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ACMSE
2010
ACM
15 years 4 months ago
Generating three binary addition algorithms using reinforcement programming
Reinforcement Programming (RP) is a new technique for automatically generating a computer program using reinforcement learning methods. This paper describes how RP learned to gene...
Spencer K. White, Tony R. Martinez, George L. Rudo...
ICCAD
1996
IEEE
80views Hardware» more  ICCAD 1996»
15 years 10 months ago
Generalized constraint generation in the presence of non-deterministic parasitics
In a constraint-drivenlayout synthesisenvironment,parasitic constraints are generated and implemented in each phase of the design process to meet a given set of performance specif...
Edoardo Charbon, Paolo Miliozzi, Enrico Malavasi, ...
GECCO
2005
Springer
121views Optimization» more  GECCO 2005»
16 years 1 days ago
An evolutionary algorithm to generate hyper-ellipsoid detectors for negative selection
This paper introduces hyper-ellipsoids as an improvement to hyper-spheres as intrusion detectors in a negative selection problem within an artificial immune system. Since hyper-s...
Joseph M. Shapiro, Gary B. Lamont, Gilbert L. Pete...
ECAI
2008
Springer
15 years 8 months ago
Test Generation for Model-Based Diagnosis
This article formalises the dual problem to model-based diagnosis (MBD), i.e., generating tests to isolate multiple simultaneous faults. Using a standard propositional MBD framewo...
Gregory M. Provan
EACL
2006
ACL Anthology
15 years 8 months ago
Structuring Knowledge for Reference Generation: A Clustering Algorithm
This paper discusses two problems that arise in the Generation of Referring Expressions: (a) numeric-valued attributes, such as size or location; (b) perspective-taking in referen...
Albert Gatt