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126
Voted
ML
2015
ACM
10 years 1 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
10 years 1 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
10 years 1 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 ...
121
Voted
ML
2015
ACM
10 years 1 months ago
Linearized alternating direction method with parallel splitting and adaptive penalty for separable convex programs in machine le
Many problems in statistics and machine learning (e.g., probabilistic graphical model, feature extraction, clustering and classification, etc) can be (re)formulated as linearly c...
Zhouchen Lin, Risheng Liu, Huan Li
Machine Learning
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