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» Structured Sparsity in Structured Prediction
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ASPDAC
2006
ACM
97views Hardware» more  ASPDAC 2006»
15 years 10 months ago
SASIMI: sparsity-aware simulation of interconnect-dominated circuits with non-linear devices
We present a technique for the fast and accurate simulation of largescale VLSI interconnects with nonlinear devices, called SASIMI. The numerical efficiency of this technique is ...
Jitesh Jain, Stephen Cauley, Cheng-Kok Koh, Venkat...
154
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JMLR
2012
13 years 6 months ago
Randomized Optimum Models for Structured Prediction
One approach to modeling structured discrete data is to describe the probability of states via an energy function and Gibbs distribution. A recurring difficulty in these models is...
Daniel Tarlow, Ryan Prescott Adams, Richard S. Zem...
160
Voted
EVOW
2012
Springer
13 years 11 months ago
Multiobjectivizing the HP Model for Protein Structure Prediction
Abstract. The hydrophobic-polar (HP) model for protein structure preabstracts the fact that hydrophobic interactions are a dominant force in the protein folding process. This model...
Mario Garza-Fabre, Eduardo Rodriguez-Tello, Gregor...
141
Voted
EMNLP
2010
15 years 1 months ago
Confidence in Structured-Prediction Using Confidence-Weighted Models
Confidence-Weighted linear classifiers (CW) and its successors were shown to perform well on binary and multiclass NLP problems. In this paper we extend the CW approach for sequen...
Avihai Mejer, Koby Crammer
142
Voted
HICSS
2005
IEEE
154views Biometrics» more  HICSS 2005»
15 years 9 months ago
Market Structure and the Predictability of Electricity System Line Flows: An Experimental Analysis
Robert Thomas has shown, using simulations of experimental results, that the power flow on any line in an electric network is linearly proportional to the total system load when t...
Nodir Adilov, Thomas Light, Richard E. Schuler, Wi...