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» Distributed Optimization in Adaptive Networks
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JMLR
2012
13 years 6 months ago
Online Incremental Feature Learning with Denoising Autoencoders
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
Guanyu Zhou, Kihyuk Sohn, Honglak Lee
COLT
1995
Springer
15 years 7 months ago
Regression NSS: An Alternative to Cross Validation
The Noise Sensitivity Signature (NSS), originally introduced by Grossman and Lapedes (1993), was proposed as an alternative to cross validation for selecting network complexity. I...
Michael P. Perrone, Brian S. Blais
MST
2006
136views more  MST 2006»
15 years 3 months ago
Simple Efficient Load-Balancing Algorithms for Peer-to-Peer Systems
Load balancing is a critical issue for the efficient operation of peerto-peer networks. We give two new load-balancing protocols whose provable performance guarantees are within a...
David R. Karger, Matthias Ruhl
DCC
2009
IEEE
16 years 4 months ago
The Posterior Matching Feedback Scheme for Joint Source-Channel Coding with Bandwidth Expansion
When transmitting a Gaussian source over an AWGN channel with an input power constraint and a quadratic distortion measure, it is well known that optimal performance can be obtain...
Ofer Shayevitz, Meir Feder
CEC
2009
IEEE
15 years 10 months ago
Differential Evolution with Laplace mutation operator
— Differential Evolution (DE) is a novel evolutionary approach capable of handling non-differentiable, non-linear and multi-modal objective functions. DE has been consistently ra...
Millie Pant, Radha Thangaraj, Ajith Abraham, Crina...