103 search results - page 15 / 21 » Neural network construction and training using grammatical e... |
86
Voted
ICANN
2007
Springer
15 years 1 months ago
2007
Springer
Meta-Learning has been used to select algorithms based on the features of the problems being tackled. Each training example in this context, i.e. each meta-example, stores the feat...
100
Voted
JIRS
2008
14 years 9 months ago
2008
Abstract This paper proposes an approach for reducing the computational complexity of a model-predictive-control strategy for discrete-time hybrid systems with discrete inputs only...
99
Voted
ICANN
2007
Springer
15 years 1 months ago
2007
Springer
Abstract. Trained support vector machines (SVMs) have a slow runtime classification speed if the classification problem is noisy and the sample data set is large. Approximating the...
98
Voted
JMLR
2012
12 years 12 months ago
2012
In this paper, we propose a second order optimization method to learn models where both the dimensionality of the parameter space and the number of training samples is high. In ou...
79
Voted
SPIC
2010
14 years 4 months ago
2010
This paper presents a complete framework for attention-based video streaming for low bandwidth networks. First, motivated by the fovea-periphery distinction of biological vision s...