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CGO
2009
IEEE
14 years 2 months ago
Automatic Feature Generation for Machine Learning Based Optimizing Compilation
Recent work has shown that machine learning can automate and in some cases outperform hand crafted compiler optimizations. Central to such an approach is that machine learning tec...
Hugh Leather, Edwin V. Bonilla, Michael O'Boyle
AHS
2006
IEEE
113views Hardware» more  AHS 2006»
13 years 11 months ago
A Honeycomb Development Architecture for Robust Fault-Tolerant Design
A new hardware developmental model that shows strong robust transient fault-tolerant abilities and is motivated by embryonic development and a honeycomb structure is presented. Ca...
Andy M. Tyrrell, Hong Sun
PPSN
2010
Springer
13 years 6 months ago
Testing the Dinosaur Hypothesis under Empirical Datasets
In this paper we present the Dinosaur Hypothesis, which states that the behaviour of a market never settles down and that the population of predictors continually co-evolves with t...
Michael Kampouridis, Shu-Heng Chen, Edward P. K. T...
BMCBI
2008
149views more  BMCBI 2008»
13 years 6 months ago
MD-SeeGH: a platform for integrative analysis of multi-dimensional genomic data
Background: Recent advances in global genomic profiling methodologies have enabled multidimensional characterization of biological systems. Complete analysis of these genomic prof...
Bryan Chi, Ronald J. deLeeuw, Bradley P. Coe, Raym...
AOSD
2011
ACM
12 years 11 months ago
An aspect-oriented approach for implementing evolutionary computation applications
Object-oriented frameworks support design and code reuse for specific application domains. To facilitate the development of evolutionary computation (EC) programs, such as geneti...
Andres J. Ramirez, Adam C. Jensen, Betty H. C. Che...