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NN
2000
Springer
192views Neural Networks» more  NN 2000»
13 years 8 months ago
A new algorithm for learning in piecewise-linear neural networks
Piecewise-linear (PWL) neural networks are widely known for their amenability to digital implementation. This paper presents a new algorithm for learning in PWL networks consistin...
Emad Gad, Amir F. Atiya, Samir I. Shaheen, Ayman E...
TCOM
2010
167views more  TCOM 2010»
13 years 7 months ago
On distributed scheduling in wireless networks exploiting broadcast and network coding
—In this paper, we consider cross-layer optimization in wireless networks with wireless broadcast advantage, focusing on the problem of distributed scheduling of broadcast links....
Tao Cui, Lijun Chen, Tracey Ho
STOC
2007
ACM
117views Algorithms» more  STOC 2007»
14 years 9 months ago
A combinatorial, primal-dual approach to semidefinite programs
Semidefinite programs (SDP) have been used in many recent approximation algorithms. We develop a general primal-dual approach to solve SDPs using a generalization of the well-know...
Sanjeev Arora, Satyen Kale
KDD
2004
ACM
173views Data Mining» more  KDD 2004»
14 years 9 months ago
A microeconomic data mining problem: customer-oriented catalog segmentation
The microeconomic framework for data mining [7] assumes that an enterprise chooses a decision maximizing the overall utility over all customers where the contribution of a custome...
Martin Ester, Rong Ge, Wen Jin, Zengjian Hu
TMC
2010
196views more  TMC 2010»
13 years 7 months ago
Joint Routing, Channel Assignment, and Scheduling for Throughput Maximization in General Interference Models
—Throughput optimization in wireless networks with multiple channels and multiple radio interfaces per node is a challenging problem. For general traffic models (given a set of ...
Mahmoud Al-Ayyoub, Himanshu Gupta