1707 search results - page 170 / 342 » A Boosting Algorithm for Regression |
135
Voted
COMPGEOM
2004
ACM
15 years 9 months ago
2004
ACM
We consider the exact and approximate computational complexity of the multivariate LMS linear regression estimator. The LMS estimator is among the most widely used robust linear s...
114
Voted
CEAS
2006
Springer
15 years 7 months ago
2006
Springer
Most spam filters are configured for use at a very low falsepositive rate. Typically, the filters are trained with techniques that optimize accuracy or entropy, rather than perfor...
119
Voted
EWRL
2008
15 years 5 months ago
2008
We consider planning in a Markovian decision problem, i.e., the problem of finding a good policy given access to a generative model of the environment. We propose to use fitted Q-i...
118
Voted
NIPS
2003
15 years 5 months ago
2003
We generalise the Gaussian process (GP) framework for regression by learning a nonlinear transformation of the GP outputs. This allows for non-Gaussian processes and non-Gaussian ...
143
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NIPS
1998
15 years 5 months ago
1998
Adaptive Ridge is a special form of Ridge regression, balancing the quadratic penalization on each parameter of the model. It was shown to be equivalent to Lasso (least absolute s...