Petri Koistinen
Title
Cited by
Cited by
Year
Using additive noise in back-propagation training
L Holmstrom, P Koistinen
Neural Networks, IEEE Transactions on 3 (1), 24-38, 1992
4301992
Statistical inversion for medical x-ray tomography with few radiographs: I. General theory
S Siltanen, V Kolehmainen, S Järvenpää, JP Kaipio, P Koistinen, ...
Physics in medicine and biology 48 (10), 1437, 2003
1892003
Neural and statistical classifiers-taxonomy and two case studies
L Holmstrom, P Koistinen, J Laaksonen, E Oja
Neural Networks, IEEE Transactions on 8 (1), 5-17, 1997
1821997
Statistical inversion for medical x-ray tomography with few radiographs: II. Application to dental radiology
V Kolehmainen, S Siltanen, S Järvenpää, JP Kaipio, P Koistinen, ...
Physics in Medicine and Biology 48 (10), 1465, 2003
1312003
Kernel regression and backpropagation training with noise.
P Koistinen, L Holmstrom
641992
Kernel regression and backpropagation training with noise
P Koistinen, L Holmstrom
Neural Networks, 1991. 1991 IEEE International Joint Conference on, 367-372, 1991
641991
Bayesian adaptive Markov chain Monte Carlo estimation of genetic parameters
B Mathew, AM Bauer, P Koistinen, TC Reetz, J Léon, MJ Sillanpää
Heredity 109 (4), 235-245, 2012
302012
Comparison of neural and statistical classifiers--theory and practice
L Holmström, P Koistinen, J Laaksonen, E Oja
Research Reports A13, Rolf Nevanlinna Institute, 1996
241996
Pattern recognition
L Holmström, P Koistinen
Wiley Interdisciplinary Reviews: Computational Statistics 2 (4), 404-413, 2010
22*2010
Viewing solid models by bintree conversion
P Koistinen, M Tamminen, H Samet
Proc Eurographics 85 conf. North-Holland, 147-157, 1985
91985
Smoothing methodology for predicting regional averages in multi-source forest inventory
P Koistinen, L Holmström, E Tomppo
Remote Sensing of Environment 112 (3), 862-871, 2008
82008
Neural network and statistical perspectives of classification
L Holmstrom, P Koistinen, J Laaksonen, E Oja
Pattern Recognition, 1996., Proceedings of the 13th International Conference …, 1996
81996
Asymptotic theory for regularization: One-dimensional linear case
P Koistinen
Advances in Neural Information Processing Systems, 294-300, 1998
61998
Electromagnetic scattering model for forest remote sensing
LM Zurk, P Koistinen, J Sarvas, L Holmström
Rolf Nevanlinna Inst., Helsinki, Finland, Research Rep. A 38, 2001
52001
Classification of unaveraged evoked cortical magnetic fields
L Holmström, P Koistinen, RJ Ilmoniemi
Rolf Nevanlinna Inst., University of Helsinki, 1989
41989
Using smoothing to reconstruct the Holocene temperature in Lapland
L Holmström, P Erästö, P Koistinen, J Weckström, A Korhola
Computing Science and Statistics 32, 425-437, 2000
22000
Monte Carlo Methods, with an emphasis on Bayesian computation Summer 2010
P Koistinen
12010
Convergence of minimization estimators trained under additive noise
P Koistinen
Rolf Nevanlinna Institute, 1995
11995
Unsupervised formation of feature detectors using residual inputs
P Koistinen
ICANN’93, 219-223, 1993
11993
Unsupervised formation of feature detectors through residual data clustering
P Koistinen
Finnish Artificial Intelligence Society, Helsinki, Finland, 1993
1*1993
The system can't perform the operation now. Try again later.
Articles 1–20