155 search results - page 26 / 31 » On learning linear ranking functions for beam search |
ICANN
1997
Springer
13 years 11 months ago
1997
Springer
We use simulated soccer to study multiagent learning. Each team's players (agents) share action set and policy but may behave differently due to position-dependent inputs. All...
SIGIR
2008
ACM
13 years 7 months ago
2008
ACM
Evaluation measures act as objective functions to be optimized by information retrieval systems. Such objective functions must accurately reflect user requirements, particularly w...
SIGIR
2010
ACM
13 years 11 months ago
2010
ACM
Evaluation metrics play a critical role both in the context of comparative evaluation of the performance of retrieval systems and in the context of learning-to-rank (LTR) as objec...
CORR
2010
Springer
13 years 4 months ago
2010
Springer
The paper addresses the problem of learning a regression model parameterized by a fixed-rank positive semidefinite matrix. The focus is on the nonlinear nature of the search space...
CVPR
2010
IEEE
14 years 3 months ago
2010
IEEE
Searching approximate nearest neighbors in large scale high dimensional data set has been a challenging problem. This paper presents a novel and fast algorithm for learning binary...