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» Methods for convex and general quadratic programming
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NIPS
2003
15 years 12 days ago
Max-Margin Markov Networks
In typical classification tasks, we seek a function which assigns a label to a single object. Kernel-based approaches, such as support vector machines (SVMs), which maximize the ...
Benjamin Taskar, Carlos Guestrin, Daphne Koller
PATMOS
2007
Springer
15 years 5 months ago
Soft Error-Aware Power Optimization Using Gate Sizing
—Power consumption has emerged as the premier and most constraining aspect in modern microprocessor and application-specific designs. Gate sizing has been shown to be one of the...
Foad Dabiri, Ani Nahapetian, Miodrag Potkonjak, Ma...
ISPD
2000
ACM
113views Hardware» more  ISPD 2000»
15 years 3 months ago
Floorplan area minimization using Lagrangian relaxation
modules can be handled in constraint graphs efficiently. This Floorplan area minimization is an important problem because many modules have shape flexibilities during the floorplan...
Fung Yu Young, Chris C. N. Chu, W. S. Luk, Y. C. W...
TPHOL
2007
IEEE
15 years 5 months ago
Verifying Nonlinear Real Formulas Via Sums of Squares
Techniques based on sums of squares appear promising as a general approach to the universal theory of reals with addition and multiplication, i.e. verifying Boolean combinations of...
John Harrison
RECOMB
1997
Springer
15 years 3 months ago
A branch-and-cut algorithm for multiple sequence alignment
Multiple sequence alignment is an important problem in computational biology. We study the Maximum Trace formulation introduced by Kececioglu [?]. We first phrase the problem in ...
Knut Reinert, Hans-Peter Lenhof, Petra Mutzel, Kur...