201 search results - page 34 / 41 » Exploiting Unlabeled Data for Improving Accuracy of Predicti... |
ICPR
2010
IEEE
13 years 11 months ago
2010
IEEE
We present a general, simple feature representation of sequences that allows efficient inexact matching, comparison and classification of sequential data. This approach, recently ...
DIS
2009
Springer
14 years 2 months ago
2009
Springer
Multiple-instance learning (MIL) is a generalization of the supervised learning problem where each training observation is a labeled bag of unlabeled instances. Several supervised ...
MLDM
2005
Springer
14 years 1 months ago
2005
Springer
Assessing the similarity between objects is a prerequisite for many data mining techniques. This paper introduces a novel approach to learn distance functions that maximizes the c...
IIR
2010
13 years 9 months ago
2010
Recommender systems are intelligent applications that help on-line users to tackle information overload by providing recommendations of relevant items. Collaborative Filtering (CF...
KDD
2009
ACM
14 years 8 months ago
2009
ACM
Conditional random fields(CRFs) are a class of undirected graphical models which have been widely used for classifying and labeling sequence data. The training of CRFs is typicall...