610 search results - page 6 / 122 » Training a Selection Function for Extraction |
TAL
2010
Springer
13 years 6 months ago
2010
Springer
Abstract. Most common feature selection techniques for document categorization are supervised and require lots of training data in order to accurately capture the descriptive and d...
ICMCS
2009
IEEE
13 years 5 months ago
2009
IEEE
In this paper, we study the collision property of one of the robust hash functions proposed in [1]. This method was originally proposed for robust hash generation from blocks of i...
MVA
2000
13 years 9 months ago
2000
work, applies a nonlinear transformation from the input space to the hidden space. The output layer Partial face images, e.g.1 eyes, nose, and ear supplies the response of the netw...
JIPS
2006
13 years 7 months ago
2006
: This paper presents a feature selection technique based on distributional differences for efficient machine learning. Initial training data consists of data including many featur...
NPL
1998
13 years 7 months ago
1998
A new architecture and method for feature selection and extraction of logical rules from neural networks trained with backpropagation algorithm is presented. The network consists ...