1860 search results - page 56 / 372 » Boosting Methods for Regression |
ICDM
2009
IEEE
14 years 4 months ago
2009
IEEE
—We describe parallel methods for solving large-scale, high-dimensional, sparse least-squares problems that arise in machine learning applications such as document classificatio...
SIGIR
2005
ACM
14 years 3 months ago
2005
ACM
This paper reports a cross-benchmark evaluation of regularized logistic regression (LR) and incremental Rocchio for adaptive filtering. Using four corpora from the Topic Detection...
GECCO
2005
Springer
14 years 3 months ago
2005
Springer
In the field of medicine it is of vital importance to accurately predict the presence of a disease (diagnostic prediction) or the future occurrence of a certain event (prognostic...
GFKL
2005
Springer
14 years 3 months ago
2005
Springer
Projection pursuit was originally introduced to identify structures in multivariate data clouds (Huber, 1985). The idea of projecting data to a lowdimensional subspace can also be ...
NIPS
2004
13 years 11 months ago
2004
Log-concavity is an important property in the context of optimization, Laplace approximation, and sampling; Bayesian methods based on Gaussian process priors have become quite pop...