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PAKDD
2000
ACM
161views Data Mining» more  PAKDD 2000»
13 years 11 months ago
Adaptive Boosting for Spatial Functions with Unstable Driving Attributes
Combining multiple global models (e.g. back-propagation based neural networks) is an effective technique for improving classification accuracy by reducing a variance through manipu...
Aleksandar Lazarevic, Tim Fiez, Zoran Obradovic
CLEF
2010
Springer
13 years 8 months ago
Detection of Visual Concepts and Annotation of Images Using Predictive Clustering Trees
Abstract. In this paper, we present a multiple targets classification system for visual concepts detection and image annotation. Multiple targets classification (MTC) is a variant ...
Ivica Dimitrovski, Dragi Kocev, Suzana Loskovska, ...
ICRA
1994
IEEE
99views Robotics» more  ICRA 1994»
13 years 11 months ago
An Optimal Sonar Array for Target Localization and Classification
A novel sonar array for mobile robots is presented with applications to localization and mapping of indoor environments. The ultrasonic sensor localizes and classifies multiple ta...
Lindsay Kleeman, Roman Kuc
HICSS
2007
IEEE
117views Biometrics» more  HICSS 2007»
14 years 1 months ago
A Cluster-based Approach to Filtering Spam under Skewed Class Distributions
The purpose of this research is to propose an appropriate classification approach to improving the effectiveness of spam filtering on the issue of skewed class distributions. A cl...
Wen-Feng Hsiao, Te-Ming Chang, Guo-Hsin Hu
GECCO
2009
Springer
109views Optimization» more  GECCO 2009»
14 years 3 days ago
A genetic algorithm for learning significant phrase patterns in radiology reports
Radiologists disagree with each other over the characteristics and features of what constitutes a normal mammogram and the terminology to use in the associated radiology report. R...
Robert M. Patton, Thomas E. Potok, Barbara G. Beck...