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» Partial evaluation of machine code
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DAGSTUHL
1996
13 years 11 months ago
What Not to Do When Writing an Interpreter for Specialisation
A partial evaluator, given a program and a known "static" part of its input data, outputs a specialised or residual program in which computations depending only on the st...
Neil D. Jones
KSEM
2009
Springer
14 years 4 months ago
A Competitive Learning Approach to Instance Selection for Support Vector Machines
Abstract. Support Vector Machines (SVM) have been applied successfully in a wide variety of fields in the last decade. The SVM problem is formulated as a convex objective function...
Mario Zechner, Michael Granitzer
GECCO
2008
Springer
121views Optimization» more  GECCO 2008»
13 years 11 months ago
Fast rule representation for continuous attributes in genetics-based machine learning
Genetic-Based Machine Learning Systems (GBML) are comparable in accuracy with other learning methods. However, efficiency is a significant drawback. This paper presents a new rep...
Jaume Bacardit, Natalio Krasnogor
IJPP
2011
115views more  IJPP 2011»
13 years 1 months ago
Milepost GCC: Machine Learning Enabled Self-tuning Compiler
Tuning compiler optimizations for rapidly evolving hardware makes porting and extending an optimizing compiler for each new platform extremely challenging. Iterative optimization i...
Grigori Fursin, Yuriy Kashnikov, Abdul Wahid Memon...
ISSRE
2010
IEEE
13 years 8 months ago
Automating System Tests Using Declarative Virtual Machines
—Automated regression test suites are an essential software engineering practice: they provide developers with rapid feedback on the impact of changes to a system’s source code...
Sander van der Burg, Eelco Dolstra