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CORR
2006
Springer
153views Education» more  CORR 2006»
15 years 1 months ago
Genetic Programming, Validation Sets, and Parsimony Pressure
Fitness functions based on test cases are very common in Genetic Programming (GP). This process can be assimilated to a learning task, with the inference of models from a limited n...
Christian Gagné, Marc Schoenauer, Marc Pari...
CORR
2012
Springer
218views Education» more  CORR 2012»
13 years 9 months ago
Robust 1-bit compressed sensing and sparse logistic regression: A convex programming approach
This paper develops theoretical results regarding noisy 1-bit compressed sensing and sparse binomial regression. We demonstrate that a single convex program gives an accurate estim...
Yaniv Plan, Roman Vershynin
JMLR
2008
127views more  JMLR 2008»
15 years 1 months ago
Incremental Identification of Qualitative Models of Biological Systems using Inductive Logic Programming
The use of computational models is increasingly expected to play an important role in predicting the behaviour of biological systems. Models are being sought at different scales o...
Ashwin Srinivasan, Ross D. King
126
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FLOPS
2006
Springer
15 years 5 months ago
"Scrap Your Boilerplate" Reloaded
Abstract. The paper "Scrap your boilerplate" (SYB) introduces a combinator library for generic programming that offers generic traversals and queries. Classically, suppor...
Ralf Hinze, Andres Löh, Bruno C. D. S. Olivei...
MICRO
2005
IEEE
126views Hardware» more  MICRO 2005»
15 years 7 months ago
Cost Sensitive Modulo Scheduling in a Loop Accelerator Synthesis System
Scheduling algorithms used in compilers traditionally focus on goals such as reducing schedule length and register pressure or producing compact code. In the context of a hardware...
Kevin Fan, Manjunath Kudlur, Hyunchul Park, Scott ...