2820 search results - page 244 / 564 » Learning from Scarce Experience |
192
click to vote
AAAI
2006
15 years 8 months ago
2006
We present a novel framework for multi-label learning that explicitly addresses the challenge arising from the large number of classes and a small size of training data. The key a...
160
click to vote
IADIS
2004
15 years 8 months ago
2004
This paper outlines new perspectives on the teaching and learning of software systems development in large groups based on a newly designed, final year, Software Systems Analysis ...
164
click to vote
CEC
2010
IEEE
15 years 7 months ago
2010
IEEE
Learning Bayesian networks from data is an N-P hard problem with important practical applications. Several researchers have designed algorithms to overcome the computational comple...
221
click to vote
ISNN
2010
Springer
15 years 5 months ago
2010
Springer
Abstract. This paper proposes a new learning method for process neural networks (PNNs) based on the Gaussian mixture functions and particle swarm optimization (PSO), called PSO-LM....
220
click to vote
TIP
2010
15 years 5 months ago
2010
—In increasingly many cases of interest in computer vision and pattern recognition, one is often confronted with the situation where data size is very large. Usually, the labels ...