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» Numerical Recipes in C
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ML
2002
ACM
220views Machine Learning» more  ML 2002»
13 years 7 months ago
Bayesian Methods for Support Vector Machines: Evidence and Predictive Class Probabilities
I describe a framework for interpreting Support Vector Machines (SVMs) as maximum a posteriori (MAP) solutions to inference problems with Gaussian Process priors. This probabilisti...
Peter Sollich
NN
2002
Springer
122views Neural Networks» more  NN 2002»
13 years 7 months ago
Cellular, synaptic and network effects of neuromodulation
All network dynamics emerge from the complex interaction between the intrinsic membrane properties of network neurons and their synaptic connections. Nervous systems contain numer...
Eve Marder, Vatsala Thirumalai
TIT
1998
69views more  TIT 1998»
13 years 7 months ago
Relationships Between the Constant Modulus and Wiener Receivers
— The Godard or the constant modulus algorithm (CMA) is an effective technique for blind receiver design in communications. However, due to the complexity of the Constant Modulus...
Hanks H. Zeng, Lang Tong, C. Richard Johnson Jr.
TMM
2002
158views more  TMM 2002»
13 years 7 months ago
Foveated video quality assessment
Most image and video compression algorithms that have been proposed to improve picture quality relative to compression efficiency have either been designed based on objective crite...
Sanghoon Lee, Marios S. Pattichis, Alan C. Bovik
NAR
2007
260views more  NAR 2007»
13 years 7 months ago
WoLF PSORT: protein localization predictor
WoLF PSORT is an extension of the PSORT II program for protein subcellular location prediction. WoLF PSORT converts protein amino acid sequences into numerical localization featur...
Paul Horton, Keun-Joon Park, Takeshi Obayashi, Nao...