704 search results - page 25 / 141 » Learning the Ideal Evaluation Function |
73
Voted
SIGIR
2008
ACM
14 years 9 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...
EVOW
2009
Springer
15 years 4 months ago
2009
Springer
The Learnable Evolution Model (LEM) involves alternating periods of optimization and learning, performa extremely well on a range of problems, a specialises in achieveing good resu...
GECCO
2007
Springer
15 years 3 months ago
2007
Springer
In many design tasks it is difficult to explicitly define an objective function. This paper uses machine learning to derive an objective in a feature space based on selected examp...
EPIA
2009
Springer
15 years 4 months ago
2009
Springer
Inductive Logic Programming (ILP) [1] systems are general purpose learners that have had significant success on solving a number of relational problems, particularly from the biol...
GECCO
2006
Springer
15 years 1 months ago
2006
Springer
1 Learnable Evolution Model (LEM) is a form of non-Darwinian evolutionary computation that employs machine learning to guide evolutionary processes. Its main novelty are new type o...