4 search results - page 1 / 1 » Probabilistic Multileave Gradient Descent |
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
We investigate using gradient descent methods for learning ranking functions; we propose a simple probabilistic cost function, and we introduce RankNet, an implementation of these...
ICML
2005
IEEE
14 years 5 months ago
2005
IEEE
Many real-world domains exhibit rich relational structure and stochasticity and motivate the development of models that combine predicate logic with probabilities. These models de...
ICML
2007
IEEE
14 years 5 months ago
2007
IEEE
The paper is concerned with learning to rank, which is to construct a model or a function for ranking objects. Learning to rank is useful for document retrieval, collaborative fil...
PLDI
2010
ACM
13 years 9 months ago
2010
ACM
We present smooth interpretation, a method to systematically approximate numerical imperative programs by smooth mathematical functions. This approximation facilitates the use of ...