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IJCNN
2006
IEEE
13 years 11 months ago
Ensemble Techniques for Avoiding Poor Performance in Evolved Neural Networks
— The idea of using evolutionary techniques to optimize the performance of neural networks is now widely used, but some approaches have been found to result in the evolution of r...
John A. Bullinaria
ATAL
2006
Springer
13 years 7 months ago
Can good learners always compensate for poor learners?
Can a good learner compensate for a poor learner when paired in a coordination game? Previous work has given an example where a special learning algorithm (FMQ) is capable of doin...
Keith Sullivan, Liviu Panait, Gabriel Catalin Bala...
ICML
2003
IEEE
14 years 6 months ago
Tackling the Poor Assumptions of Naive Bayes Text Classifiers
Naive Bayes is often used as a baseline in text classification because it is fast and easy to implement. Its severe assumptions make such efficiency possible but also adversely af...
Jason D. Rennie, Lawrence Shih, Jaime Teevan, Davi...
ICRA
2000
IEEE
99views Robotics» more  ICRA 2000»
13 years 10 months ago
Sensor Resetting Localization for Poorly Modelled Mobile Robots
We present a new localization algorithm called Sensor Resetting Localization which is an extension of Monte Carlo Localization. The algorithm adds sensor based resampling to Monte...
Scott Lenser, Manuela M. Veloso
CASES
2001
ACM
13 years 9 months ago
The emerging power crisis in embedded processors: what can a poor compiler do?
It is widely acknowledged that even as VLSI technology advances, there is a looming crisis that is an important obstacle to the widespread deployment of mobile embedded devices, n...
Lakshmi N. Chakrapani, Pinar Korkmaz, Vincent John...