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Erkki Oja

Known as: Erkki, Oja 
Erkki Oja (born 22 March 1948 in Helsinki) is a Finnish computer scientist. He is a professor at the Department of Information and Computer Science… 
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4 relations
Computer scienceEuropean Neural Network SocietyOja's ruleTeuvo Kohonen

Papers overview

Semantic Scholar uses AI to extract papers important to this topic.
2010
2010
The financial crisis and the future of innovation: A view of technical change with the aid of history
This essay locates the current financial crisis and its consequences in a historical context. It briefly outlines the difference… 
2007
2007
U-Pb zircon geochronology of selected Archaean migmatites in eastern Finland
U-Pb SIMS data on eight samples (four mesosome-leucosome pairs) from migmatites in gneiss complexes are presented from the… 
2006
2006
Principal and Minor Subspace Tracking: Algorithms & Stability Analysis
We consider the problem of tracking the minor or principal subspace of a positive Hermitian covariance matrix. We first propose a… 
2003
2003
Government Size and Output Volatility: New International Evidence
This paper re-examines the relationship between government size and output volatility from two perspectives. First, we use a… 
Review
2002
Review
2002
U-Pb GEOCHRONOLOGY OF THE PEURASUVANTO AREA, NORTHERN FINLAND
The Peurasuvanto area lies on the northwestern margin of the Paleoproterozoic Sodankylä schist belt, in the northern part of the… 
Review
2002
Review
2002
Connecting Management Accountants ’ Changing Roles , Competencies and Personalities into the Wider Managerial Discussion – A Longitudinal Case Evidence from the Modern Business Environment
In this study the changing role of the management accounting function is studied from the perspective of the human individual… 
2001
2001
Drinking Patterns among Finnish Fourteen Year-olds from 1977 to 1999
2001
2001
Global convergence analysis for the NIC flow
Previously, a family of fast subspace tracking algorithms based on a novel information criterion (NIC) has been proposed and… 
1994
1994
An Exactly Solvable Model of Unsupervised Learning
A model for unsupervised learning from N-dimensional data is studied. Random training examples are drawn such that the… 
Review
1993
Review
1993
PCA Properties of Interneurons
A review is given of a novel, very computationally simple form of artificial neural network:the network contains no weight decay… 
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