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» Linear Modeling of Genetic Networks from Experimental Data
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JAIR
2006
110views more  JAIR 2006»
14 years 10 months ago
Domain Adaptation for Statistical Classifiers
The most basic assumption used in statistical learning theory is that training data and test data are drawn from the same underlying distribution. Unfortunately, in many applicati...
Hal Daumé III, Daniel Marcu
LPNMR
2009
Springer
15 years 4 months ago
Application of ASP for Automatic Synthesis of Flexible Multiprocessor Systems from Parallel Programs
Configurable on chip multiprocessor systems combine advantages of task-level parallelism and the flexibility of field-programmable devices to customize architectures for paralle...
Harold Ishebabi, Philipp Mahr, Christophe Bobda, M...
BMCBI
2007
154views more  BMCBI 2007»
14 years 10 months ago
Inferring biological networks with output kernel trees
Background: Elucidating biological networks between proteins appears nowadays as one of the most important challenges in systems biology. Computational approaches to this problem ...
Pierre Geurts, Nizar Touleimat, Marie Dutreix, Flo...
IJIT
2004
14 years 11 months ago
Modeling of Pulping of Sugar Maple Using Advanced Neural Network Learning
This paper reports work done to improve the modeling of complex processes when only small experimental data sets are available. Neural networks are used to capture the nonlinear un...
W. D. Wan Rosli, Z. Zainuddin, R. Lanouette, S. Sa...
MIDDLEWARE
2004
Springer
15 years 3 months ago
Meghdoot: Content-Based Publish/Subscribe over P2P Networks
Publish/Subscribe systems have become a prevalent model for delivering data from producers (publishers) to consumers (subscribers) distributed across wide-area networks while decou...
Abhishek Gupta, Ozgur D. Sahin, Divyakant Agrawal,...