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ISCI
2008
95views more  ISCI 2008»
13 years 10 months ago
Modified constrained learning algorithms incorporating additional functional constraints into neural networks
In this paper, two modified constrained learning algorithms are proposed to obtain better generalization performance and faster convergence rate. The additional cost terms of the ...
Fei Han, Qing-Hua Ling, De-Shuang Huang
TIP
2008
185views more  TIP 2008»
13 years 10 months ago
Active Learning Methods for Interactive Image Retrieval
Active learning methods have been considered with increased interest in the statistical learning community. Initially developed within a classification framework, a lot of extensio...
Philippe Henri Gosselin, Matthieu Cord
JCAMD
2010
82views more  JCAMD 2010»
13 years 9 months ago
Making priors a priority
When we build a predictive model of a drug property we rigorously assess its predictive accuracy, but we are rarely able to address the most important question, “How useful will...
Matthew Segall, Andrew Chadwick
CIKM
2010
Springer
13 years 8 months ago
Combining link and content for collective active learning
In this paper, we study a novel problem Collective Active Learning, in which we aim to select a batch set of "informative" instances from a networking data set to query ...
Lixin Shi, Yuhang Zhao, Jie Tang
IWCMC
2010
ACM
13 years 8 months ago
High performance modified DSR routing protocol for WLAN mesh networks
This work presents a cross-layer modification to the DSR protocol which discovers high throughput paths on multi-hop wireless mesh networks. The modified DSR incorporates a metric...
Mustafa Ramadhan, Mark Davis