1012 search results - page 44 / 203 » A Learning Classifier Approach to Tomography |
86
Voted
IIS
2000
15 years 1 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...
95
Voted
ICDM
2010
IEEE
14 years 10 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...
102
Voted
CVPR
2006
IEEE
16 years 2 months 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...
104
Voted
CORR
2008
Springer
15 years 19 days 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
14 years 10 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...