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» Toward a Value Framework for Online Learning Systems
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JAIR
2002
163views more  JAIR 2002»
13 years 8 months ago
Efficient Reinforcement Learning Using Recursive Least-Squares Methods
The recursive least-squares (RLS) algorithm is one of the most well-known algorithms used in adaptive filtering, system identification and adaptive control. Its popularity is main...
Xin Xu, Hangen He, Dewen Hu
NN
2002
Springer
123views Neural Networks» more  NN 2002»
13 years 8 months ago
Neuromodulation and plasticity in an autonomous robot
In this paper we implement a computational model of a neuromodulatory system in an autonomous robot. The output of the neuromodulatory system acts as a value signal, modulating wi...
Olaf Sporns, William H. Alexander
GRC
2007
IEEE
14 years 2 months ago
Towards Mobile Internet: Location Privacy Threats and Granular Computation Challenges
The bulk of contents out on the Internet continue to grow at an astounding pace. As computing and communications become ubiquitous, we are entering the Mobile Internet Computing e...
Ling Liu
WWW
2009
ACM
14 years 9 months ago
Learning to recognize reliable users and content in social media with coupled mutual reinforcement
Community Question Answering (CQA) has emerged as a popular forum for users to pose questions for other users to answer. Over the last few years, CQA portals such as Naver and Yah...
Jiang Bian, Yandong Liu, Ding Zhou, Eugene Agichte...
ICDE
2010
IEEE
292views Database» more  ICDE 2010»
14 years 8 months ago
Usher: Improving Data Quality With Dynamic Forms
Data quality is a critical problem in modern databases. Data entry forms present the first and arguably best opportunity for detecting and mitigating errors, but there has been li...
Kuang Chen, Harr Chen, Neil Conway, Joseph M. Hell...