801 search results - page 67 / 161 » The Inefficiency of Batch Training for Large Training Sets |
JAIR
2000
13 years 8 months ago
2000
A major problem in machine learning is that of inductive bias: how to choose a learner's hypothesis space so that it is large enough to contain a solution to the problem bein...
IVC
2007
13 years 8 months ago
2007
This paper deals with content-based image retrieval. When the user is looking for large categories, statistical classification techniques are efficient as soon as the training se...
ICDM
2006
IEEE
14 years 3 months ago
2006
IEEE
An ensemble is a group of learners that work together as a committee to solve a problem. However, the existing ensemble training algorithms sometimes generate unnecessary large en...
IJCNN
2006
IEEE
14 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...
ICB
2009
Springer
14 years 1 months ago
2009
Springer
In this paper, we propose a random network ensemble for face recognition problem, particularly for images with a large appearance variation and with a limited number of training se...