49
Voted
ML
2015
ACM
9 years 5 months ago
2015
ACM
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 ...
45
Voted
ML
2015
ACM
9 years 5 months ago
2015
ACM
59
Voted
ML
2015
ACM
9 years 5 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...
52
Voted
ML
2015
ACM
9 years 5 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...
47
Voted
ML
2015
ACM
9 years 5 months ago
2015
ACM
58
Voted
ML
2015
ACM
9 years 5 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...
36
Voted
ML
2015
ACM
9 years 5 months ago
2015
ACM
Abstract A multitude of different probabilistic programming languages exists today, all extending a traditional programming language with primitives to support modeling of complex...
49
Voted
ML
2015
ACM
9 years 5 months ago
2015
ACM
We present a Bayesian approach for making statistical inference about the accuracy (or any other score) of two competing algorithms which have been assessed via cross-validation on...
47
Voted
ML
2015
ACM
9 years 5 months ago
2015
ACM
Abstract. Probabilistic topic modeling of text collections is a powerful tool for statistical text analysis. Determining the optimal number of topics remains a challenging problem ...
55
Voted
ML
2015
ACM
9 years 5 months ago
2015
ACM
In recent years Predicate Invention has been underexplored within Inductive Logic Programming due to difficulties in formulating efficient search mechanisms. However, a recent p...