18 citations · 19 across the 3 of their papers we have counts for
3 papers
Margin Maximization as Lossless Maximal Compression
Nikolaos Nikolaou, Henry Reeve, Gavin Brown
The ultimate goal of a supervised learning algorithm is to produce models constructed on the training data that can generalize well to new examples. In classification, functional m…
Better Boosting with Bandits for Online Learning
Nikolaos Nikolaou, Joseph Mellor, Nikunj C. Oza +1
Probability estimates generated by boosting ensembles are poorly calibrated because of the margin maximization nature of the algorithm. The outputs of the ensemble need to be prope…
Detrending Exoplanetary Transit Light Curves with Long Short-Term Memory Networks
Mario Morvan, Nikolaos Nikolaou, Angelos Tsiaras +1
The precise derivation of transit depths from transit light curves is a key component for measuring exoplanet transit spectra, and henceforth for the study of exoplanet atmospheres…