23 search results - page 3 / 5 » Rotational Prior Knowledge for SVMs |
IJCAI
2007
13 years 9 months ago
2007
Choosing good features to represent objects can be crucial to the success of supervised machine learning algorithms. Good high-level features are those that concentrate informatio...
PR
2007
13 years 7 months ago
2007
This article focusses on the problems of feature extraction and the recognition of handwritten digits. A trainable feature extractor based on the LeNet5 convolutional neural netwo...
TNN
2010
13 years 2 months ago
2010
Statistical learning methods are emerging as a valuable tool for decoding information from neural imaging data. The noisy signal and the limited number of training patterns that ar...
CIKM
2008
Springer
13 years 9 months ago
2008
Springer
Learning a sequence classifier means learning to predict a sequence of output tags based on a set of input data items. For example, recognizing that a handwritten word is "ca...
ECAI
2008
Springer
13 years 9 months ago
2008
Springer
From a conceptual point of view, belief revision and learning are quite similar. Both methods change the belief state of an intelligent agent by processing incoming information. Ho...