B. Kégl

Publications147
h-index39
Citations8,511
Highly Influential Citations541
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Algorithms for Hyper-Parameter Optimization
TLDR
We present hyper-parameter optimization results on tasks of training neural networks and deep belief networks using random search and two new greedy sequential methods based on expected improvement criterion. Expand
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Learning and Design of Principal Curves
TLDR
We define principal curves as continuous curves of a given length which minimize the expected squared distance between the curve and points of the space randomly chosen according to a given distribution. Expand
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Aggregate features and ADABOOST for music classification
TLDR
We present an algorithm that predicts musical genre and artist from a set of audio features that have been extracted from segmented audio and then aggregated. Expand
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Collaborative hyperparameter tuning
TLDR
We present SCoT, a surrogate-based optimization algorithm for hyperparameter tuning. Expand
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Correlation of the highest-energy cosmic rays with the positions of nearby active galactic nuclei
Data collected by the Pierre Auger Observatory provide evidence for anisotropy in the arrival directions of the cosmic rays with the highest-energies, which are correlated with the positions of… Expand
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The Pierre Auger Cosmic Ray Observatory
The Pierre Auger Observatory, located on a vast, high plain in western Argentina, is the world's largest cosmic ray observatory. The objectives of the Observatory are to probe the origin and… Expand
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Correlation of the highest-energy cosmic rays with nearby extragalactic objects.
Using data collected at the Pierre Auger Observatory during the past 3.7 years, we demonstrated a correlation between the arrival directions of cosmic rays with energy above 6 x 10(19) electron volts… Expand
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Piecewise Linear Skeletonization Using Principal Curves
TLDR
Proposes an algorithm to find piecewise linear skeletons of handwritten characters by using principal curves. Expand
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Principal curves: learning, design, and applications
The subjects of this thesis are unsupervised learning in general, and principal curves in particular. Principal curves were originally defined by Hastie [Has84] and Hastie and Stuetzle [HS89]… Expand
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Observation of the suppression of the flux of cosmic rays above 4 x 10 (19) eV.
The energy spectrum of cosmic rays above 2.5 x 10;{18} eV, derived from 20,000 events recorded at the Pierre Auger Observatory, is described. The spectral index gamma of the particle flux, J… Expand
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