1514 search results - page 81 / 303 » Co-Tracking Using Semi-Supervised Support Vector Machines |
155
Voted
SCHOLARPEDIA
2008
15 years 1 months ago
2008
We present a novel method for clustering using the support vector machine approach. Data points are mapped to a high dimensional feature space, where support vectors are used to d...
108
Voted
CIRA
2007
IEEE
15 years 9 months ago
2007
IEEE
—Support vector regression (SVR) is a class of machine learning technique that has been successfully applied to low-level learning control in robotics. Because of the large amoun...
130
Voted
COMPLIFE
2006
Springer
15 years 6 months ago
2006
Springer
The ability to locate promoters within a section of DNA is known to be a very difficult and very important task in DNA analysis. We document an approach that incorporates the conce...
122
Voted
PRL
2006
15 years 2 months ago
2006
This paper presents a general method for incorporating prior knowledge into kernel methods such as Support Vector Machines. It applies when the prior knowledge can be formalized b...
114
Voted
AI
2009
Springer
15 years 6 months ago
2009
Springer
Abstract. Two novel Natural Language Processing (NLP) classification techniques are applied to the analysis of corporate annual reports in the task of financial forecasting. The ...