1012 search results - page 44 / 203 » A Learning Classifier Approach to Tomography |
IIS
2000
13 years 11 months ago
2000
Machine learning methods are frequently used to create rule-based classifiers. For continuous features linguistic variables used in conditions of the rules are defined by membershi...
ICDM
2010
IEEE
13 years 8 months ago
2010
IEEE
The prevailing approach to evaluating classifiers in the machine learning community involves comparing the performance of several algorithms over a series of usually unrelated data...
CVPR
2006
IEEE
15 years 5 hour ago
2006
IEEE
Ensemble methods such as bootstrap, bagging or boosting have had a considerable impact on recent developments in machine learning, pattern recognition and computer vision. Theoret...
CORR
2008
Springer
13 years 10 months ago
2008
Springer
: Boosting is a general method for improving the accuracy of any given learning algorithm. In this paper we employ combination of Adaboost with Support Vector Machine (SVM) as comp...
ICPR
2010
IEEE
13 years 8 months ago
2010
IEEE
Most enterprise data is distributed in multiple relational databases with expert-designed schema. Using traditional single-table machine learning techniques over such data not onl...