1323 search results - page 9 / 265 » Feature Extraction for Machine Learning: Logic-Probabilistic... |
NN
2006
Springer
13 years 8 months ago
2006
Springer
In a number of engineering problems, e.g. in geotechnics, petroleum engineering, etc. intervals of measured series data (signals) are to be attributed a class maintaining the cons...
ECAI
2006
Springer
14 years 11 days ago
2006
Springer
Abstract. Machine learning approaches in natural language processing often require a large annotated corpus. We present a complementary approach that utilizes expert knowledge to o...
CIKM
2005
Springer
14 years 2 months ago
2005
Springer
This paper describes a framework for defining domain specific Feature Functions in a user friendly form to be used in a Maximum Entropy Markov Model (MEMM) for the Named Entity Re...
CVPR
2010
IEEE
13 years 9 months ago
2010
IEEE
Learning a generative model of natural images is a useful way of extracting features that capture interesting regularities. Previous work on learning such models has focused on me...
CVPR
2009
IEEE
15 years 3 months ago
2009
IEEE
In this paper we present a method for learning classspecific
features for recognition. Recently a greedy layerwise
procedure was proposed to initialize weights of deep
belief ne...