1548 search results - page 114 / 310 » Supervised Tensor Learning |
100
Voted
NIPS
1996
15 years 3 months ago
1996
This paper compares three penalty terms with respect to the efficiency of supervised learning, by using first- and second-order learning algorithms. Our experiments showed that fo...
117
Voted
CORR
2010
Springer
15 years 2 months ago
2010
Springer
We present and analyze an agnostic active learning algorithm that works without keeping a version space. This is unlike all previous approaches where a restricted set of candidate...
106
Voted
ITS
2010
Springer
15 years 7 months ago
2010
Springer
Abstract. In this paper, we use supervised machine learning to automatically identify the problem localization of peer-review feedback. Using five features extracted via Natural L...
119
Voted
ICML
2009
IEEE
16 years 3 months ago
2009
IEEE
The Conditional Restricted Boltzmann Machine (CRBM) is a recently proposed model for time series that has a rich, distributed hidden state and permits simple, exact inference. We ...
133
Voted
WSDM
2012
ACM
13 years 10 months 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...