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» Noise-Tolerant Instance-Based Learning Algorithms
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ALT
2011
Springer
12 years 4 months ago
On Noise-Tolerant Learning of Sparse Parities and Related Problems
We consider the problem of learning sparse parities in the presence of noise. For learning parities on r out of n variables, we give an algorithm that runs in time poly log 1 δ , ...
Elena Grigorescu, Lev Reyzin, Santosh Vempala
ML
2000
ACM
128views Machine Learning» more  ML 2000»
13 years 4 months ago
Reduction Techniques for Instance-Based Learning Algorithms
D. Randall Wilson, Tony R. Martinez
COLT
2001
Springer
13 years 9 months ago
Smooth Boosting and Learning with Malicious Noise
We describe a new boosting algorithm which generates only smooth distributions which do not assign too much weight to any single example. We show that this new boosting algorithm ...
Rocco A. Servedio
MICAI
2004
Springer
13 years 10 months ago
An Optimization Algorithm Based on Active and Instance-Based Learning
We present an optimization algorithm that combines active learning and locally-weighted regression to find extreme points of noisy and complex functions. We apply our algorithm to...
Olac Fuentes, Thamar Solorio
DATAMINE
2002
169views more  DATAMINE 2002»
13 years 4 months ago
Advances in Instance Selection for Instance-Based Learning Algorithms
The basic nearest neighbour classifier suffers from the indiscriminate storage of all presented training instances. With a large database of instances classification response time ...
Henry Brighton, Chris Mellish