ML
2015
ACM
8 years 8 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...
ML
2015
ACM
8 years 8 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...
ML
2015
ACM
8 years 8 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 ...
ML
2015
ACM
8 years 8 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...
ML
2015
ACM
8 years 8 months ago
2015
ACM
ML
2015
ACM
8 years 8 months ago
2015
ACM
ML
2016
ACM
8 years 8 months ago
2016
ACM
Markov logic networks (MLNs) are a well-known statistical relational learning formalism that combines Markov networks with first-order logic. MLNs attach weights to formulas in ...
ML
2016
ACM
8 years 8 months ago
2016
ACM
Abstract. In this work, we lower bound the individual sequence anytime regret of a large family of online algorithms. This bound depends on the quadratic variation of the sequence,...
ML
2016
ACM
8 years 8 months ago
2016
ACM
Abstract The accurate and early detection of epileptic seizures in continuous electroencephalographic (EEG) data has a growing role in the management of patients with epilepsy. Ear...
ML
2016
ACM
8 years 8 months ago
2016
ACM
We propose a novel class of kernels to identify tactical patterns in multi-trajectory data such as soccer games. Formally, we introduce a group of R-convolution kernels called Spa...