178 search results - page 25 / 36 » A Simple Algorithm for Nuclear Norm Regularized Problems |
KDD
2010
ACM
13 years 9 months ago
2010
ACM
We consider the problem of learning incoherent sparse and lowrank patterns from multiple tasks. Our approach is based on a linear multi-task learning formulation, in which the spa...
CORR
2010
Springer
13 years 7 months ago
2010
Springer
Existing value function approximation methods have been successfully used in many applications, but they often lack useful a priori error bounds. We propose a new approximate bili...
JMLR
2012
11 years 9 months ago
2012
We consider the sparse inverse covariance regularization problem or graphical lasso with regularization parameter λ. Suppose the sample covariance graph formed by thresholding th...
ECCC
2000
13 years 7 months ago
2000
We analyze the addition of a simple local improvement step to various known randomized approximation algorithms. Let ' 0:87856 denote the best approximation ratio currently k...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Logistic Regression is a well-known classification method that has been used widely in many applications of data mining, machine learning, computer vision, and bioinformatics. Spa...