23 search results - page 1 / 5 » An Empirical Comparison of Pattern Recognition, Neural Nets,... |
IJCAI
1989
13 years 6 months ago
1989
Classification methods from statistical pattern recognition, neural nets, and machine learning were applied to four real-world data sets. Each of these data sets has been previous...
Book
This book covers several topics such as Classification, Classical Statistical Methods, Modern Statistical Techniques, Machine Learning of Rules and Trees, Neural Networks
Methods ...
ICML
2006
IEEE
14 years 5 months ago
2006
IEEE
A number of supervised learning methods have been introduced in the last decade. Unfortunately, the last comprehensive empirical evaluation of supervised learning was the Statlog ...
BIBM
2008
IEEE
13 years 11 months ago
2008
IEEE
Protein fold recognition is the prediction of protein’s tertiary structure (Fold) given the protein’s sequence without relying on sequence similarity. Using machine learning t...
IJCNN
2000
IEEE
13 years 9 months ago
2000
IEEE
In the field of pattern recognition, the combination of an ensemble of neural networks has been proposed as an approach to the development of high performance image classification...