3 papers
stat.ML2020
Joint Optimization of an Autoencoder for Clustering and Embedding
Ahcène Boubekki, Michael Kampffmeyer, Robert Jenssen +1
Deep embedded clustering has become a dominating approach to unsupervised categorization of objects with deep neural networks. The optimization of the most popular methods alternat…
stat.AP2019
Evaluating one-shot tournament predictions
Claus Thorn Ekstrøm, Hans Van Eetvelde, Christophe Ley +1
We introduce the Tournament Rank Probability Score (TRPS) as a measure to evaluate and compare pre-tournament predictions, where predictions of the full tournament results are requ…
stat.ML2017
Infinite Mixture Model of Markov Chains
Jan Reubold, Thorsten Strufe, Ulf Brefeld
We propose a Bayesian nonparametric mixture model for prediction- and information extraction tasks with an efficient inference scheme. It models categorical-valued time series that…