420 search results - page 1 / 84 » Metric-Based Methods for Adaptive Model Selection and Regula... |
ML
2002
ACM
13 years 4 months ago
2002
ACM
We present a general approach to model selection and regularization that exploits unlabeled data to adaptively control hypothesis complexity in supervised learning tasks. The idea ...
IDA
2003
Springer
13 years 9 months ago
2003
Springer
This paper tackles the problem of model complexity in the context of additive models. Several methods have been proposed to estimate smoothing parameters, as well as to perform var...
WSDM
2012
ACM
12 years 3 days ago
2012
ACM
Many factorization models like matrix or tensor factorization have been proposed for the important application of recommender systems. The success of such factorization models dep...
PAMI
2010
13 years 3 months ago
2010
—Adapting the hyperparameters of support vector machines (SVMs) is a challenging model selection problem, especially when flexible kernels are to be adapted and data are scarce....
CDC
2010
IEEE
12 years 11 months ago
2010
IEEE
Online Convex Programming (OCP) is a recently developed model of sequential decision-making in the presence of time-varying uncertainty. In this framework, a decisionmaker selects ...