2018 search results - page 25 / 404 » Magnitude-preserving ranking algorithms |
ICML
2008
IEEE
14 years 10 months ago
2008
IEEE
This paper aims to conduct a study on the listwise approach to learning to rank. The listwise approach learns a ranking function by taking individual lists as instances and minimi...
GECCO
2005
Springer
14 years 3 months ago
2005
Springer
During the optimization of a constrained problem using evolutionary algorithms (EAs), an individual in the population can be described using three important properties, i.e., obje...
SIGMOD
2009
ACM
14 years 10 months ago
2009
ACM
In the rank join problem we are given a relational join R1 1 R2 and a function that assigns numeric scores to the join tuples, and the goal is to return the tuples with the highes...
ICML
2010
IEEE
13 years 10 months ago
2010
IEEE
We propose a general and efficient algorithm for learning low-rank matrices. The proposed algorithm converges super-linearly and can keep the matrix to be learned in a compact fac...
GECCO
2008
Springer
13 years 10 months ago
2008
Springer
We show how and why using genetic operators that are applied with probabilities that depend on the fitness rank of a genotype or phenotype offers a robust alternative to the Sim...