1405 search results - page 138 / 281 » Learning Instance-Specific Predictive Models |
138
Voted
ESANN
2006
15 years 3 months ago
2006
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
135
Voted
NIPS
2008
15 years 3 months ago
2008
Learning graphical models with hidden variables can offer semantic insights to complex data and lead to salient structured predictors without relying on expensive, sometime unatta...
126
Voted
JMLR
2010
14 years 9 months ago
2010
We present a general method for explaining individual predictions of classification models. The method is based on fundamental concepts from coalitional game theory and prediction...
116
Voted
CVPR
2008
IEEE
16 years 4 months ago
2008
IEEE
An important problem in image labeling concerns learning with images labeled at varying levels of specificity. We propose an approach that can incorporate images with labels drawn...
130
Voted
AAAI
2008
15 years 4 months ago
2008
Matrix factorization algorithms are frequently used in the machine learning community to find low dimensional representations of data. We introduce a novel generative Bayesian pro...