PASCAL - Pattern Analysis, Statistical Modelling and Computational Learning

Service message: Final deadline 28 February 2013. On this date the website will be frozen and no further changes to accounts or reports will be possible. All itemised accounting and end of year request reporting must be complete by this date.

Finance message: All spending should now be complete.

PASCAL Network

Full NameTapani Raiko
TitleDr
SiteUniversity of Aalto
StatusResearcher
Tel+358 9 451 4468
Fax
WWWwww.cis.hut.fi/praiko

Research Interests
Computational, Information-Theoretic Learning with Statistics
Learning/Statistics & Optimisation
Theory & Algorithms
Machine Vision
Speech
Natural Language Processing
Publications

Number of records: 45.

A Gradient-Based Algorithm Competitive with Variational Bayesian EM for Mixture of Gaussians Mikael Kuusela, Tapani Raiko, Antti Honkela and Juha Karhunen Conference or Workshop Item Item availablity restricted. (June 2009)
A Two-stage Pretraining Algorithm for Deep Boltzmann Machines KyungHyun Cho, Tapani Raiko, Alexander Ilin and Juha Karhunen Conference or Workshop Item Item not available online. (08 December 2012)
Approximate Riemannian conjugate gradient learning for fixed-form variational Bayes Antti Honkela, Tapani Raiko, Mikael Kuusela, Matti Tornio and Juha Karhunen Article (November 2010)
Bayes Blocks: A Python Toolbox for Variational Bayesian Learning Antti Honkela, Markus Harva, Tapani Raiko, Harri Valpola and Juha Karhunen Conference or Workshop Item (09 December 2006)
Bayes Blocks: A Python Toolbox for Variational Bayesian Learning Antti Honkela, Markus Harva, Tapani Raiko, Harri Valpola and Juha Karhunen Conference or Workshop Item (2006)
Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework Markus Harva, Tapani Raiko, Antti Honkela, Harri Valpola and Juha Karhunen Conference or Workshop Item (July 2005)
Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework Markus Harva, Tapani Raiko, Antti Honkela, Harri Valpola and Juha Karhunen Conference or Workshop Item Item availablity restricted. (26 July 2005)
Bayesian Inference in Nonlinear and Relational Latent Variable Models Tapani Raiko Thesis (01 December 2006)
Binary Principal Component Analysis in the Netflix Collaborative Filtering Task Laszlo Kozma, Alexander Ilin and Tapani Raiko Conference or Workshop Item (02 September 2009)
Binary Principal Component Analysis in the Netflix Collaborative Filtering Task Laszlo Kozma, Alexander Ilin and Tapani Raiko Conference or Workshop Item Item not available online. (02 September 2009)
Building Blocks for Variational Bayesian Learning of Latent Variable Models Tapani Raiko, Harri Valpola, Markus Harva and Juha Karhunen Article (January 2007)
Controlling Self-Organization and Handling Missing Values in SOM and GTM Tommi Vatanen, Ilari T. Nieminen, Timo Honkela, Tapani Raiko and Krista Lagus Conference or Workshop Item Item not available online. (December 2012)
Deep learning made easier by linear transformations in perceptrons Tapani Raiko, Harri Valpola and Yann LeCun Conference or Workshop Item Item not available online. (21 April 2012)
Enhanced Gradient and Adaptive Learning Rate for Training Restricted Boltzmann Machines KyungHyun Cho, Tapani Raiko and Alexander Ilin Conference or Workshop Item Item not available online. (June 2011)
Gated Boltzmann Machine in Texture Modeling Tele Hao, Tapani Raiko, Alexander Ilin and Juha Karhunen Conference or Workshop Item Item not available online. (11 September 2012)
Higher order statistics in play-out analysis Tapani Raiko Conference or Workshop Item (25 October 2006)
Higher Order Statistics in Play-out Analysis Tapani Raiko Conference or Workshop Item (August 2007)
Hybrid Bilinear and Trilinear Models for Exploratory Analysis of Three-Way Poisson Counts Juha Raitio, Tapani Raiko and Timo Honkela Conference or Workshop Item Item not available online. (11 September 2012)
Improved Learning of Gaussian-Bernoulli Restricted Boltzmann Machines KyungHyun Cho, Alexander Ilin and Tapani Raiko Conference or Workshop Item Item not available online. (June 2011)
Learning Deep Belief Networks from Non-Stationary Streams Roberto Calandra, Tapani Raiko, Federico Montesino Pouzols and Mark P. Deisenroth Conference or Workshop Item Item not available online. (11 September 2012)
