114 search results - page 7 / 23 » Local and Global Approximations for Incomplete Data |
132
Voted
ICML
2010
IEEE
15 years 4 months ago
2010
IEEE
This paper introduces two new methods for label ranking based on a probabilistic model of ranking data, called the Plackett-Luce model. The idea of the first method is to use the ...
143
Voted
ICDM
2007
IEEE
15 years 7 months ago
2007
IEEE
We propose an efficient algorithm for mining frequent approximate sequential patterns under the Hamming distance model. Our algorithm gains its efficiency by adopting a "brea...
183
Voted
JMLR
2010
14 years 10 months ago
2010
We study the problem of image denoising where images are assumed to be samples from low dimensional (sub)manifolds. We propose the algorithm of locally linear denoising. The algor...
129
Voted
ICDM
2008
IEEE
15 years 10 months ago
2008
IEEE
Many data sets are incomplete. For correct analysis of such data, one can either use algorithms that are designed to handle missing data or use imputation. Imputation has the bene...
120
Voted
CSDA
2006
15 years 3 months ago
2006
Methods for imputation of missing data in the so-called least-squares approximation approach, a non-parametric computationally efficient multidimensional technique, are experiment...