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» Network Structuring and Training Using Rule-Based Knowledge
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MICCAI
2007
Springer
15 years 10 months ago
Prior Knowledge Driven Multiscale Segmentation of Brain MRI
We present a novel automatic multiscale algorithm applied to segmentation of anatomical structures in brain MRI. The algorithm which is derived from algebraic multigrid, uses a gra...
Ayelet Akselrod-Ballin, Meirav Galun, Moshe John G...
IDA
2008
Springer
14 years 9 months ago
Estimating the depth of anesthesia using fuzzy soft computation applied to EEG features
Estimating the depth of anesthesia (DOA) is still a challenging area in anesthesia research. The objective of this study was to design a fuzzy rule based system which integrates el...
V. Esmaeili, Amin Assareh, M. B. Shamsollahi, Moha...
EDBT
2010
ACM
180views Database» more  EDBT 2010»
15 years 1 months ago
k-symmetry model for identity anonymization in social networks
With more and more social network data being released, protecting the sensitive information within social networks from leakage has become an important concern of publishers. Adve...
Wentao Wu, Yanghua Xiao, Wei Wang, Zhenying He, Zh...
IJPRAI
2002
93views more  IJPRAI 2002»
14 years 9 months ago
Improving Stability of Decision Trees
Decision-tree algorithms are known to be unstable: small variations in the training set can result in different trees and different predictions for the same validation examples. B...
Mark Last, Oded Maimon, Einat Minkov
SDM
2008
SIAM
138views Data Mining» more  SDM 2008»
14 years 11 months ago
Learning Markov Network Structure using Few Independence Tests
In this paper we present the Dynamic Grow-Shrink Inference-based Markov network learning algorithm (abbreviated DGSIMN), which improves on GSIMN, the state-ofthe-art algorithm for...
Parichey Gandhi, Facundo Bromberg, Dimitris Margar...