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Schleif, Frank-Michael
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Tiño, Peter
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Sparsification of core set models in non-metric supervised learning
(2020)
Schleif, Frank-Michael
;
Raab, Christoph
;
Tiño, Peter
Sparsification of Indefinite Learning Models
(2018)
Schleif, Frank-Michael
;
Raab, Christoph
;
Tiño, Peter
Large Scale Indefinite Kernel Fisher Discriminant
(2015)
Schleif, Frank-Michael
;
Gisbrecht, Andrej
;
Tiño, Peter
Finding Small Sets of Random Fourier Features for Shift-Invariant Kernel Approximation
(2016)
Schleif, Frank-Michael
;
Kabán, Ata
;
Tiño, Peter
Recent trends in learning of structured and non-standard data
(2014)
Schleif, Frank-Michael
;
Tiño, Peter
;
Villmann, Thomas
Probabilistic Classification Vector Machine at large scale
(2015)
Schleif, Frank-Michael
;
Gisbrecht, Andrej
;
Tiño, Peter
Learning in indefinite proximity spaces - recent trends
(2016)
Schleif, Frank-Michael
;
Tiño, Peter
;
Liang, Yingyu
Supervised low rank indefinite kernel approximation using minimum enclosing balls
(2018)
Schleif, Frank-Michael
;
Gisbrecht, Andrej
;
Tiño, Peter
Indefinite Core Vector Machine
(2017)
Schleif, Frank-Michael
;
Tiño, Peter
Incremental probabilistic classification vector machine with linear costs
(2015)
Schleif, Frank-Michael
;
Chen, H.
;
Tiño, Peter
Indefinite Proximity Learning: A Review
(2015)
Schleif, Frank-Michael
;
Tiño, Peter
Novel approaches in machine learning and computational intelligence
(2013)
Micheli, Alessio
;
Schleif, Frank-Michael
;
Tiño, Peter
Tracy
(2005)
Braun, Peter
;
Müller, Ingo
;
Schlegel, Tino
;
Kern, Steen
;
Schau, Volkmar
;
Rossak, Wilhelm
Towards autonomous mobile agents with emergent migration behaviour
(2006)
Braun, Peter
;
Schlegel, Tino
;
Kowalczyk, Ryszard
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