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» On learning algorithm selection for classification
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75
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ICML
2006
IEEE
16 years 1 months ago
Data association for topic intensity tracking
We present a unified model of what was traditionally viewed as two separate tasks: data association and intensity tracking of multiple topics over time. In the data association pa...
Andreas Krause, Jure Leskovec, Carlos Guestrin
85
Voted
NOSSDAV
2009
Springer
15 years 7 months ago
Rapid identification of Skype traffic flows
In this paper we present results of experimental work using machine learning techniques to rapidly identify Skype traffic. We show that Skype traffic can be identified by observin...
Philip Branch, Amiel Heyde, Grenville J. Armitage
135
Voted
ICCV
2009
IEEE
14 years 10 months ago
Image annotation using multi-label correlated Green's function
Image annotation has been an active research topic in the recent years due to its potentially large impact on both image understanding and web/database image search. In this paper...
Hua Wang, Heng Huang, Chris H. Q. Ding
138
Voted
JCIT
2010
148views more  JCIT 2010»
14 years 7 months ago
Investigating the Performance of Naive- Bayes Classifiers and K- Nearest Neighbor Classifiers
Probability theory is the framework for making decision under uncertainty. In classification, Bayes' rule is used to calculate the probabilities of the classes and it is a bi...
Mohammed J. Islam, Q. M. Jonathan Wu, Majid Ahmadi...
117
Voted
GECCO
2003
Springer
128views Optimization» more  GECCO 2003»
15 years 6 months ago
Learning Biped Locomotion from First Principles on a Simulated Humanoid Robot Using Linear Genetic Programming
We describe the first instance of an approach for control programming of humanoid robots, based on evolution as the main adaptation mechanism. In an attempt to overcome some of th...
Krister Wolff, Peter Nordin