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» Network Flow Algorithms for Structured Sparsity
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DAC
1996
ACM
13 years 10 months ago
Structural Gate Decomposition for Depth-Optimal Technology Mapping in LUT-based FPGA Design
In this paper, we study the problem of decomposing gates in fanin-unbounded or K-bounded networks such that the K-input LUT mapping solutions computed by a depthoptimal mapper hav...
Jason Cong, Yean-Yow Hwang
NETWORKS
2010
13 years 4 months ago
A mean-variance model for the minimum cost flow problem with stochastic arc costs
This paper considers a minimum cost flow problem where arc costs are uncertain, and the decision maker wishes to minimize both the expected flow cost and the variance of this co...
Stephen D. Boyles, S. Travis Waller
BMCBI
2011
12 years 9 months ago
Learning sparse models for a dynamic Bayesian network classifier of protein secondary structure
Background: Protein secondary structure prediction provides insight into protein function and is a valuable preliminary step for predicting the 3D structure of a protein. Dynamic ...
Zafer Aydin, Ajit Singh, Jeff Bilmes, William Staf...
BMCBI
2007
143views more  BMCBI 2007»
13 years 6 months ago
Factor analysis for gene regulatory networks and transcription factor activity profiles
Background: Most existing algorithms for the inference of the structure of gene regulatory networks from gene expression data assume that the activity levels of transcription fact...
Iosifina Pournara, Lorenz Wernisch
NETWORKS
2008
13 years 5 months ago
Reformulation and sampling to solve a stochastic network interdiction problem
The Network Interdiction Problem involves interrupting an adversary's ability to maximize flow through a capacitated network by destroying portions of the network. A budget c...
Udom Janjarassuk, Jeff Linderoth