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» Generating Heap-Bounded Programs in a Functional Setting
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ALT
2004
Springer
14 years 4 months ago
On Kernels, Margins, and Low-Dimensional Mappings
Kernel functions are typically viewed as providing an implicit mapping of points into a high-dimensional space, with the ability to gain much of the power of that space without inc...
Maria-Florina Balcan, Avrim Blum, Santosh Vempala
CGO
2007
IEEE
14 years 2 months ago
Microarchitecture Sensitive Empirical Models for Compiler Optimizations
This paper proposes the use of empirical modeling techniques for building microarchitecture sensitive models for compiler optimizations. The models we build relate program perform...
Kapil Vaswani, Matthew J. Thazhuthaveetil, Y. N. S...
GECCO
2005
Springer
138views Optimization» more  GECCO 2005»
14 years 1 months ago
Artificial immune system for solving generalized geometric problems: a preliminary results
Generalized geometric programming (GGP) is an optimization method in which the objective function and constraints are nonconvex functions. Thus, a GGP problem includes multiple lo...
Jui-Yu Wu, Yun-Kung Chung
GECCO
2010
Springer
186views Optimization» more  GECCO 2010»
13 years 8 months ago
Genetic rule extraction optimizing brier score
Most highly accurate predictive modeling techniques produce opaque models. When comprehensible models are required, rule extraction is sometimes used to generate a transparent mod...
Ulf Johansson, Rikard König, Lars Niklasson
BMCBI
2010
135views more  BMCBI 2010»
13 years 7 months ago
Integration and visualization of systems biology data in context of the genome
Background: High-density tiling arrays and new sequencing technologies are generating rapidly increasing volumes of transcriptome and protein-DNA interaction data. Visualization a...
J. Christopher Bare, Tie Koide, David J. Reiss, Da...