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» Measuring Complexity of Intelligent Machines
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SAC
2008
ACM
13 years 6 months ago
An efficient feature ranking measure for text categorization
A major obstacle that decreases the performance of text classifiers is the extremely high dimensionality of text data. To reduce the dimension, a number of approaches based on rou...
Songbo Tan, Yuefen Wang, Xueqi Cheng
ICRA
2008
IEEE
106views Robotics» more  ICRA 2008»
14 years 1 months ago
A vision-based computed torque control for parallel kinematic machines
— In this paper, a novel approach for parallel kinematic machine control relying on a fast exteroceptive measure is implemented and validated on the Orthoglide robot. This approa...
Flavien Paccot, Philippe Lemoine, Nicolas Andreff,...
ICPR
2002
IEEE
14 years 8 months ago
Object Detection in Images: Run-Time Complexity and Parameter Selection of Support Vector Machines
In this paper we address two aspects related to the exploitation of Support Vector Machines (SVM) for classification in real application domains, such as the detection of objects ...
Nicola Ancona, Grazia Cicirelli, Ettore Stella, Ar...
AUSAI
2006
Springer
13 years 11 months ago
Beyond Accuracy, F-Score and ROC: A Family of Discriminant Measures for Performance Evaluation
Different evaluation measures assess different characteristics of machine learning algorithms. The empirical evaluation of algorithms and classifiers is a matter of on-going debat...
Marina Sokolova, Nathalie Japkowicz, Stan Szpakowi...
EWCBR
2004
Springer
14 years 24 days ago
Exploiting Background Knowledge when Learning Similarity Measures
The definition of similarity measures—one core component of every CBR application—leads to a serious knowledge acquisition problem if domain and application specific requirem...
Thomas Gabel, Armin Stahl