2440 search results - page 290 / 488 » Abstraction Learning |
GECCO
2003
Springer
14 years 4 months ago
2003
Springer
Abstract. When Genetic Algorithms (GAs) are employed in multimodal function optimization, engineering and machine learning, identifying multiple peaks and maintaining subpopulation...
ECSQARU
2001
Springer
14 years 3 months ago
2001
Springer
Abstract. The K2 metric is a well-known evaluation measure (or scoring function) for learning Bayesian networks from data [7]. It is derived by assuming uniform prior distributions...
ESANN
2001
14 years 4 days ago
2001
Abstract. Sigmoidal or radial transfer functions do not guarantee the best generalization nor fast learning of neural networks. Families of parameterized transfer functions provide...
CORR
2010
Springer
13 years 11 months ago
2010
Springer
Abstract--Recently Kutin and Niyogi investigated several notions of algorithmic stability--a property of a learning map conceptually similar to continuity--showing that training-st...
IJCNN
2008
IEEE
14 years 5 months ago
2008
IEEE
Abstract— This paper proposes a combination of methodologies based on a recent development –called Extreme Learning Machine (ELM)– decreasing drastically the training time of...