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Paper #
NC
2007-01-25
16:30
Hokkaido
Noboribetsu Manseikaku(Noboribetsu)
A New Meta-Criterion for Regularized Subspace Information Criterion
Yasushi Hidaka
,
Masashi Sugiyama
(
Tokyo Inst. of Tech.
)
In order to gain better generalization performance in supervised learning, model parameters should be determined appropr...
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NC2006-96
pp.49-54
SN
(2nd)
2006-01-20
10:00
Tokyo
Tokyo Denki University Kanda Campus
Best Linear Unbiased Estimator (BLUE) Using Estimate of Observation Noise Variance in Wireless Sensor Networks
Takahiro Fujita
(
Tokyo University of Science
),
Tomoaki Ohtsuki
(
Keio Univ.
),
Toshinobu Kaneko
(
Tokyo University of Science
)
Best Linear Unbiased Estimator (BLUE) is one of the decentralized estimation method in sensor networks. When fusion cent...
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