1364 search results - page 237 / 273 » Sampling Methods for Unsupervised Learning |
115
Voted
ECCV
2010
Springer
15 years 7 months ago
2010
Springer
Abstract. We study the problem of multimodal dimensionality reduction assuming that data samples can be missing at training time, and not all data modalities may be present at appl...
107
Voted
ICMLA
2008
15 years 3 months ago
2008
The quality of large-scale recommendation systems has been insufficient in terms of the accuracy of prediction. One of the major reasons is caused by the sparsity of the samples, ...
104
Voted
NIPS
2007
15 years 3 months ago
2007
Although kernel measures of independence have been widely applied in machine learning (notably in kernel ICA), there is as yet no method to determine whether they have detected st...
NIPS
2007
15 years 3 months ago
2007
It is becoming increasingly important to learn from a partially-observed random matrix and predict its missing elements. We assume that the entire matrix is a single sample drawn ...
108
Voted
ACL
2004
15 years 3 months ago
2004
This paper presents a Chinese word segmentation system which can adapt to different domains and standards. We first present a statistical framework where domain-specific words are...