55 search results - page 10 / 11 » Supervised Learning by Training on Aggregate Outputs |
IEEEICCI
2009
IEEE
13 years 6 months ago
2009
IEEE
Abstract-In this paper, we construct a neural-inspired computational model based on the representational capabilities of receptive fields. The proposed model, known as Shape Encodi...
NIPS
1989
13 years 9 months ago
1989
Cascade-Correlation is a new architecture and supervised learning algorithm for artificial neural networks. Instead of just adjusting the weights in a network of fixed topology,...
ICONIP
2008
13 years 10 months ago
2008
Several applications would emerge from the development of efficient and robust sound classification systems able to identify the nature of non-speech sound sources. This paper prop...
ICML
2002
IEEE
14 years 9 months ago
2002
IEEE
Supervised learning techniques for text classi cation often require a large number of labeled examples to learn accurately. One way to reduce the amountoflabeled datarequired is t...
SIGMOD
2012
ACM
11 years 11 months ago
2012
ACM
The success of data-driven solutions to difficult problems, along with the dropping costs of storing and processing massive amounts of data, has led to growing interest in largesc...