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APIN
2002
90views more  APIN 2002»
14 years 10 months ago
Scalable Techniques from Nonparametric Statistics for Real Time Robot Learning
Abstract: Locally weighted learning (LWL) is a class of techniques from nonparametric statistics that provides useful representations and training algorithms for learning about com...
Stefan Schaal, Christopher G. Atkeson, Sethu Vijay...
ASYNC
2006
IEEE
92views Hardware» more  ASYNC 2006»
15 years 5 months ago
Low-Overhead Testing of Delay Faults in High-Speed Asynchronous Pipelines
We propose a low-overhead method for delay fault testing in high-speed asynchronous pipelines. The key features of our work are: (i) testing strategies can be administered using l...
Gennette Gill, Ankur Agiwal, Montek Singh, Feng Sh...
BIOSYSTEMS
2007
72views more  BIOSYSTEMS 2007»
14 years 11 months ago
Parameter-free testing of the shape of a probability distribution
The Kolmogorov–Smirnov test determines the consistency of empirical data with a particular probability distribution. Often, parameters in the distribution are unknown, and have ...
M. Broom, P. Nouvellet, J. P. Bacon, D. Waxman
ACII
2005
Springer
15 years 4 months ago
Using an Avatar to Develop a System for the Predication of Human Body Pose from Moments
Tracking people using movie sequences is not straightforward because of the human body's articulation and the complexity of a person's movements. In this paper we show ho...
Song Hu, Bernard F. Buxton
APIN
2004
116views more  APIN 2004»
14 years 10 months ago
Neural Learning from Unbalanced Data
This paper describes the result of our study on neural learning to solve the classification problems in which data is unbalanced and noisy. We conducted the study on three differen...
Yi Lu Murphey, Hong Guo, Lee A. Feldkamp