5302 search results - page 94 / 1061 » Learning How to Separate |
112
click to vote
COLT
1993
Springer
15 years 7 months ago
1993
Springer
We introduce a new formal model in which a learning algorithm must combine a collection of potentially poor but statistically independent hypothesis functions in order to approxima...
138
Voted
ICML
1990
IEEE
15 years 7 months ago
1990
IEEE
We present an approach to modeling the average case behavior of learning algorithms. Our motivation is to predict the expected accuracy of learning algorithms as a function of the...
128
Voted
TSD
2010
Springer
15 years 1 months ago
2010
Springer
The main idea of a priori machine learning is to apply a machine learning method on a machine learning problem itself. We call it "a priori" because the processed data se...
116
Voted
ICDM
2010
IEEE
15 years 1 months ago
2010
IEEE
Consider a typical recommendation problem. A company has historical records of products sold to a large customer base. These records may be compactly represented as a sparse custom...
160
click to vote
CVPR
2009
IEEE
16 years 10 months ago
2009
IEEE
The aim of this work is to learn a shape prior model
for an object class and to improve shape matching with the
learned shape prior. Given images of example instances,
we can le...