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JMLR
2006
389views more  JMLR 2006»
13 years 11 months ago
A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis
This paper introduces a learning method for two-layer feedforward neural networks based on sensitivity analysis, which uses a linear training algorithm for each of the two layers....
Enrique Castillo, Bertha Guijarro-Berdiñas,...
TSP
2010
13 years 5 months ago
MIMO transceivers with decision feedback and bit loading: theory and optimization
This paper considers MIMO transceivers with linear precoders and decision feedback equalizers (DFEs), with bit allocation at the transmitter. Zero-forcing (ZF) is assumed. Consider...
Ching-Chih Weng, Chun-Yang Chen, P. P. Vaidyanatha...
ATAL
2010
Springer
14 years 9 days ago
A logic-based representation for coalitional games with externalities
We consider the issue of representing coalitional games in multiagent systems that exhibit externalities from coalition formation, i.e., systems in which the gain from forming a c...
Tomasz P. Michalak, Dorota Marciniak, Marcin Szamo...
MM
2004
ACM
248views Multimedia» more  MM 2004»
14 years 4 months ago
Incremental semi-supervised subspace learning for image retrieval
Subspace learning techniques are widespread in pattern recognition research. They include Principal Component Analysis (PCA), Locality Preserving Projection (LPP), etc. These tech...
Xiaofei He
EUROCRYPT
2010
Springer
14 years 4 months ago
Converting Pairing-Based Cryptosystems from Composite-Order Groups to Prime-Order Groups
We develop an abstract framework that encompasses the key properties of bilinear groups of composite order that are required to construct secure pairing-based cryptosystems, and we...
David Mandell Freeman