1071 search results - page 51 / 215 » An Experimental Study of Benchmarking Functions for Genetic ... |
GECCO
2004
Springer
14 years 2 months ago
2004
Springer
Abstract. Training neural networks is a complex task of great importance in the supervised learning field of research. In this work we tackle this problem with five algorithms, a...
WWW
2009
ACM
14 years 9 months ago
2009
ACM
In this paper, we study a novel problem of staring people discovery from social networks, which is concerned with finding people who are not only authoritative but also sociable i...
FOCI
2007
IEEE
14 years 3 months ago
2007
IEEE
— Backpropagation through time is a very popular discrete-time recurrent neural network training algorithm. However, the computational time associated with the learning process t...
RISE
2005
Springer
14 years 2 months ago
2005
Springer
Abstract. This paper applies the Evolutionary Strategy (ES) metaheuristic to the automatic test data generation problem. The problem consists in creating automatically a set of inp...
GECCO
2011
Springer
13 years 14 days ago
2011
Springer
The reward functions that drive reinforcement learning systems are generally derived directly from the descriptions of the problems that the systems are being used to solve. In so...