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ACML
2009
Springer
14 years 3 months ago
Conditional Density Estimation with Class Probability Estimators
Many regression schemes deliver a point estimate only, but often it is useful or even essential to quantify the uncertainty inherent in a prediction. If a conditional density estim...
Eibe Frank, Remco R. Bouckaert
ACML
2009
Springer
14 years 3 months ago
Robust Discriminant Analysis Based on Nonparametric Maximum Entropy
In this paper, we propose a Robust Discriminant Analysis based on maximum entropy (MaxEnt) criterion (MaxEnt-RDA), which is derived from a nonparametric estimate of Renyi’s quadr...
Ran He, Bao-Gang Hu, Xiaotong Yuan
ACML
2009
Springer
14 years 3 months ago
Linear Time Model Selection for Mixture of Heterogeneous Components
Abstract: Our main contribution is to propose a novel model selection methodology, expectation minimization of information criterion (EMIC). EMIC makes a significant impact on the...
Ryohei Fujimaki, Satoshi Morinaga, Michinari Momma...
ACML
2009
Springer
14 years 3 months ago
Coupled Metric Learning for Face Recognition with Degraded Images
Real-world face recognition systems are sometimes confronted with degraded face images, e.g., low-resolution, blurred, and noisy ones. Traditional two-step methods have limited per...
Bo Li, Hong Chang, Shiguang Shan, Xilin Chen
ACML
2009
Springer
14 years 1 months ago
Improving Adaptive Bagging Methods for Evolving Data Streams
We propose two new improvements for bagging methods on evolving data streams. Recently, two new variants of Bagging were proposed: ADWIN Bagging and Adaptive-Size Hoeffding Tree (...
Albert Bifet, Geoffrey Holmes, Bernhard Pfahringer...