843 search results - page 137 / 169 » Learning aspect models with partially labeled data |
118
Voted
MLDM
2005
Springer
15 years 6 months ago
2005
Springer
In the context of large databases, data preparation takes a greater importance : instances and explanatory attributes have to be carefully selected. In supervised learning, instanc...
101
Voted
ICCV
2003
IEEE
16 years 3 months ago
2003
IEEE
In this work we present Discriminative Random Fields (DRFs), a discriminative framework for the classification of image regions by incorporating neighborhood interactions in the l...
99
Voted
PODS
2010
ACM
15 years 2 months ago
2010
ACM
Databases in real life are often neither entirely closed-world nor entirely open-world. Indeed, databases in an enterprise are typically partially closed, in which a part of the d...
105
Voted
WWW
2007
ACM
16 years 1 months ago
2007
ACM
This paper is concerned with rank aggregation, the task of combining the ranking results of individual rankers at meta-search. Previously, rank aggregation was performed mainly by...
103
Voted
AAAI
2000
15 years 2 months ago
2000
We introduce the notion of restricted Bayes optimal classifiers. These classifiers attempt to combine the flexibility of the generative approach to classification with the high ac...