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ICML
2006
IEEE
14 years 9 months ago
Bayesian regression with input noise for high dimensional data
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
Jo-Anne Ting, Aaron D'Souza, Stefan Schaal
GECCO
2007
Springer
177views Optimization» more  GECCO 2007»
14 years 3 months ago
On the behavioral diversity of random programs
Generating a random sampling of program trees with specified function and terminal sets is the initial step of many program evolution systems. I present a theoretical and experim...
Moshe Looks
CC
2007
Springer
109views System Software» more  CC 2007»
14 years 3 months ago
Layout Transformations for Heap Objects Using Static Access Patterns
As the amount of data used by programs increases due to the growth of hardware storage capacity and computing power, efficient memory usage becomes a key factor for performance. Si...
Jinseong Jeon, Keoncheol Shin, Hwansoo Han
CONNECTION
2004
94views more  CONNECTION 2004»
13 years 8 months ago
Evolving internal memory for T-maze tasks in noisy environments
In autonomous agent systems, internal memory can be an important element to overcome the limitations of purely reactive agent behaviour. This paper presents an analysis of memory r...
DaeEun Kim
ICDAR
2003
IEEE
14 years 2 months ago
A Scalable Solution for Integrating Illustrated Parts Drawings into a Class IV Interactive Electronic Technical Manual
This paper discusses a scalable solution for integrating legacy illustrated parts drawings into a Class IV Interactive Electronic Technical Manual (IETM) [1,2]. An IETM is an inte...
Molly L. Boose, David B. Shema, Lawrence S. Baum