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NIPS
1996
13 years 9 months ago
Why did TD-Gammon Work?
Although TD-Gammon is one of the major successes in machine learning, it has not led to similar impressive breakthroughs in temporal difference learning for other applications or ...
Jordan B. Pollack, Alan D. Blair
CEC
2010
IEEE
13 years 9 months ago
Evolving a CUDA kernel from an nVidia template
Rather than attempting to evolve a complete program from scratch we demonstrate genetic interface programming (GIP) by automatically generating a parallel CUDA kernel with identica...
William B. Langdon, Mark Harman
ICML
2010
IEEE
13 years 9 months ago
Label Ranking Methods based on the Plackett-Luce Model
This paper introduces two new methods for label ranking based on a probabilistic model of ranking data, called the Plackett-Luce model. The idea of the first method is to use the ...
Weiwei Cheng, Krzysztof Dembczynski, Eyke Hül...
CORR
2008
Springer
94views Education» more  CORR 2008»
13 years 8 months ago
A Toolkit for Scalable Spreadsheet Visualization
This paper presents a toolkit for spreadsheet visualization based on logical areas, semantic classes and data Logical areas, semantic classes and data modules are abstract represe...
Markus Clermont
CSDA
2010
111views more  CSDA 2010»
13 years 8 months ago
Mixtures of regressions with predictor-dependent mixing proportions
We extend the standard mixture of linear regressions model by allowing mixing proportions to be modeled nonparametrically as a function of the predictors. This framework allows fo...
D. S. Young, D. R. Hunter