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» Machine learning problems from optimization perspective
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POPL
2010
ACM
16 years 19 days ago
Automatically Generating Instruction Selectors Using Declarative Machine Descriptions
Despite years of work on retargetable compilers, creating a good, reliable back end for an optimizing compiler still entails a lot of hard work. Moreover, a critical component of ...
João Dias, Norman Ramsey
ICML
2000
IEEE
16 years 4 months ago
Eligibility Traces for Off-Policy Policy Evaluation
Eligibility traces have been shown to speed reinforcement learning, to make it more robust to hidden states, and to provide a link between Monte Carlo and temporal-difference meth...
Doina Precup, Richard S. Sutton, Satinder P. Singh
IWCLS
2007
Springer
15 years 9 months ago
On Lookahead and Latent Learning in Simple LCS
Learning Classifier Systems use evolutionary algorithms to facilitate rule- discovery, where rule fitness is traditionally payoff based and assigned under a sharing scheme. Most c...
Larry Bull
BMCBI
2005
131views more  BMCBI 2005»
15 years 3 months ago
Regularized Least Squares Cancer Classifiers from DNA microarray data
Background: The advent of the technology of DNA microarrays constitutes an epochal change in the classification and discovery of different types of cancer because the information ...
Nicola Ancona, Rosalia Maglietta, Annarita D'Addab...
ECML
2005
Springer
15 years 8 months ago
Kernel Basis Pursuit
ABSTRACT. Estimating a non-uniformly sampled function from a set of learning points is a classical regression problem. Kernel methods have been widely used in this context, but eve...
Vincent Guigue, Alain Rakotomamonjy, Stépha...