Sciweavers

ML
2015
ACM
9 years 10 months ago
Probabilistic clustering of time-evolving distance data
We present a novel probabilistic clustering model for objects that are represented via pairwise distances and observed at different time points. The proposed method utilizes the i...
Julia E. Vogt, Marius Kloft, Stefan Stark, Sudhir ...
ML
2015
ACM
9 years 10 months ago
Soft-max boosting
The standard multi-class classification risk, based on the binary loss, is rarely directly minimized. This is due to (i) the lack of convexity and (ii) the lack of smoothness (and...
Matthieu Geist
ML
2015
ACM
9 years 10 months ago
Random projections as regularizers: learning a linear discriminant from fewer observations than dimensions
We prove theoretical guarantees for an averaging-ensemble of randomly projected Fisher Linear Discriminant classifiers, focusing on the case when there are fewer training observat...
Robert J. Durrant, Ata Kabán
ML
2015
ACM
9 years 10 months ago
Asymptotic analysis of the learning curve for Gaussian process regression
Abstract This paper deals with the learning curve in a Gaussian process regression framework. The learning curve describes the generalization error of the Gaussian process used for...
Loic Le Gratiet, Josselin Garnier
ML
2015
ACM
9 years 10 months ago
Direct conditional probability density estimation with sparse feature selection
Regression is a fundamental problem in statistical data analysis, which aims at estimating the conditional mean of output given input. However, regression is not informative enoug...
Motoki Shiga, Voot Tangkaratt, Masashi Sugiyama
Machine Learning
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