Sciweavers

98
Voted
ML
2015
ACM
9 years 12 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
96
Voted
ML
2015
ACM
9 years 12 months ago
Greedy learning of latent tree models for multidimensional clustering
Tengfei Liu, Nevin Lianwen Zhang, Peixian Chen, Ap...
89
Voted
ML
2015
ACM
9 years 12 months ago
Unconfused ultraconservative multiclass algorithms
We tackle the problem of learning linear classifiers from noisy datasets in a multiclass setting. The two-class version of this problem was studied a few years ago by, e.g. Bylan...
Ugo Louche, Liva Ralaivola
87
Voted
ML
2015
ACM
9 years 12 months ago
The effect of splitting on random forests
Hemant Ishwaran
93
Voted
ML
2015
ACM
9 years 12 months ago
Unsupervised ensemble minority clustering
Cluster analysis lies at the core of most unsupervised learning tasks. However, the majority of clustering algorithms depend on the all-in assumption, in which all objects belong ...
Edgar González, Jordi Turmo