Lasse Holmström
Cited by
Cited by
Using additive noise in back-propagation training
L Holmstrom, P Koistinen
IEEE transactions on neural networks 3 (1), 24-38, 1992
A quantitative Holocene climatic record from diatoms in northern Fennoscandia
A Korhola, J Weckström, L Holmström, P Erästö
Quaternary research 54 (2), 284-294, 2000
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
A statistical analysis of multiple temperature proxies: Are reconstructions of surface temperatures over the last 1000 years reliable?
BB McShane, AJ Wyner
The Annals of Applied Statistics, 5-44, 2011
Temperature patterns over the past eight centuries in Northern Fennoscandia inferred from sedimentary diatoms
J Weckström, A Korhola, P Erästö, L Holmström
Quaternary Research 66 (1), 78-86, 2006
Bayesian multiscale smoothing for making inferences about features in scatterplots
P Erästö, L Holmström
Journal of Computational and Graphical Statistics 14 (3), 569-589, 2005
A new multivariate technique for top quark search
L Holmström, SR Sain, HE Miettinen
Computer physics communications 88 (2-3), 195-210, 1995
Kernel regression and backpropagation training with noise
P Koistinen, L Holmstrom
Neural Networks, 1991. 1991 IEEE International Joint Conference on, 367-372 …, 1991
Piecewise quadric blending of implicitly defined surfaces
L Holmström
Computer Aided Geometric Design 4 (3), 171-189, 1987
Asymptotic bounds for the expected L1 error of a multivariate kernel density estimator
L Holmstrom, J Klemela
Journal of multivariate analysis 42 (2), 245-266, 1992
Comparing different calibration methods (WA/WA-PLS regression and Bayesian modelling) and different-sized calibration sets in pollen-based quantitative climate reconstruction
JS Salonen, L Ilvonen, H Seppä, L Holmström, RJ Telford, ...
The Holocene 22 (4), 413-424, 2012
The self-organizing reduced kernel density estimator
L Holmstrom, A Hamalainen
Neural Networks, 1993., IEEE International Conference on, 417-421 vol. 1, 1993
Process error detection using self-organizing feature maps
JT Alander, M Frisk, L Holmström, A Hämäläinen, J Tuominen
Artificial Neural Networks, 1229-1232, 1991
Scale space multiresolution analysis of random signals
L Holmström, L Pasanen, R Furrer, SR Sain
Computational Statistics & Data Analysis 55 (10), 2840-2855, 2011
The accuracy and the computational complexity of a multivariate binned kernel density estimator
L Holmström
Journal of Multivariate Analysis 72 (2), 264-309, 2000
Bayesian analysis of features in a scatter plot with dependent observations and errors in predictors
P Erästö, L Holmström
Journal of Statistical Computation and Simulation 77 (5), 421-431, 2007
A semiparametric density estimation approach to pattern classification
F Hoti, L Holmström
Pattern Recognition 37 (3), 409-419, 2004
Comparison of neural and statistical classifiers--theory and practice
L Holmström, P Koistinen, J Laaksonen, E Oja
Research Reports A13, Rolf Nevanlinna Institute, 1996
Family-based clusters of cognitive test performance in familial schizophrenia
F Hoti, A Tuulio-Henriksson, J Haukka, T Partonen, L Holmström, ...
BMC psychiatry 4 (1), 1-13, 2004
The course of positional cranial deformation from 3 to 12 months of age and associated risk factors: a follow-up with 3D imaging
H Aarnivala, V Vuollo, V Harila, T Heikkinen, P Pirttiniemi, L Holmström, ...
European journal of pediatrics 175 (12), 1893-1903, 2016
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