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» A Graph Based Data Model for Graphics Interpretation
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115
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EDM
2008
127views Data Mining» more  EDM 2008»
15 years 5 months ago
Adaptive Test Design with a Naive Bayes Framework
Bayesian graphical models are commonly used to build student models from data. A number of standard algorithms are available to train Bayesian models from student skills assessment...
Michel C. Desmarais, Alejandro Villarreal, Michel ...
129
Voted
KDD
2002
ACM
118views Data Mining» more  KDD 2002»
16 years 4 months ago
SECRET: a scalable linear regression tree algorithm
Recently there has been an increasing interest in developing regression models for large datasets that are both accurate and easy to interpret. Regressors that have these properti...
Alin Dobra, Johannes Gehrke
150
Voted
BMCBI
2007
160views more  BMCBI 2007»
15 years 3 months ago
Identifying protein complexes directly from high-throughput TAP data with Markov random fields
Background: Predicting protein complexes from experimental data remains a challenge due to limited resolution and stochastic errors of high-throughput methods. Current algorithms ...
Wasinee Rungsarityotin, Roland Krause, Arno Sch&ou...
175
Voted
CANS
2006
Springer
136views Cryptology» more  CANS 2006»
15 years 7 months ago
Watermarking Essential Data Structures for Copyright Protection
Software watermarking is a new research area that aims at providing copyright protection for commercial software. It minimizes software piracy by hiding copyright signatures inside...
Qutaiba Albluwi, Ibrahim Kamel
122
Voted
CHI
2007
ACM
16 years 4 months ago
A minimal model for predicting visual search in human-computer interaction
Visual search is an important part of human-computer interaction. It is critical that we build theory about how people visually search displays in order to better support the user...
Tim Halverson, Anthony J. Hornof