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CORR
2010
Springer
80views Education» more  CORR 2010»
13 years 7 months ago
Multi-path Probabilistic Available Bandwidth Estimation through Bayesian Active Learning
Knowing the largest rate at which data can be sent on an end-to-end path such that the egress rate is equal to the ingress rate with high probability can be very practical when ch...
Frederic Thouin, Mark Coates, Michael Rabbat
NN
2002
Springer
125views Neural Networks» more  NN 2002»
13 years 7 months ago
Generalized relevance learning vector quantization
We propose a new scheme for enlarging generalized learning vector quantization (GLVQ) with weighting factors for the input dimensions. The factors allow an appropriate scaling of ...
Barbara Hammer, Thomas Villmann
ICASSP
2011
IEEE
12 years 11 months ago
Similarity learning for semi-supervised multi-class boosting
In semi-supervised classification boosting, a similarity measure is demanded in order to measure the distance between samples (both labeled and unlabeled). However, most of the e...
Q. Y. Wang, Pong Chi Yuen, Guo-Can Feng
AGILEDC
2007
IEEE
14 years 2 months ago
Agile Program Management: Lessons Learned from the VeriSign Managed Security Services Team
This report examines how the VeriSign Managed Security Services team (MSS) has successfully extended agile software development practices to deal with a complex, multi-product dev...
Peter Hodgkins, Luke Hohmann
AUSAI
2006
Springer
13 years 11 months ago
Lazy Learning for Improving Ranking of Decision Trees
Decision tree-based probability estimation has received great attention because accurate probability estimation can possibly improve classification accuracy and probability-based r...
Han Liang, Yuhong Yan