10594 search results - page 154 / 2119 » Learning classifier systems |
106
Voted
ICDM
2010
IEEE
14 years 12 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...
153
Voted
ACCV
2007
Springer
15 years 6 months ago
2007
Springer
We develop a method that can detect humans in a single image based on a new cascaded structure. In our approach, both the rectangle features and 1-D edge-orientation features are e...
100
click to vote
AAAI
2006
15 years 3 months ago
2006
In this paper we propose a very simple, yet general and effective method to make any cost-insensitive classifiers (that can produce probability estimates) cost-sensitive. The meth...
117
Voted
CORR
2008
Springer
15 years 2 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...
106
click to vote
ICPR
2010
IEEE
14 years 12 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...