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» Generalizing Updates: From Models to Programs
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248
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POPL
2008
ACM
16 years 2 months ago
Imperative self-adjusting computation
Self-adjusting computation enables writing programs that can automatically and efficiently respond to changes to their data (e.g., inputs). The idea behind the approach is to stor...
Umut A. Acar, Amal Ahmed, Matthias Blume
146
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ISCI
2008
165views more  ISCI 2008»
15 years 2 months ago
Support vector regression from simulation data and few experimental samples
This paper considers nonlinear modeling based on a limited amount of experimental data and a simulator built from prior knowledge. The problem of how to best incorporate the data ...
Gérard Bloch, Fabien Lauer, Guillaume Colin...
135
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AVI
2004
15 years 4 months ago
Visualizing programs with Jeliot 3
We present a program visualization tool called Jeliot 3 that is designed to aid novice students to learn procedural and object oriented programming. The key feature of Jeliot is t...
Andrés Moreno, Niko Myller, Erkki Sutinen, ...
167
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ASE
1998
81views more  ASE 1998»
15 years 2 months ago
Program Understanding as Constraint Satisfaction: Representation and Reasoning Techniques
The process of understanding a source code in a high-level programming language involves complex computation. Given a piece of legacy code and a library of program plan templates, ...
Steven G. Woods, Qiang Yang
146
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GECCO
2008
Springer
201views Optimization» more  GECCO 2008»
15 years 3 months ago
Advanced techniques for the creation and propagation of modules in cartesian genetic programming
The choice of an appropriate hardware representation model is key to successful evolution of digital circuits. One of the most popular models is cartesian genetic programming, whi...
Paul Kaufmann, Marco Platzner