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» Constant Rate Approximate Maximum Margin Algorithms
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TNN
2010
234views Management» more  TNN 2010»
13 years 2 months ago
Novel maximum-margin training algorithms for supervised neural networks
This paper proposes three novel training methods, two of them based on the back-propagation approach and a third one based on information theory for Multilayer Perceptron (MLP) bin...
Oswaldo Ludwig, Urbano Nunes
JACM
2000
131views more  JACM 2000»
13 years 7 months ago
The soft heap: an approximate priority queue with optimal error rate
A simple variant of a priority queue, called a soft heap, is introduced. The data structure supports the usual operations: insert, delete, meld, and findmin. Its novelty is to beat...
Bernard Chazelle
WWW
2008
ACM
14 years 8 months ago
A combinatorial allocation mechanism with penalties for banner advertising
Most current banner advertising is sold through negotiation thereby incurring large transaction costs and possibly suboptimal allocations. We propose a new automated system for se...
Uriel Feige, Nicole Immorlica, Vahab S. Mirrokni, ...
INFOCOM
2009
IEEE
14 years 2 months ago
Minimum Maximum Degree Publish-Subscribe Overlay Network Design
—Designing an overlay network for publish/subscribe communication in a system where nodes may subscribe to many different topics of interest is of fundamental importance. For sca...
Melih Onus, Andréa W. Richa
CORR
2006
Springer
102views Education» more  CORR 2006»
13 years 7 months ago
Approximate Linear Time ML Decoding on Tail-Biting Trellises in Two Rounds
A linear time approximate maximum likelihood decoding algorithm on tail-biting trellises is presented, that requires exactly two rounds on the trellis. This is an adaptation of an ...
K. Murali Krishnan, Priti Shankar