704 search results - page 17 / 141 » Learning the Ideal Evaluation Function |
EUROGP
2010
Springer
15 years 2 months ago
2010
Springer
We describe a data mining framework that derives panelist information from sparse flavour survey data. One component of the framework executes genetic programming ensemble based s...
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
1990
14 years 10 months ago
1990
A new class of data structures called "bumptrees" is described. These structures are useful for efficiently implementing a number of neural network related operations. A...
GECCO
2004
Springer
15 years 3 months ago
2004
Springer
Previous work investigating the performance of genetic algorithms (GAs) has attempted to develop a set of fitness landscapes, called “Royal Roads” functions, which should be id...
MLDM
2005
Springer
15 years 3 months ago
2005
Springer
Assessing the similarity between objects is a prerequisite for many data mining techniques. This paper introduces a novel approach to learn distance functions that maximizes the c...