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ML
2015
ACM
9 years 8 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 8 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 8 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
ML
2015
ACM
9 years 8 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
ML
2015
ACM
9 years 8 months ago
Greedy learning of latent tree models for multidimensional clustering
Tengfei Liu, Nevin Lianwen Zhang, Peixian Chen, Ap...
Machine Learning
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