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ESANN
2006
13 years 6 months ago
Margin based Active Learning for LVQ Networks
In this article, we extend a local prototype-based learning model by active learning, which gives the learner the capability to select training samples during the model adaptation...
Frank-Michael Schleif, Barbara Hammer, Thomas Vill...
ECRTS
2004
IEEE
13 years 9 months ago
Improved Prediction for Web Server Delay Control
Control methods are being used increasingly for uncertainty management and QoS in modern web server systems. Previous approaches have suggested combined feedforward and feedback c...
Dan Henriksson, Ying Lu 0002, Tarek F. Abdelzaher
ICML
2007
IEEE
14 years 6 months ago
An integrated approach to feature invention and model construction for drug activity prediction
We present a new machine learning approach for 3D-QSAR, the task of predicting binding affinities of molecules to target proteins based on 3D structure. Our approach predicts bind...
David Page, Jesse Davis, Soumya Ray, Vítor ...
JVCIR
2006
140views more  JVCIR 2006»
13 years 5 months ago
Improved H.264 rate control by enhanced MAD-based frame complexity prediction
This paper presents a revised rate control scheme based on an improved frame complexity measure. Rate control adopted by both MPEG-4 VM18 and H.264/AVC use a quadratic rate-distor...
Xiaoquan Yi, Nam Ling
ICCS
2007
Springer
13 years 11 months ago
Active Learning with Support Vector Machines for Tornado Prediction
In this paper, active learning with support vector machines (SVMs) is applied to the problem of tornado prediction. This method is used to predict which storm-scale circulations yi...
Theodore B. Trafalis, Indra Adrianto, Michael B. R...