Sciweavers

736 search results - page 12 / 148
» Generalization Error Estimation for Non-linear Learning Meth...
Sort
View
NECO
2007
129views more  NECO 2007»
13 years 8 months ago
Variational Bayes Solution of Linear Neural Networks and Its Generalization Performance
It is well-known that, in unidentifiable models, the Bayes estimation provides much better generalization performance than the maximum likelihood (ML) estimation. However, its ac...
Shinichi Nakajima, Sumio Watanabe
ML
2002
ACM
121views Machine Learning» more  ML 2002»
13 years 8 months ago
Choosing Multiple Parameters for Support Vector Machines
The problem of automatically tuning multiple parameters for pattern recognition Support Vector Machines (SVMs) is considered. This is done by minimizing some estimates of the gener...
Olivier Chapelle, Vladimir Vapnik, Olivier Bousque...
SSPR
1998
Springer
14 years 28 days ago
Modified Minimum Classification Error Learning and Its Application to Neural Networks
A novel method to improve the generalization performance of the Minimum Classification Error (MCE) / Generalized Probabilistic Descent (GPD) learning is proposed. The MCE/GPD learn...
Hiroshi Shimodaira, Jun Rokui, Mitsuru Nakai
ICC
2008
IEEE
125views Communications» more  ICC 2008»
14 years 3 months ago
Generalization of Channel Inversion Algorithms for Multiuser MIMO Downlink Systems
— Recently a number of transmission schemes have been introduced to achieve sum capacity for multiuser multiinput multi-output (MIMO) broadcast channels (BC). A block diagonaliza...
Hakjea Sung, Sang-Rim Lee, Inkyu Lee
IPSN
2003
Springer
14 years 1 months ago
Boundary Estimation in Sensor Networks: Theory and Methods
Sensor networks have emerged as a fundamentally new tool for monitoring spatially distributed phenomena. This paper investigates a strategy by which sensor nodes detect and estima...
Robert Nowak, Urbashi Mitra