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» Structure learning of Bayesian networks using constraints
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ICWL
2009
Springer
15 years 10 months ago
Enhancing the Social Capital of Learning Communities by Using an Ad Hoc Transient Communities Service
In online learning, communities can help to enhance learning. However, because of the dynamic nature of communities, attaining and sustaining these communities can be difficult. On...
Sibren Fetter, Adriana J. Berlanga, Peter B. Sloep
NIPS
2000
15 years 5 months ago
Feature Correspondence: A Markov Chain Monte Carlo Approach
When trying to recover 3D structure from a set of images, the most di cult problem is establishing the correspondence between the measurements. Most existing approaches assume tha...
Frank Dellaert, Steven M. Seitz, Sebastian Thrun, ...
118
Voted
CORR
2010
Springer
108views Education» more  CORR 2010»
15 years 4 months ago
An Analysis of Transaction and Joint-patent Application Networks
Many firms these days, forced by increasing international competition and an unstable economy, are opting to specialize rather than generalize as a way of maintaining their compet...
Hiroyasu Inoue
139
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WAPCV
2004
Springer
15 years 9 months ago
Learning of Position-Invariant Object Representation Across Attention Shifts
Abstract. Selective attention shift can help neural networks learn invariance. We describe a method that can produce a network with invariance to changes in visual input caused by ...
Muhua Li, James J. Clark
ECRIME
2007
15 years 8 months ago
A comparison of machine learning techniques for phishing detection
There are many applications available for phishing detection. However, unlike predicting spam, there are only few studies that compare machine learning techniques in predicting ph...
Saeed Abu-Nimeh, Dario Nappa, Xinlei Wang, Suku Na...