3643 search results - page 42 / 729 » Learning Submodular Functions |
JMLR
2012
13 years 13 days ago
2012
Often when modeling structured domains, it is desirable to leverage information that is not naturally expressed as simply a label. Examples include knowledge about the evaluation ...
ECAI
2008
Springer
14 years 11 months ago
2008
Springer
Abstract. We propose a framework that learns functional objectes from spatio-temporal data sets such as those abstracted from video. The data is represented as one activity graph t...
ECIR
2010
Springer
14 years 11 months ago
2010
Springer
Abstract. Learning To Rank (LTR) techniques aim to learn an effective document ranking function by combining several document features. While the function learned may be uniformly ...
NIPS
2008
14 years 11 months ago
2008
Regularized Least Squares (RLS) algorithms have the ability to avoid over-fitting problems and to express solutions as kernel expansions. However, we observe that the current RLS ...
NIPS
2007
14 years 11 months ago
2007
We present a general boosting method extending functional gradient boosting to optimize complex loss functions that are encountered in many machine learning problems. Our approach...