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» Optimizing Complex Loss Functions in Structured Prediction
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AIEDAM
1998
87views more  AIEDAM 1998»
13 years 8 months ago
Learning to set up numerical optimizations of engineering designs
Gradient-based numerical optimization of complex engineering designs offers the promise of rapidly producing better designs. However, such methods generally assume that the object...
Mark Schwabacher, Thomas Ellman, Haym Hirsh
CORR
2011
Springer
136views Education» more  CORR 2011»
13 years 24 days ago
Eliciting Forecasts from Self-interested Experts: Scoring Rules for Decision Makers
Scoring rules for eliciting expert predictions of random variables are usually developed assuming that experts derive utility only from the quality of their predictions (e.g., sco...
Craig Boutilier
GECCO
2005
Springer
102views Optimization» more  GECCO 2005»
14 years 2 months ago
Latent variable crossover for k-tablet structures and its application to lens design problems
This paper presents the Real-coded Genetic Algorithms for high-dimensional ill-scaled structures, what is called, the ktablet structure. The k-tablet structure is the landscape th...
Jun Sakuma, Shigenobu Kobayashi
VLDB
1999
ACM
89views Database» more  VLDB 1999»
14 years 1 months ago
Physical Data Independence, Constraints, and Optimization with Universal Plans
We present an optimization method and algorithm designed for three objectives: physical data independence, semantic optimization, and generalized tableau minimization. The method ...
Alin Deutsch, Lucian Popa, Val Tannen
BMCBI
2006
132views more  BMCBI 2006»
13 years 9 months ago
Length-dependent prediction of protein intrinsic disorder
Background: Due to the functional importance of intrinsically disordered proteins or protein regions, prediction of intrinsic protein disorder from amino acid sequence has become ...
Kang Peng, Predrag Radivojac, Slobodan Vucetic, A....