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» Missing Data Estimation Using Polynomial Kernels
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108
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AMAI
2004
Springer
15 years 6 months ago
Using the Central Limit Theorem for Belief Network Learning
Learning the parameters (conditional and marginal probabilities) from a data set is a common method of building a belief network. Consider the situation where we have known graph s...
Ian Davidson, Minoo Aminian
134
Voted
TIP
2002
179views more  TIP 2002»
15 years 4 days ago
Unsupervised image classification, segmentation, and enhancement using ICA mixture models
An unsupervised classification algorithm is derived by modeling observed data as a mixture of several mutually exclusive classes that are each described by linear combinations of i...
Te-Won Lee, Michael S. Lewicki
96
Voted
WWW
2008
ACM
16 years 1 months ago
Acquisition of Vernacular Place Names from Web Sources
Vernacular place names are names that are commonly in use to refer to geographical places. For purposes of effective information retrieval, the spatial extent associated with these...
Florian A. Twaroch, Christopher B. Jones, Alia I. ...
107
Voted
MICRO
2008
IEEE
138views Hardware» more  MICRO 2008»
15 years 7 months ago
Hybrid analytical modeling of pending cache hits, data prefetching, and MSHRs
As the number of transistors integrated on a chip continues to increase, a growing challenge is accurately modeling performance in the early stages of processor design. Analytical...
Xi E. Chen, Tor M. Aamodt
115
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BMCBI
2006
125views more  BMCBI 2006»
15 years 17 days ago
Evaluating different methods of microarray data normalization
Background: With the development of DNA hybridization microarray technologies, nowadays it is possible to simultaneously assess the expression levels of thousands to tens of thous...
André Fujita, João Ricardo Sato, Leo...