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» Classification of Spreadsheet Errors
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135
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ICML
2006
IEEE
16 years 5 months ago
Efficient lazy elimination for averaged one-dependence estimators
Semi-naive Bayesian classifiers seek to retain the numerous strengths of naive Bayes while reducing error by weakening the attribute independence assumption. Backwards Sequential ...
Fei Zheng, Geoffrey I. Webb
144
Voted
MCS
2010
Springer
15 years 6 months ago
A Multi-Classifier System for Off-Line Signature Verification Based on Dissimilarity Representation
Abstract. Although widely used to reduce error rates of difficult pattern recognition problems, multiple classifier systems are not in widespread use in off-line signature verifica...
Luana Batista, Eric Granger, Robert Sabourin
141
Voted
ML
2002
ACM
141views Machine Learning» more  ML 2002»
15 years 4 months ago
On the Existence of Linear Weak Learners and Applications to Boosting
We consider the existence of a linear weak learner for boosting algorithms. A weak learner for binary classification problems is required to achieve a weighted empirical error on t...
Shie Mannor, Ron Meir
SIAMNUM
2010
131views more  SIAMNUM 2010»
14 years 11 months ago
A Rational Interpolation Scheme with Superpolynomial Rate of Convergence
The purpose of this study is to construct a high-order interpolation scheme for arbitrary scattered datasets. The resulting function approximation is an interpolation function when...
Qiqi Wang, Parviz Moin, Gianluca Iaccarino
ICCV
2009
IEEE
16 years 9 months ago
Stabilizing Motion Tracking Using Retrieved Motion Priors
In this paper, we introduce a novel iterative motion tracking framework that combines 3D tracking techniques with motion retrieval for stabilizing markerless human motion captur...
Andreas Baak, Bodo Rosenhahn, Meinard Muller, Hans...