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Welcome to my website. My name is Daniel Schmidt and I am a Research Fellow with the Department of Computer Science and Software Engineering at Monash University. My main research interests are statistics and in particular, Minimum Encoding methods for statistical inference.

Publications

Journals:

"Fast Computation of the Kullback-Leibler Divergence and Exact Fisher Information Matrix for the First-Order Moving Average Model", E.Makalic and D.F.Schmidt, IEEE Signal Processing Letters, to appear.

"Universal Models for the Exponential Distribution", D.F.Schmidt and E.Makalic, IEEE Transactions on Information Theory, Vol. 55, No. 7, pp. 3087-3090, 2009.

"Minimum Message Length Shrinkage Estimation", E.Makalic and D.F.Schmidt, Statistics & Probability Letters, Vol. 79, No. 9, pp. 1155-1161, 2009.

Technical Reports:

"Shrinkage and Denoising by Minimum Message Length", D.F.Schmidt and E.Makalic, Clayton School of Information Technology, Monash University, Technical Report 2008/230, 2008

"Minimum Message Length Shrinkage Estimation", E.Makalic and D.F.Schmidt, Clayton School of Information Technology, Monash University, Technical Report 2008/229, 2008

"MMLD Inference of the Poisson and Geometric Models", D.F.Schmidt and E.Makalic, Clayton School of Information Technology, Monash University, Technical Report 2008/220, 2008

"Minimum Message Length Inference and Parameter Estimation of Autoregressive and Moving Average Models", D.F.Schmidt, Clayton School of Information Technology, Monash University, Technical Report 2006/206, 2007

"Efficient Linear Regression by Minimum Message Length", E.Makalic and D.F.Schmidt, Clayton School of Information Technology, Monash University, Technical Report 2006/201

Conferences/Workshops:

"MML Invariant Linear Regression", D.F.Schmidt and E. Makalic, The 22nd Australasian Joint Proceedings of the 22nd Australasian Joint Conference on Artificial Intelligence (AI-09), Melbourne, Australia, pp 312-321, 2009

"Spatial Processes for Recommender Systems", F.Bohnert, D.F.Schmidt and I.Zukerman, Proceedings of the 21st International Joint Conference on Artificial Intelligence (IJCAI-09), Pasadena, CD, USA, pp 2022-2027, 2009

"Using Gaussian Spatial Processes to Model and Predict Interests in Museum Exhibits", F.Bohnert, I.Zukerman and D.F.Schmidt, Proceedings of the Seventh Workshop on Intelligent Techniques for Web Personalization and Recommender Systems (ITWP-09), held in conjunction with the 21st International Joint Conference on Artificial Intelligence (IJCAI-09), Pasadena, CD, USA, pp 13-19, 2009

"Adaptive Control of a Hydraulic System with MML Inferred RBF Networks", D.F.Schmidt, A.P.Paplinski and G.S.Lowe, Proceedings of the 2005 IEEE International Conference on Robotics and Automation (ICRA 2005), Barcelona, Spain, IEEE, pp 2379-2385

"On the Design of a Hydraulically Actuated Finger For Dextrous Manipulation", D.F.Schmidt, A.P.Paplinski and G.S.Lowe, Proceedings of the 2004 IEEE International Conference on Robotics and Automation (IEEE ICRA-2004), New Orleans, LA, USA, 26 April - 1 May 2004, IEEE, USA, pp 1239-1244

Talks and Presentations:

"The Minimum Message Length Principle for Inductive Inference", D.F.Schmidt, Helsinki University, September 2009 (video available here)

"Model Selection Tutorial #1: Akaike’s Information Criterion", D.F.Schmidt and E.Makalic, Monash University, December 2008

On the right you can see some lovely countryside just outside Freiburg, Baden, Germany.

If you wish to contact me, my details are:

Position: Research Fellow
Campus, Building, Room: Clayton, 63, 214
Phone (internal): 95 555
Phone (external): (03) 9905 9555
Email: Daniel dot Schmidt [at] infotech dot monash dot edu dot au






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