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COLT
1999
Springer
15 years 6 months ago
Uniform-Distribution Attribute Noise Learnability
We study the problem of PAC-learning Boolean functions with random attribute noise under the uniform distribution. We define a noisy distance measure for function classes and sho...
Nader H. Bshouty, Jeffrey C. Jackson, Christino Ta...
GECCO
2005
Springer
146views Optimization» more  GECCO 2005»
15 years 8 months ago
An empirical study of the robustness of two module clustering fitness functions
Two of the attractions of search-based software engineering (SBSE) derive from the nature of the fitness functions used to guide the search. These have proved to be highly robust...
Mark Harman, Stephen Swift, Kiarash Mahdavi
ATAL
2004
Springer
15 years 8 months ago
Fitting and Compilation of Multiagent Models through Piecewise Linear Functions
Decision-theoretic models have become increasingly popular as a basis for solving agent and multiagent problems, due to their ability to quantify the complex uncertainty and prefe...
David V. Pynadath, Stacy Marsella
TECS
2010
74views more  TECS 2010»
15 years 26 days ago
Recovering from distributable thread failures in distributed real-time Java
We consider the problem of recovering from failures of distributable threads (“threads”) in distributed realtime systems that operate under run-time uncertainties including th...
Edward Curley, Binoy Ravindran, Jonathan Stephen A...
ANNPR
2006
Springer
15 years 6 months ago
Simple and Effective Connectionist Nonparametric Estimation of Probability Density Functions
Abstract. Estimation of probability density functions (pdf) is one major topic in pattern recognition. Parametric techniques rely on an arbitrary assumption on the form of the unde...
Edmondo Trentin