695 search results - page 15 / 139 » Different Learning Algorithms for Neural Networks - A Compar... |
IWANN
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. The aim of this paper is to present a new tool of multiple instance learning which is designed using a grammar based genetic programming (GGP) algorithm. We study its app...
IJON
2006
13 years 7 months ago
2006
A local linear wavelet neural network (LLWNN) is presented in this paper. The difference of the network with conventional wavelet neural network (WNN) is that the connection weigh...
ICMLC
2010
Springer
13 years 5 months ago
2010
Springer
: Patent classification is a large scale hierarchical text classification (LSHTC) task. Though comprehensive comparisons, either learning algorithms or feature selection strategies...
ISNN
2007
Springer
14 years 1 months ago
2007
Springer
Abstract. Compared to normal learning algorithms, for example backpropagation, the optimal bounded ellipsoid (OBE) algorithm has some better properties, such as faster convergence,...
IJCNN
2006
IEEE
14 years 1 months ago
2006
IEEE
—In this paper we propose a new graph-based feature splitting algorithm maxInd, which creates a balanced split maximizing the independence between the two feature sets. We study ...