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» Newton's method and its use in optimization
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JACIII
2006
97views more  JACIII 2006»
15 years 1 months ago
Opposition-Based Reinforcement Learning
In this paper a method for image segmentation using an opposition-based reinforcement learning scheme is introduced. We use this agent-based approach to optimally find the appropri...
Hamid R. Tizhoosh
ROBOCUP
2004
Springer
147views Robotics» more  ROBOCUP 2004»
15 years 7 months ago
Learning to Drive and Simulate Autonomous Mobile Robots
We show how to apply learning methods to two robotics problems, namely the optimization of the on-board controller of an omnidirectional robot, and the derivation of a model of the...
Alexander Gloye, Cüneyt Göktekin, Anna E...
FORMATS
2009
Springer
15 years 8 months ago
Exploiting Timed Automata for Conformance Testing of Power Measurements
For software development, testing is still the primary choice for investigating the correctness of a system. Automated testing is of utmost importance to support continuous integra...
Matthias Woehrle, Kai Lampka, Lothar Thiele
SAS
1997
Springer
111views Formal Methods» more  SAS 1997»
15 years 5 months ago
Fast and Effective Procedure Inlining
is an important optimization for programs that use procedural abstraction. Because inlining trades code size for execution speed, the effectiveness of an inlining algorithm is det...
Oscar Waddell, R. Kent Dybvig
117
Voted
BIBE
2009
IEEE
131views Bioinformatics» more  BIBE 2009»
15 years 5 months ago
Learning Scaling Coefficient in Possibilistic Latent Variable Algorithm from Complex Diagnosis Data
—The Possibilistic Latent Variable (PLV) clustering algorithm is a powerful tool for the analysis of complex datasets due to its robustness toward data distributions of different...
Zong-Xian Yin