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ICML
2008
IEEE
15 years 11 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...
95
Voted
ISLPED
1997
ACM
106views Hardware» more  ISLPED 1997»
15 years 1 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
82
Voted
ESANN
2003
14 years 11 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...
90
Voted
CSDA
2008
179views more  CSDA 2008»
14 years 10 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»
14 years 10 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