Learning Nonlinear State-Space Models for Control Tapani Raiko and Matti Tornio Conference or Workshop Item Item availablity restricted. (31 July 2005)
Macadamia: Master's programme in machine learning and data mining Tapani Raiko, Kai Puolamäki, Juha Karhunen, Jaakko Hollmen, Antti Honkela, Heikki Mannila, Erkki Oja and Olli Simula Article (2008)
Missing-Feature Reconstruction with a Bounded Nonlinear State-Space Model Ulpu Remes, Kalle Palomäki, Tapani Raiko, Antti Honkela and Mikko Kurimo Article Item not available online. (October 2011)
Missing-Feature Reconstruction With a Bounded Nonlinear State-Space Model Ulpu Remes, Kalle Palomäki, Tapani Raiko, Antti Honkela and Mikko Kurimo Article Item not available online. (October 2011)
Natural Conjugate Gradient in Variational Inference Antti Honkela, Matti Tornio, Tapani Raiko and Juha Karhunen Conference or Workshop Item (2008)
Natural Conjugate Gradient in Variational Inference Antti Honkela, Matti Tornio, Tapani Raiko and Juha Karhunen Conference or Workshop Item Item availablity restricted. (29 June 2008)
Nonlinear Relational Markov Networks with an Application to the Game of Go Tapani Raiko Conference or Workshop Item Item availablity restricted. (11 September 2005)
Oscillatory Neural Network for Image Segmentation with Biased Competition for Attention Tapani Raiko and Harri Valpola Book Section Item not available online. (2011)
Practical Approaches to Principal Component Analysis in the Presence of Missing Values Alexander Ilin and Tapani Raiko Monograph (June 2008)
Practical Approaches to Principal Component Analysis in the Presence of Missing Values Alexander Ilin and Tapani Raiko Article Item not available online. (July 2010)
Principal Component Analysis for Large Scale Problems with Lots of Missing Values Tapani Raiko, Alexander Ilin and Juha Karhunen Conference or Workshop Item (September 2007)
Principal Component Analysis for Sparse High-Dimensional Data Tapani Raiko, Alexander Ilin and Juha Karhunen Conference or Workshop Item (2008)
Semi-Supervised Anomaly Detection - Towards Model-Independent Searches of New Physics Mikael Kuusela, Eric Malmi, Risto Orava, Tapani Raiko and Tommi Vatanen Article Item not available online. (March 2012)
Semi-Supervised Detection of Collective Anomalies with an Application in High Energy Particle Physics Tommi Vatanen, Mikael Kuusela, Eric Malmi, Tapani Raiko, Timo Aaltonen and Y. Nagai Conference or Workshop Item Item not available online. (11 June 2012)
State Inference in Variational Bayesian Nonlinear State-Space Models Tapani Raiko, Matti Tornio, Antti Honkela and Juha Karhunen Conference or Workshop Item (05 March 2006)
State Inference in Variational Bayesian Nonlinear State-Space Models Tapani Raiko, Matti Tornio, Antti Honkela and Juha Karhunen Conference or Workshop Item Item availablity restricted. (2006)
Sudoku ihmisen ja koneen ratkaisemana Tapani Raiko Article Item not available online. (February 2009)
Tikhonov-Type Regularization for Restricted Boltzmann Machines KyungHyun Cho, Alexander Ilin and Tapani Raiko Conference or Workshop Item Item not available online. (11 September 2012)
Towards Generalizing the Success of Monte-Carlo Tree Search beyond the Game of Go Antonio Gusmao and Tapani Raiko Conference or Workshop Item Item not available online. (27 August 2012)
Transformations for Variational Factor Analysis to Speed up Learning Jaakko Luttinen, Alexander Ilin and Tapani Raiko Conference or Workshop Item (April 2009)
Variational Bayes for Continuous-Time Nonlinear State-Space Models Antti Honkela, Matti Tornio and Tapani Raiko Conference or Workshop Item (09 December 2006)
Variational Bayes for Continuous-Time Nonlinear State-Space Models Antti Honkela, Matti Tornio and Tapani Raiko Conference or Workshop Item (2006)
Variational Bayesian Approach for Nonlinear Identification and Control Matti Tornio and Tapani Raiko Conference or Workshop Item (09 October 2006)
Variational Bayesian learning of nonlinear hidden state-space models for model predictive control Tapani Raiko and Matti Tornio Article Item not available online. (October 2009)
Variational inference and learning for continuous-time nonlinear state-space models Antti Honkela, Markus Harva, Tapani Raiko and Juha Karhunen Conference or Workshop Item (27 May 2008)

This list was generated on Fri May 24 03:34:49 BST 2013.