer
177views Neural Networks» more  NN 2000»
13 years 7 months ago
Independent component analysis: algorithms and applications
A fundamental problem in neural network research, as well as in many other disciplines, is finding a suitable representation of multivariate data, i.e. random vectors. For reasons...
Aapo Hyvärinen, Erkki Oja
SPAA
1990
ACM
13 years 12 months ago
Parallel Algorithms for Arrangements
We give the first efficient parallel algorithms for solving the arrangement problem. We give a deterministic algorithm for the CREW PRAM which runs in nearly optimal bounds of O(lo...
Richard J. Anderson, Paul Beame, Erik Brisson
COMCOM
2007
82views more  COMCOM 2007»
13 years 7 months ago
On application-level load balancing in FastReplica
— In the paper, we consider the problem of distributing large-size content to a fixed set of nodes. In contrast with the most existing end-system solutions to this problem, Fast...
Jangwon Lee, Gustavo de Veciana