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LION
2010
Springer
209views Optimization» more  LION 2010»
14 years 8 days ago
Feature Extraction from Optimization Data via DataModeler's Ensemble Symbolic Regression
We demonstrate a means of knowledge discovery through feature extraction that exploits the search history of an optimization run. We regress a symbolic model ensemble from optimiza...
Kalyan Veeramachaneni, Katya Vladislavleva, Una-Ma...
JCP
2008
105views more  JCP 2008»
13 years 7 months ago
Thermal Driven Placement for Island-style MTCMOS FPGAs
Rapid increase in transistor density and operating frequency has led to the increase in power densities, exhibiting itself as a high temperature profile. The high temperature spots...
Javid Jaffari, Mohab Anis
ICASSP
2011
IEEE
12 years 11 months ago
Application specific loss minimization using gradient boosting
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
Bin Zhang, Abhinav Sethy, Tara N. Sainath, Bhuvana...
INTERNET
2002
175views more  INTERNET 2002»
13 years 7 months ago
Web Services Interaction Models, Part 1: Current Practice
of abstractions a middleware system makes available to applications, they figure prominently in determining the breadth and variety of application integration that the middleware s...
Steve Vinoski
MOR
2002
94views more  MOR 2002»
13 years 7 months ago
The Complexity of Generic Primal Algorithms for Solving General Integer Programs
ngly better objective function value until an optimal solution is reached. From an abstract point of view, an augmentation problem is solved in each iteration. That is, given a fea...
Andreas S. Schulz, Robert Weismantel