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JMLR
2006
389views more  JMLR 2006»
14 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,...
ORL
2006
105views more  ORL 2006»
14 years 11 months ago
Inventory placement in acyclic supply chain networks
The strategic safety stock placement problem is a constrained separable concave minimization problem and so is solvable, in principle, as a sequence of mixed-integer programming p...
Thomas L. Magnanti, Zuo-Jun Max Shen, Jia Shu, Dav...
CMOT
2004
141views more  CMOT 2004»
14 years 11 months ago
Small Worlds Among Interlocking Directors: Network Structure and Distance in Bipartite Graphs
We describe a methodology to examine bipartite relational data structures as exemplified in networks of corporate interlocking. These structures can be represented as bipartite gr...
Garry Robins, Malcolm Alexander
TPDS
2002
173views more  TPDS 2002»
14 years 11 months ago
Data Gathering Algorithms in Sensor Networks Using Energy Metrics
Sensor webs consisting of nodes with limited battery power and wireless communications are deployed to collect useful information from the field. Gathering sensed information in an...
Stephanie Lindsey, Cauligi S. Raghavendra, Krishna...
INFOCOM
2010
IEEE
14 years 9 months ago
Cognitive Mobile Virtual Network Operator: Investment and Pricing with Supply Uncertainty
Abstract—This paper presents the first analytical study of optimal investment and pricing decisions of a cognitive mobile virtual network operator (C-MVNO) under spectrum supply...
Lingjie Duan, Jianwei Huang, Biying Shou