Search results for "Tapani Raiko"

Hits ?▲	Authors	Title	Venue	Year	Link
1	Tapani Raiko, Harri Valpola, Yann LeCun	Deep Learning Made Easier by Linear Transformations in Perceptrons.	Journal of Machine Learning Research - Proceedings Track	2012	DBLP BibTeX RDF
1	Jaakko Peltonen, Tapani Raiko, Samuel Kaski	Machine learning for signal processing 2010.	Neurocomputing	2012	DBLP DOI BibTeX RDF
1	Ulpu Remes, Kalle J. Palomäki, Tapani Raiko, Antti Honkela, Mikko Kurimo	Missing-Feature Reconstruction With a Bounded Nonlinear State-Space Model.	IEEE Signal Process. Lett.	2011	DBLP DOI BibTeX RDF
1	Luc De Raedt, Kristian Kersting, Tapani Raiko	Logical Hidden Markov Models	CoRR	2011	DBLP BibTeX RDF
1	KyungHyun Cho, Alexander Ilin, Tapani Raiko	Improved Learning of Gaussian-Bernoulli Restricted Boltzmann Machines.	ICANN	2011	DBLP DOI BibTeX RDF
1	KyungHyun Cho, Tapani Raiko, Alexander Ilin	Enhanced Gradient and Adaptive Learning Rate for Training Restricted Boltzmann Machines.	ICML	2011	DBLP BibTeX RDF
1	Alexander Ilin, Tapani Raiko	Practical Approaches to Principal Component Analysis in the Presence of Missing Values.	Journal of Machine Learning Research	2010	DBLP BibTeX RDF
1	Antti Honkela, Tapani Raiko, Mikael Kuusela, Matti Tornio, Juha Karhunen	Approximate Riemannian Conjugate Gradient Learning for Fixed-Form Variational Bayes.	Journal of Machine Learning Research	2010	DBLP BibTeX RDF
1	Dusan Sovilj, Tapani Raiko, Erkki Oja	Extending Self-Organizing Maps with uncertainty information of probabilistic PCA.	IJCNN	2010	DBLP DOI BibTeX RDF
1	KyungHyun Cho, Tapani Raiko, Alexander Ilin	Parallel tempering is efficient for learning restricted Boltzmann machines.	IJCNN	2010	DBLP DOI BibTeX RDF
1	Tapani Raiko, Matti Tornio	Variational Bayesian learning of nonlinear hidden state-space models for model predictive control.	Neurocomputing	2009	DBLP DOI BibTeX RDF
1	Jaakko Luttinen, Alexander Ilin, Tapani Raiko	Transformations for variational factor analysis to speed up learning.	ESANN	2009	DBLP BibTeX RDF
1	Mikael Kuusela, Tapani Raiko, Antti Honkela, Juha Karhunen	A gradient-based algorithm competitive with variational Bayesian EM for mixture of Gaussians.	IJCNN	2009	DBLP DOI BibTeX RDF
1	Tapani Raiko, Harri Valpola, Markus Harva, Juha Karhunen	Building Blocks for Variational Bayesian Learning of Latent Variable Models.	Journal of Machine Learning Research	2007	DBLP BibTeX RDF
1	Tapani Raiko, Alexander Ilin, Juha Karhunen	Principal Component Analysis for Large Scale Problems with Lots of Missing Values.	ECML	2007	DBLP DOI BibTeX RDF
1	Antti Honkela, Matti Tornio, Tapani Raiko, Juha Karhunen	Natural Conjugate Gradient in Variational Inference.	ICONIP	2007	DBLP DOI BibTeX RDF
1	Tapani Raiko, Alexander Ilin, Juha Karhunen	Principal Component Analysis for Sparse High-Dimensional Data.	ICONIP	2007	DBLP DOI BibTeX RDF
1	Kristian Kersting, Luc De Raedt, Tapani Raiko	Logical Hidden Markov Models.	J. Artif. Intell. Res. (JAIR)	2006	DBLP DOI BibTeX RDF
1	Tapani Raiko, Matti Tornio, Antti Honkela, Juha Karhunen	State Inference in Variational Bayesian Nonlinear State-Space Models.	ICA	2006	DBLP DOI BibTeX RDF
1	Tapani Raiko	Nonlinear Relational Markov Networks with an Application to the Game of Go.	ICANN	2005	DBLP DOI BibTeX RDF
1	Kristian Kersting, Tapani Raiko	"Say EM" for Selecting Probabilistic Models for Logical Sequences.	UAI	2005	DBLP BibTeX RDF
1	Markus Harva, Tapani Raiko, Antti Honkela, Harri Valpola, Juha Karhunen	Bayes Blocks: An Implementation of the Variational Bayesian Building Blocks Framework.	UAI	2005	DBLP BibTeX RDF
1	Kristian Kersting, Tapani Raiko, Stefan Kramer, Luc De Raedt	Towards Discovering Structural Signatures of Protein Folds Based on Logical Hidden Markov Models.	Pacific Symposium on Biocomputing	2003	DBLP BibTeX RDF
1	Kristian Kersting, Tapani Raiko, Luc De Raedt	Logical Hidden Markov Models (Extendes abstract).	Probabilistic Graphical Models	2002	DBLP BibTeX RDF

Publications of "Tapani Raiko" ( http://dblp.L3S.de/Authors/Tapani_Raiko )