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ESANN
2008
15 years 7 months ago
A Regularized Learning Method for Neural Networks Based on Sensitivity Analysis
The Sensitivity-Based Linear Learning Method (SBLLM) is a learning method for two-layer feedforward neural networks, based on sensitivity analysis, that calculates the weights by s...
Bertha Guijarro-Berdiñas, Oscar Fontenla-Ro...
TCOM
2010
97views more  TCOM 2010»
15 years 1 months ago
Linear Non-Regenerative Multicarrier MIMO Relay Communications Based on MMSE Criterion
In this letter we propose linear non-regenerative multicarrier multiple-input multiple-output (MIMO) relay technique that aims to minimize the mean-squared error (MSE) of the signa...
Yue Rong
JMLR
2002
137views more  JMLR 2002»
15 years 6 months ago
The Subspace Information Criterion for Infinite Dimensional Hypothesis Spaces
A central problem in learning is selection of an appropriate model. This is typically done by estimating the unknown generalization errors of a set of models to be selected from a...
Masashi Sugiyama, Klaus-Robert Müller
KBSE
2005
IEEE
15 years 12 months ago
Empirical evaluation of the tarantula automatic fault-localization technique
The high cost of locating faults in programs has motivated the development of techniques that assist in fault localization by automating part of the process of searching for fault...
James A. Jones, Mary Jean Harrold
ICIP
2008
IEEE
16 years 8 months ago
Local feature extraction for video copy detection in a database
In this paper a new content-based copy identification method for video sequences is presented. It is robust to a number of image transformations and particulary robust to compress...
Ehsan Maani, Sotirios A. Tsaftaris, Aggelos K. Kat...