107 search results - page 2 / 22 » Learning to rank using gradient descent |
NAACL
2010
13 years 8 months ago
2010
The goal of this work is to integrate query similarity metrics as features into a dense model that can be trained on large amounts of query log data, in order to rank query rewrit...
CORR
2004
Springer
13 years 10 months ago
2004
Springer
We study a general online convex optimization problem. We have a convex set S and an unknown sequence of cost functions c1, c2, . . . , and in each period, we choose a feasible po...
NIPS
2003
14 years 6 days ago
2003
Gradient-following learning methods can encounter problems of implementation in many applications, and stochastic variants are frequently used to overcome these difficulties. We ...
NIPS
1998
14 years 5 days ago
1998
A simple learning rule is derived, the VAPS algorithm, which can be instantiated to generate a wide range of new reinforcementlearning algorithms. These algorithms solve a number ...
ICML
2005
IEEE
14 years 11 months ago
2005
IEEE
We derive algorithms for finding a nonnegative n-dimensional tensor factorization (n-NTF) which includes the non-negative matrix factorization (NMF) as a particular case when n = ...