641 search results - page 38 / 129 » Training Methods for Adaptive Boosting of Neural Networks |
GECCO
2008
Springer
14 years 10 months ago
2008
Springer
This paper presents an study about a new Hybrid method GRASPES - for time series prediction, inspired in F. Takens theorem and based on a multi-start metaheuristic for combinatori...
IJCNN
2006
IEEE
15 years 3 months ago
2006
IEEE
- This paper presents a variable node-to-node-link neural network (VN2 NN) trained by real-coded genetic algorithm (RCGA). The VN2 NN exhibits a node-to-node relationship in the hi...
81
Voted
ESANN
2004
14 years 11 months ago
2004
Standard pattern recognition provides effective and noise-tolerant tools for machine learning tasks; however, most approaches only deal with real vectors of a finite and fixed dime...
APIN
2004
14 years 9 months ago
2004
This paper describes the result of our study on neural learning to solve the classification problems in which data is unbalanced and noisy. We conducted the study on three differen...
ICMCS
2000
IEEE
15 years 2 months ago
2000
IEEE
In this paper, a non-linear relevance feedback mechanism is proposed for increasing the performance and the reliability of content-based retrieval systems. In particular, the huma...