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KDD
2002
ACM
171views Data Mining» more  KDD 2002»
16 years 6 months ago
Mining complex models from arbitrarily large databases in constant time
In this paper we propose a scaling-up method that is applicable to essentially any induction algorithm based on discrete search. The result of applying the method to an algorithm ...
Geoff Hulten, Pedro Domingos
DSN
2006
IEEE
16 years 7 days ago
BlueGene/L Failure Analysis and Prediction Models
The growing computational and storage needs of several scientific applications mandate the deployment of extreme-scale parallel machines, such as IBM’s BlueGene/L which can acc...
Yinglung Liang, Yanyong Zhang, Anand Sivasubramani...
CIARP
2009
Springer
16 years 23 days ago
Analysis of the GRNs Inference by Using Tsallis Entropy and a Feature Selection Approach
Abstract. An important problem in the bioinformatics field is to understand how genes are regulated and interact through gene networks. This knowledge can be helpful for many appl...
Fabrício Martins Lopes, Evaldo A. de Olivei...
UAI
2001
15 years 7 months ago
Expectation Propagation for approximate Bayesian inference
This paper presents a new deterministic approximation technique in Bayesian networks. This method, "Expectation Propagation," unifies two previous techniques: assumed-de...
Thomas P. Minka
CSB
2005
IEEE
130views Bioinformatics» more  CSB 2005»
15 years 11 months ago
iSimBioSys: An "In Silico" Discrete Event Simulation Framework for Modeling Biological Systems
The genome projects have provided comprehensive information about the basic building blocks of life. The next challenge is to understand how biological functions emerge from compl...
Samik Ghosh, Preetam Ghosh, Kalyan Basu, Sajal K. ...