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ICML
2008
IEEE
16 years 7 months ago
The asymptotics of semi-supervised learning in discriminative probabilistic models
Semi-supervised learning aims at taking advantage of unlabeled data to improve the efficiency of supervised learning procedures. For discriminative models however, this is a chall...
François Yvon, Nataliya Sokolovska, Olivier...
ISLPED
1997
ACM
106views Hardware» more  ISLPED 1997»
15 years 10 months ago
A sequential procedure for average power analysis of sequential circuits
A new statistical technique for average power estimation in sequential circuits is presented. Due to the feedback mechanism, conventional statistical procedures cannot be applied ...
Li-Pen Yuan, Sung-Mo Kang
ESANN
2003
15 years 7 months ago
Fast approximation of the bootstrap for model selection
The bootstrap resampling method may be efficiently used to estimate the generalization error of a family of nonlinear regression models, as artificial neural networks. The main dif...
Geoffroy Simon, Amaury Lendasse, Vincent Wertz, Mi...
CSDA
2008
179views more  CSDA 2008»
15 years 6 months ago
A note on adaptive group lasso
Group lasso is a natural extension of lasso and selects variables in a grouped manner. However, group lasso suffers from estimation inefficiency and selection inconsistency. To re...
Hansheng Wang, Chenlei Leng
JCIT
2007
62views more  JCIT 2007»
15 years 6 months ago
Identification of Economic Cluster with Information Gain Method, based on Input-Output Tables
In this paper, we propose a more flexible “economic cluster identification” approach to analyzing the domestic I/O flows of intermediary goods and service that is based on inf...
Bae Sangbin, Moon Kyungil