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AI
2002
Springer
13 years 8 months ago
Learning Bayesian networks from data: An information-theory based approach
This paper provides algorithms that use an information-theoretic analysis to learn Bayesian network structures from data. Based on our three-phase learning framework, we develop e...
Jie Cheng, Russell Greiner, Jonathan Kelly, David ...
SCAI
2008
13 years 10 months ago
CBR for Advice Giving in a Data-Intensive Environment
Reusing past experiences by reasoning from past cases poses particular problems when the input to case retrieval comes from large amounts of online data. Volve has developed a syst...
Agnar Aamodt
BMCBI
2008
179views more  BMCBI 2008»
13 years 9 months ago
Improving the power for detecting overlapping genes from multiple DNA microarray-derived gene lists
Background: In DNA microarray gene expression profiling studies, a fundamental task is to extract statistically significant genes that meet certain research hypothesis. Currently,...
Xutao Deng, Jun Xu, Charles Wang
CONIELECOMP
2011
IEEE
13 years 11 days ago
FPGA design and implementation for vertex extraction of polygonal shapes
This work focuses on developing systems of blocks in SIMULINK and VHDL to reuse on design of applications involving the recognition of polygonal objects. Usage of this work reduce...
Jorge Martínez-Carballido, Jorge Guevara-Es...
AINA
2006
IEEE
14 years 2 months ago
Simulation Architecture for Data Processing Algorithms in Wireless Sensor Networks
Abstract— Wireless sensor networks, by providing an unprecedented way of interacting with the physical environment, have become a hot topic for research over the last few years. ...
Yann-Aël Le Borgne, Mehdi Moussaid, Gianluca ...