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Offline learning

In machine learning, systems which employ offline learning do not change their approximation of the target function when the initial training phase… 
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Papers overview

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2010
2010
Protocols such as TCP depend on loss detection and recovery algorithms to provide a reliable data delivery service. TCP detects… 
2008
2008
Content-based image retrieval (CBIR) has been an active research topic in the last decade. As one of the promising approaches… 
2008
2008
This paper presents an unsupervised learning approach to video-based face recognition that does not make any assumptions about… 
2006
2006
A multiagent reinforcement learning algorithm with fuzzy policy is addressed in this paper for dealing with the learning and… 
2002
2002
A new evolutionary computation method called genetic network programming (GNP) was proposed recently. In this paper, an online… 
Highly Cited
2001
Highly Cited
2001
To aid the development of the robotic soccer simulation league team RoboLog-2000, a method for the specification of multi-agent… 
2000
2000
Machine learning paradigms are generally separated into supervised learning and unsupervised learning. Both of these paradigms…