80
Voted
ML
2015
ACM
9 years 12 months ago
2015
ACM
101
Voted
ML
2015
ACM
9 years 12 months ago
2015
ACM
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...
103
Voted
ML
2015
ACM
9 years 12 months ago
2015
ACM
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...
76
Voted
ML
2015
ACM
9 years 12 months ago
2015
ACM
97
Voted
ML
2015
ACM
9 years 12 months ago
2015
ACM
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...