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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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Related topics

Related topics

8 relations
BackpropagationEager learningLearning classifier systemOnline algorithm

Broader (1)

Machine learning

Papers overview

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2015
2015
Algorithm BOSS (Bag-of-Salient local Spectrums) for non-rigid and partial 3D object retrieval
2010
2010
Experiences with discriminating TCP loss using K-Means clustering
Protocols such as TCP depend on loss detection and recovery algorithms to provide a reliable data delivery service. TCP detects… 
2008
2008
Multilabel Neighborhood Propagation for Region-Based Image Retrieval
Content-based image retrieval (CBIR) has been an active research topic in the last decade. As one of the promising approaches… 
2008
2008
Unsupervised learning from local features for video-based face recognition
This paper presents an unsupervised learning approach to video-based face recognition that does not make any assumptions about… 
2006
2006
A Multiagent Fuzzy Policy Reinforcement Learning Algorithm with Application to Leader-Follower Robotic Systems
A multiagent reinforcement learning algorithm with fuzzy policy is addressed in this paper for dealing with the learning and… 
2005
2005
Neuro-controller for reducing cyclic variation in lean combustion spark ignition engines
2002
2002
Online learning of genetic network programming (GNP)
A new evolutionary computation method called genetic network programming (GNP) was proposed recently. In this paper, an online… 
Highly Cited
2001
Highly Cited
2001
Specifying Rational Agents with Statecharts and Utility Functions
To aid the development of the robotic soccer simulation league team RoboLog-2000, a method for the specification of multi-agent… 
2000
2000
Interactive and Incremental Learning via a Mixture of Supervised and Unsupervised Learning Strategies
Machine learning paradigms are generally separated into supervised learning and unsupervised learning. Both of these paradigms… 
1997
1997
Stable Manipulator Trajectory Control Using Neural Networks
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