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ML
2015
ACM
4 years 2 months ago
Probabilistic (logic) programming concepts
Abstract A multitude of different probabilistic programming languages exists today, all extending a traditional programming language with primitives to support modeling of complex...
Luc De Raedt, Angelika Kimmig
ML
2015
ACM
4 years 2 months ago
A Bayesian approach for comparing cross-validated algorithms on multiple data sets
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...
Giorgio Corani, Alessio Benavoli
ML
2015
ACM
4 years 2 months ago
Additive regularization of topic models
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 ...
Konstantin Vorontsov, Anna Potapenko
ML
2015
ACM
4 years 2 months ago
Meta-interpretive learning of higher-order dyadic datalog: predicate invention revisited
In recent years Predicate Invention has been underexplored within Inductive Logic Programming due to difficulties in formulating efficient search mechanisms. However, a recent p...
Stephen H. Muggleton, Dianhuan Lin, Alireza Tamadd...
ML
2016
ACM
4 years 3 months ago
Lifted generative learning of Markov logic networks
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 ...
Jan Van Haaren, Guy Van den Broeck, Wannes Meert, ...
ML
2016
ACM
4 years 3 months ago
Lower bounds on individual sequence regret
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,...
Eyal Gofer, Yishay Mansour
ML
2016
ACM
4 years 3 months ago
Multi-task seizure detection: addressing intra-patient variation in seizure morphologies
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...
Alexander Van Esbroeck, Landon Smith, Zeeshan Syed...
ML
2016
ACM
4 years 3 months ago
Spatio-temporal convolution kernels
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...
Konstantin Knauf, Daniel Memmert, Ulf Brefeld
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