Hello

My name is Erik Nijkamp and I am a machine learning enthusiast. I like to spend most of the time cracking tough problems.

If you think I can help you in your projects, just let me know!

Blog

I also write about some thoughts I have, most of them about coding.

Last Post 21 Nov 2011

Get a taste of Stanford: Online lectures 2012

Here’s the latest from Stanford. Anyone who has listened to the initial three courses (Database System, Machine Learning and Artificial Intelligence) surely has enjoyed their quality and will enlist again. They are back with an incredible list of free interactive video lectures on machine-learning.

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Publications

A Graph-based Bayesian Approach to Structural Inference in GUIs.

Erik Nijkamp, Klaus-Robert Müller, Sebastian Möller (To be published)

Large-scale matrix factorization with distributed stochastic gradient descent.

Rainer Gemulla, Erik Nijkamp, Peter J. Haas, Yannis Sismanis (ACM KDD 2011: 69-77)

MapReduce and PACT - Comparing Data Parallel Programming Models.

A. Alexandrov, S. Ewen, M. Heimel, F. Hueske, O. Kao, V. Markl, E. Nijkamp, D. Warneke (BTW 2011: 25-44)

Massively Parallel Data Analysis with PACTs on Nephele.

A. Alexandrov, D. Battré, S. Ewen, M. Heimel, F. Hueske, O. Kao, V. Markl, Erik Nijkamp, D. Warneke (PVLDB 3(2): 1625-1628)

BinRank: Scaling Dynamic Authority-Based Search Using Materialized Subgraphs.

Heasoo Hwang, Andrey Balmin, Berthold Reinwald, Erik Nijkamp (IEEE Trans. Knowl. Data Eng. 22(8): 1176-1190)

Value Demonstration of Embedded Analytics for Front Office Applications.

Erik Nijkamp, Martin Oberhofer, Albert Maier (BTW 2009: 624-627)

BinRank: Scaling Dynamic Authority-Based Search Using Materialized SubGraphs.

Heasoo Hwang, Andrey Balmin, Berthold Reinwald, Erik Nijkamp (ICDE 2009: 66-77)

DBPubs: Multidimensional exploration of database publications.

Akanksha Baid, Andrey Balmin, Heasoo Hwang, Erik Nijkamp, Jun Rao, Berthold Reinwald, Alkis Simitsis, Yannis Sismanis, Frank van Ham (PVLDB 2008 1 (2): 1456-1459)