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- Teemu Roos, Petri Myllymäki, Henry Tirri, Pauli Misikangas, Juha Sievänen
- IJWIN
- 2002

We estimate the location of a WLAN user based on radio signal strength measurements performed by the user’s mobile terminal. In our approach the physical properties of the signal propagation are not… (More)

- Tomi Silander, Petri Myllymäki
- UAI
- 2006

We study the problem of learning the best Bayesian network structure with respect to a decomposable score such as BDe, BIC or AIC. This problem is known to be NP-hard, which means that solving it… (More)

- Peter Grünwald, Jae Sung Myung, +5 authors Petri Kontkanen
- 2003

All rights reserved. No part of this book may be reproduced in any form by any electronic or mechanical means (including photocopying, recording, or information storage and retrieval) without… (More)

- Teemu Roos, Petri Myllymäki, Henry Tirri
- IEEE Trans. Mob. Comput.
- 2002

ÐSome location estimation methods, such as the GPS satellite navigation system, require nonstandard features either in the mobile terminal or the network. Solutions based on generic technologies not… (More)

- Petri Kontkanen, Petri Myllymäki
- Inf. Process. Lett.
- 2007

The minimum description length (MDL) principle is a theoretically well-founded, general framework for performing model class selection and other types of statistical inference. This framework can be… (More)

- Teemu Roos, Hannes Wettig, Peter Grünwald, Petri Myllymäki, Henry Tirri
- Machine Learning
- 2005

Discriminative learning of the parameters in the naive Bayes model is known to be equivalent to a logistic regression problem. Here we show that the same fact holds for much more general Bayesian… (More)

- Teemu Roos, Petri Myllymäki, Jorma Rissanen
- IEEE Transactions on Signal Processing
- 2009

We refine and extend an earlier minimum description length (MDL) denoising criterion for wavelet-based denoising. We start by showing that the denoising problem can be reformulated as a clustering… (More)

- Petri Kontkanen, Petri Myllymäki
- AISTATS
- 2007

We regard histogram density estimation as a model selection problem. Our approach is based on the information-theoretic minimum description length (MDL) principle, which can be applied for tasks such… (More)

- Petri Myllymäki, Tomi Silander, Henry Tirri, Pekka Uronen
- International Journal on Artificial Intelligence…
- 2002

B-Course is a free web-based online data analysis tool, which allows the users to analyze their data for multivariate probabilistic dependencies. These dependencies are represented as Bayesian… (More)