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ECML
2001
Springer
14 years 6 days ago
Classification on Data with Biased Class Distribution
Labeled data for classification could often be obtained by sampling that restricts or favors choice of certain classes. A classifier trained using such data will be biased, resulti...
Slobodan Vucetic, Zoran Obradovic
USENIX
2000
13 years 9 months ago
Distributed Computing: Moving from CGI to CORBA
In this paper, we document the evolution of a banner ad delivery system from a simple CGI script written in Perl running on a single host into a distributed computing application ...
James FitzGibbon, Tim Strike
PARA
2000
Springer
13 years 11 months ago
Experiments in Separating Computational Algorithm from Program Distribution and Communication
Our proposal has the following key features: 1) The separation of a distributed program into a pure algorithm (PurAl) and a distribution/communication declaration (DUAL). This yie...
Raphael B. Yehezkael, Yair Wiseman, H. G. Mendelba...
CIMAGING
2008
104views Hardware» more  CIMAGING 2008»
13 years 9 months ago
MCMC curve sampling and geometric conditional simulation
We present an algorithm to generate samples from probability distributions on the space of curves. Traditional curve evolution methods use gradient descent to find a local minimum...
Ayres C. Fan, John W. Fisher III, Jonathan Kane, A...
ISBI
2007
IEEE
14 years 2 months ago
Dicovery of "biomarkers" for Alzheimer's Disease Prediction from Structural MR Images
We propose a computational framework for learning predictive image features as “biomarkers” for Alzheimer’s Disease discrimination using high-resolutionMagnetic Resonance (M...
Yanxi Liu, Leonid Teverovskiy, Oscar L. Lopez, How...