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» Pattern Recognition Using Functions of Multiple Instances
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MCS
2005
Springer
15 years 5 months ago
Between Two Extremes: Examining Decompositions of the Ensemble Objective Function
We study how the error of an ensemble regression estimator can be decomposed into two components: one accounting for the individual errors and the other accounting for the correlat...
Gavin Brown, Jeremy L. Wyatt, Ping Sun
COMBINATORICS
2004
86views more  COMBINATORICS 2004»
14 years 11 months ago
Multiple Pattern Avoidance with respect to Fixed Points and Excedances
We study the distribution of the statistics `number of fixed points' and `number of excedances' in permutations avoiding subsets of patterns of length 3. We solve all th...
Sergi Elizalde
AVBPA
2003
Springer
133views Biometrics» more  AVBPA 2003»
15 years 5 months ago
Visual Analysis of the Use of Mixture Covariance Matrices in Face Recognition
The quadratic discriminant (QD) classifier has proved to be simple and effective in many pattern recognition problems. However, it requires the computation of the inverse of the sa...
Carlos E. Thomaz, Duncan Fyfe Gillies
MCS
2009
Springer
15 years 6 months ago
When Semi-supervised Learning Meets Ensemble Learning
Abstract. Semi-supervised learning and ensemble learning are two important learning paradigms. The former attempts to achieve strong generalization by exploiting unlabeled data; th...
Zhi-Hua Zhou
99
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MCS
2000
Springer
15 years 3 months ago
A Hybrid Projection Based and Radial Basis Function Architecture
We introduce a mechanism for constructing and training a hybrid architecture of projection based units and radial basis functions. In particular, we introduce an optimization sche...
Shimon Cohen, Nathan Intrator