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Toke Jansen Hansen

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2010 – 2019

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2014
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Toke Jansen Hansen, Michael W. Mahoney:
Semi-supervised eigenvectors for large-scale locally-biased learning. J. Mach. Learn. Res. 15(1): 3691-3734 (2014)
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Toke Jansen Hansen, Trine Julie Abrahamsen, Lars Kai Hansen:
Denoising by semi-supervised kernel PCA preimaging. Pattern Recognit. Lett. 49: 114-120 (2014)
2013
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Toke Jansen Hansen, Michael W. Mahoney:
Semi-supervised Eigenvectors for Large-scale Locally-biased Learning. CoRR abs/1304.7528 (2013)
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Bjarne Ørum Fruergaard, Toke Jansen Hansen, Lars Kai Hansen:
Dimensionality reduction for click-through rate prediction: Dense versus sparse representation. CoRR abs/1311.6976 (2013)
2012
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Toke Jansen Hansen, Michael W. Mahoney:
Semi-supervised Eigenvectors for Locally-biased Learning. NIPS 2012: 2537-2545
2011
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Toke Jansen Hansen, Trine Julie Abrahamsen, Lars Kai Hansen:
A randomized heuristic for kernel parameter selection with large-scale multi-class data. MLSP 2011: 1-6
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Toke Jansen Hansen, Morten Mørup, Lars Kai Hansen:
Non-parametric co-clustering of large scale sparse bipartite networks on the GPU. MLSP 2011: 1-6
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Toke Jansen Hansen, Lars Kai Hansen, Kristoffer Hougaard Madsen:
Decoding Complex Cognitive States Online by Manifold Regularization in Real-Time fMRI. MLINI 2011: 76-83

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