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CORR
2006
Springer
143views Education» more  CORR 2006»
13 years 10 months ago
Revealing the Autonomous System Taxonomy: The Machine Learning Approach
Although the Internet AS-level topology has been extensively studied over the past few years, little is known about the details of the AS taxonomy. An AS "node" can repre...
Xenofontas A. Dimitropoulos, Dmitri V. Krioukov, G...
IJVR
2008
118views more  IJVR 2008»
13 years 10 months ago
Use of Technology Enhanced Education to Improve Teaching and Learning Process
The modern world continues to change as Information Technology (IT) related applications proceed to evolve at a rapid pace. The need for IT continues to grow as we begin to meaning...
Daniela Marghitu, Elizabeth Zylla-Jones, Santosh B...
FUIN
2002
123views more  FUIN 2002»
13 years 10 months ago
Learning Rough Set Classifiers from Gene Expressions and Clinical Data
Biological research is currently undergoing a revolution. With the advent of microarray technology the behavior of thousands of genes can be measured simultaneously. This capabilit...
Herman Midelfart, Henryk Jan Komorowski, Kristin N...
CVPR
2009
IEEE
1081views Computer Vision» more  CVPR 2009»
15 years 5 months ago
Learning Real-Time MRF Inference for Image Denoising
Many computer vision problems can be formulated in a Bayesian framework with Markov Random Field (MRF) or Conditional Random Field (CRF) priors. Usually, the model assumes that ...
Adrian Barbu (Florida State University)
CHI
2009
ACM
14 years 10 months ago
Out from behind the curtain: learning from a human auditory display
In this paper we describe an approach to gathering design requirements for a software auditory display by analyzing user interactions with an ideal partner: a talking human contro...
Peter Parente, Gary Bishop