2190 search results - page 237 / 438 » Learning with the Set Covering Machine |
150
click to vote
TNN
2010
14 years 10 months ago
2010
Abstract--A crucial issue in designing learning machines is to select the correct model parameters. When the number of available samples is small, theoretical sample-based generali...
127
Voted
ICASSP
2011
IEEE
14 years 7 months ago
2011
IEEE
In many machine learning applications, like Brain - Computer Interfaces (BCI), only high-dimensional noisy data are available rendering the discrimination task non-trivial. In thi...
128
click to vote
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
We present a theoretical analysis of supervised ranking, providing necessary and sufficient conditions for the asymptotic consistency of algorithms based on minimizing a surrogate...
152
click to vote
COLT
2001
Springer
15 years 8 months ago
2001
Springer
The Kushilevitz-Mansour (KM) algorithm is an algorithm that finds all the “large” Fourier coefficients of a Boolean function. It is the main tool for learning decision trees ...
162
click to vote
ICIP
2003
IEEE
16 years 5 months ago
2003
IEEE
For effective retrieval of visual information, statistical learning plays a pivotal role. Statistical learning in such a context faces at least two major mathematical challenges: ...