1062 search results - page 124 / 213 » Sublinear Optimization for Machine Learning |
132
Voted
ML
2002
ACM
15 years 1 months ago
2002
ACM
We examine methods for constructing regression ensembles based on a linear program (LP). The ensemble regression function consists of linear combinations of base hypotheses generat...
100
Voted
ICML
2007
IEEE
16 years 3 months ago
2007
IEEE
The l-bfgs limited-memory quasi-Newton method is the algorithm of choice for optimizing the parameters of large-scale log-linear models with L2 regularization, but it cannot be us...
ICML
2006
IEEE
16 years 3 months ago
2006
IEEE
We experimentally study on-line investment algorithms first proposed by Agarwal and Hazan and extended by Hazan et al. which achieve almost the same wealth as the best constant-re...
105
Voted
ICDM
2007
IEEE
15 years 8 months ago
2007
IEEE
We present a machine learning methodology (models, algorithms, and experimental data) to discovering the agent dynamics that drive the evolution of the social groups in a communit...
133
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ICDM
2006
IEEE
15 years 8 months ago
2006
IEEE
Kernel methods have been shown to be very effective for applications requiring the modeling of structured objects. However kernels for structures usually are too computational dem...