PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

EPrints submitted by Jaakko Peltonen

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Number of EPrints submitted by this user: 30

Sequential information bottleneck for finite data
Jaakko Peltonen, Janne Sinkkonen and Samuel Kaski
In: ICML 2004, 4-8 Jul 2004, Banff, Canada.

Improved learning of Riemannian metrics for exploratory analysis
Jaakko Peltonen, Arto Klami and Samuel Kaski
Neural Networks Volume 17, Number 8-9, pp. 1087-1100, 2004.

Discriminative components of data
Jaakko Peltonen and Samuel Kaski
IEEE Transactions on Neural Networks Volume 16, Number 1, pp. 68-83, 2005. ISSN 1045-9227

Fast discriminative component analysis for comparing examples
Jaakko Peltonen, Jacob Goldberger and Samuel Kaski
In: Learning to Compare Examples - NIPS 2006 Workshop, 8 Dec 2006, Whistler, Canada.

Learning when only some of the training data are from the same distribution as test data
Jaakko Peltonen and Samuel Kaski
In: Learning when test and training inputs have different distributions - NIPS 2006 workshop, 9 Dec 2006, Whistler, Canada.

Estimation of human endogenous retrovirus activities from expressed sequence databases
Merja Oja, Jaakko Peltonen and Samuel Kaski
In: Probabilistic Modeling and Machine Learning in Structural and Systems Biology (PMSB 2006), 17-18 Jun 2006, Tuusula, Finland.

Fast Semi-supervised Discriminative Component Analysis
Jaakko Peltonen, Jacob Goldberger and Samuel Kaski
In: 2007 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2007), 27-29 Aug 2007, Thessaloniki, Greece.

Learning from Relevant Tasks Only
Samuel Kaski and Jaakko Peltonen
In: 18th European Conference on Machine Learning (ECML 2007), 17-21 Sep 2007, Warsaw, Poland.

Methods for estimating human endogenous retrovirus activities from EST databases
Merja Oja, Jaakko Peltonen, Jonas Blomberg and Samuel Kaski
BMC Bioinformatics Volume 8, Number Suppl 2, S11, 2007.

Estimating human endogeneous retrovirus activities in various tissues with a hidden Markov mixture model
Merja Oja, Jaakko Peltonen, Jonas Blomberg and Samuel Kaski
In: Intelligent Systems for Molecular Biology & European Conference on Computational Biology 2007 (ISMB/ECCB 2007), 21-25 Jul 2007, Vienna, Austria.

A hidden Markov model for estimating retrovirus activities from expressed sequence databases
Merja Oja, Jaakko Peltonen and Samuel Kaski
In: 5th European Conference on Computational Biology (ECCB 2006), 21-24 Jan 2007, Eilat, Israel.

Variational Bayes learning from relevant tasks only
Jaakko Peltonen, Yusuf Yaslan and Samuel Kaski
In: NIPS 2008 Learning from Multiple Sources Workshop, 13 Dec 2008, Whistler, Canada.

Supervised nonlinear dimensionality reduction by neighbor retrieval
Jaakko Peltonen, Helena Aidos and Samuel Kaski
In: IEEE 2009 International Conference on Acoustics, Speech, and Signal Processing (ICASSP 2009), 19-24 Apr 2009, Taipei, Taiwan.

Visualization by linear projections as information retrieval
Jaakko Peltonen
In: WSOM 2009, 7th International Workshop on Self-Organizing Maps, 8-10 Jun 2009, St. Augustine, Florida, USA.

Visualizations for assessing convergence and mixing of Markov chain Monte Carlo simulations
Jaakko Peltonen, Jarkko Venna and Samuel Kaski
Computational Statistics and Data Analysis 2009.

Relevant subtask learning by constrained mixture models
Jaakko Peltonen, Yusuf Yaslan and Samuel Kaski
Intelligent Data Analysis 2009.

Information retrieval perspective to nonlinear dimensionality reduction for data visualization
Jarkko Venna, Jaakko Peltonen, Kristian Nybo, Helena Aidos and Samuel Kaski
Journal of Machine Learning Research 2010.

An information retrieval perspective on visualization of gene expression data with ontological annotation
Jaakko Peltonen, Helena Aidos, Nils Gehlenborg, Alvis Brazma and Samuel Kaski
In: ICASSP 2010, the 2010 IEEE International Conference on Acoustics, Speech and Signal Processing, 14-19 Mar 2010, Dallas, USA.

Latent state models of primary user behavior for opportunistic spectrum access
Joni Pajarinen, Jaakko Peltonen, Mikko A. Uusitalo and Ari Hottinen
In: PIMRC'09, the IEEE International Symposium on Personal, Indoor and Mobile Radio Communications, 13-16 Sep 2009, Tokyo, Japan.

Efficient planning in large POMDPs through policy graph based factorized approximations
Joni Pajarinen, Jaakko Peltonen, Ari Hottinen and Mikko A. Uusitalo
In: ECML PKDD 2010, the European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 20-24 Sept 2010, Barcelona, Spain.

Dimensionality reduction for data visualization
Samuel Kaski and Jaakko Peltonen
IEEE Signal Processing Magazine Volume 28, Number 2, pp. 100-104, 2011.

Periodic finite state controllers for efficient POMDP and DEC-POMDP planning
Joni Pajarinen and Jaakko Peltonen
In: NIPS 2011, The Twenty-Fifth Annual Conference on Neural Information Processing Systems, 12-15 Dec 2011, Granada, Spain.

Focused multi-task learning using Gaussian processes
Gayle Leen, Jaakko Peltonen and Samuel Kaski
In: ECML PKDD 2011, European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases, 5-9 Sep 2011, Athens, Greece.

Efficient planning for factored infinite-horizon DEC-POMDPs
Joni Pajarinen and Jaakko Peltonen
In: IJCAI-2011, The Twenty-second International Joint Conference on Artificial Intelligence, 16-22 Jul 2011, Barcelona, Spain.

Generative modeling for maximizing precision and recall in information visualization
Jaakko Peltonen and Samuel Kaski
In: AISTATS 2011, The Fourteenth International Conference on Artificial Intelligence and Statistics, 11-13 Apr 2011, Fort Lauderdale, USA.

Sparse nonparametric topic model for transfer learning
Ali Faisal, Jussi Gillberg, Jaakko Peltonen, Gayle Leen and Samuel Kaski
In: ESANN2012, 20th European Symposium on Artificial Neural Networks, 25-27 Apr 2012, Bruges, Belgium.

Efficient optimization for data visualization as an information retrieval task
Jaakko Peltonen and Konstantinos Georgatzis
In: MLSP 2012, the 2012 IEEE International Workshop on Machine Learning for Signal Processing, 23-26 Sep 2012, Santander, Spain.

Transfer learning using a nonparametric sparse topic model
Ali Faisal, Jussi Gillberg, Gayle Leen and Jaakko Peltonen
Neurocomputing Volume to appear, 2012.

Focused multi-task learning in a Gaussian process framework
Gayle Leen, Jaakko Peltonen and Samuel Kaski
Machine Learning Volume 89, Number 1-2, pp. 157-182, 2012.

Scalable optimization of neighbor embedding for visualization
Zhirong Yang, Jaakko Peltonen and Samuel Kaski
In: ICML 2013, International Conference on Machine Learning, 16-21 Jun 2013, Atlanta, USA.