Person: Balázs Kégl

DBLP: K=eacute=gl:Bal=aacute=zs

Contributed to:

2013

2013

2012

2010

2009

2002

2002

2000

2000

1998

Wrote 11 papers:

ICML-c2-2013-BardenetBKS #collaboration

Collaborative hyperparameter tuning (RB, MB, BK, MS), pp. 199–207.

ICML-c3-2013-SzorenyiBHOJK #algorithm #distributed #probability

Gossip-based distributed stochastic bandit algorithms (BS, RBF, IH, RO, MJ, BK), pp. 19–27.

ICML-2012-Busa-FeketeBK #classification #graph #performance #using

Fast classification using sparse decision DAGs (RBF, DB, BK), p. 99.

ICML-2010-BardenetK #algorithm #optimisation

Surrogating the surrogate: accelerating Gaussian-process-based global optimization with a mixture cross-entropy algorithm (RB, BK), pp. 55–62.

ICML-2010-Busa-FeketeK #performance #using

Fast boosting using adversarial bandits (RBF, BK), pp. 143–150.

ICML-2009-KeglB #classification

Boosting products of base classifiers (BK, RBF), pp. 497–504.

ASE-2002-AzarPBKS #adaptation #algorithm #modelling #predict #quality #search-based

Combining and Adapting Software Quality Predictive Models by Genetic Algorithms (DA, DP, SB, BK, HAS), pp. 285–288.

ICSM-2002-BouktifSK #approach #modelling #predict #quality

Combining Software Quality Predictive Models: An Evolutionary Approach (SB, HAS, BK), pp. 385–392.

ICPR-v2-2000-KeglKN #classification #complexity #learning #network

Radial Basis Function Networks and Complexity Regularization in Function Learning and Classification (BK, AK, HN), pp. 2081–2086.

ICPR-v3-2000-KeglK #linear #using

Piecewise Linear Skeletonization Using Principal Curves (BK, AK), pp. 3135–3138.

ICPR-1998-KeglKN #classification #learning #network #parametricity

Radial basis function networks in nonparametric classification and function learning (BK, AK, HN), pp. 565–570.