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» On Computing Functions with Uncertainty
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FPL
2008
Springer
154views Hardware» more  FPL 2008»
15 years 8 months ago
Numerical function generators using bilinear interpolation
Two-variable numerical functions are widely used in various applications, such as computer graphics and digital signal processing. Fast and compact hardware implementations are re...
Shinobu Nagayama, Tsutomu Sasao, Jon T. Butler
GECCO
2006
Springer
202views Optimization» more  GECCO 2006»
15 years 10 months ago
Evolving hash functions by means of genetic programming
The design of hash functions by means of evolutionary computation is a relatively new and unexplored problem. In this work, we use Genetic Programming (GP) to evolve robust and fa...
César Estébanez, Julio César ...
APPINF
2003
15 years 8 months ago
Why Functional Programming Really Matters
The significance of functional programming is revealed as that the feasible approach to language extensibility which it enables is further applicable to programming in general and...
Paul A. Bailes, Colin J. M. Kemp, Ian Peake, Sean ...
INFSOF
1998
73views more  INFSOF 1998»
15 years 6 months ago
Restructuring programs by tucking statements into functions
Changing the internal structure of a program without changing its behavior is called restructuring. This paper presents a transformation called tuck for restructuring programs by ...
Arun Lakhotia, Jean-Christophe Deprez
RAS
2002
131views more  RAS 2002»
15 years 6 months ago
Behavior generation for a mobile robot based on the adaptive fitness function
We have to prepare the evaluation (fitness) function to evaluate the performance of the robot when we apply the machine learning techniques to the robot application. In many cases,...
Eiji Uchibe, Masakazu Yanase, Minoru Asada