dhr. P. (Peter) Bloem MSc
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Faculteit der Natuurwetenschappen, Wiskunde en Informatica
IVI
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POSTBUS
94323
1090 GH Amsterdam
Kamernummer: C3.136A
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P.Bloem@uva.nl
2014
- P. Bloem, A. Wibisono & G.K.D. de Vries (2014). Simplifying RDF data for graph-based machine learning. In H Paulheim, J Völker, J Lehmann, H Sack & V Svatek (Eds.), Proceedings of the 3rd Workshop on Knowledge Discovery and Data Mining Meets Linked Open Data (Know@LOD 2014).
- P. Bloem, G.K.D. de Vries, A. Wibisono, P. Groth, A.S.Z. Belloum & M.T. Bubak (2014). Generating scientific documentation for computational experiments using provenance. In 5th International Provenance and Annotation Workshop. Springer.
- P. Bloem, F. Mota, S. de Rooij, L. Antunes & P.W. Adriaans (2014). A safe approximation for Kolmogorov complexity. In P. Auer, A. Clark, T. Zeugman & S. Zilles (Eds.), Algorithmic learning theory: 25th International Conference, ALT 2014, Bled, Slovenia, October 8-10, 2014: proceedings (pp. 336-350). Cham: Springer.[go to publisher's site]
- P. Bloem & G.K.D. de Vries (2014). Machine Learning on Linked Data, a Position Paper. In I. Tiddi, M. d' Aquin & N. Jat (Eds.), Linked Data for Knowledge Discovery (pp. 69-73).
2013
- P. Bloem (2013). Compression-based inference on graph data. In A. van den Bosch, T. Heskes & D. van Leeuwen (Eds.), BENELEARN 2013: Proceedings of the 22nd Belgian-Dutch Conference on Machine Learning (pp. 26-33). Nijmegen: Raboud University Nijmegen.[go to publisher's site]
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