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Found 4 papers, 1 papers with code
Automatic Frankensteining: Creating Complex Ensembles Autonomously
Automating machine learning by providing techniques that autonomously find the best algorithm, hyperparameter configuration and preprocessing is helpful for both researchers and practitioners.
Bank Card Usage Prediction Exploiting Geolocation Information
We describe the solution of team ISMLL for the ECML-PKDD 2016 Discovery Challenge on Bank Card Usage for both tasks.
Scalable Hyperparameter Optimization with Products of Gaussian Process Experts
In this paper, we use products of Gaussian process experts as surrogate models for hyperparameter optimization.
Optimal Time-Series Motifs
We demonstrate that searching is non-optimal since the domain of motifs is restricted, and instead we propose a principled optimization approach able to find optimal motifs.
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