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» On the Error Parameter of Dispersers
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64
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ICCAD
1995
IEEE
167views Hardware» more  ICCAD 1995»
15 years 1 months ago
A novel methodology for statistical parameter extraction
IC manufacturing process variations are typically expressed in terms of joint probability density functions (jpdf’s) or as worst case combinations/corners of the device model pa...
Kannan Krishna, Stephen W. Director
NN
2002
Springer
224views Neural Networks» more  NN 2002»
14 years 9 months ago
Optimal design of regularization term and regularization parameter by subspace information criterion
The problem of designing the regularization term and regularization parameter for linear regression models is discussed. Previously, we derived an approximation to the generalizat...
Masashi Sugiyama, Hidemitsu Ogawa
IEICET
2007
114views more  IEICET 2007»
14 years 9 months ago
Analytic Optimization of Adaptive Ridge Parameters Based on Regularized Subspace Information Criterion
In order to obtain better learning results in supervised learning, it is important to choose model parameters appropriately. Model selection is usually carried out by preparing a ...
Shun Gokita, Masashi Sugiyama, Keisuke Sakurai
BROADBAND
1998
14 years 11 months ago
Multipath FEC scheme for the ATM adaptation layer AAL5
One approach to facilitate statistical multiplexing of bursty sources in ATM networks is dispersion of the traffic over independent paths. It has been shown within the literature ...
Georg Carle, Stefan Dresler, Jochen H. Schiller
73
Voted
TASLP
2002
84views more  TASLP 2002»
14 years 9 months ago
Substate tying with combined parameter training and reduction in tied-mixture HMM design
Two approaches are proposed for the design of tied-mixture hidden Markov models (TMHMM). One approach improves parameter sharing via partial tying of TMHMM states. To facilitate ty...
Liang Gu, Kenneth Rose