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Jyrki Kivinen
Jyrki Kivinen
Professor of Computer Science, University of Helsinki
Dirección de correo verificada de cs.helsinki.fi
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Online learning with kernels
J Kivinen, AJ Smola, RC Williamson
Signal Processing, IEEE Transactions on 52 (8), 2165-2176, 2004
13872004
Online learning with kernels
J Kivinen, AJ Smola, RC Williamson
Advances in neural information processing systems 1, 785-792, 2002
13872002
Exponentiated gradient versus gradient descent for linear predictors
J Kivinen, MK Warmuth
information and computation 132 (1), 1-63, 1997
1230*1997
Approximate inference of functional dependencies from relations
J Kivinen, H Mannila
Theoretical Computer Science 149 (1), 129-149, 1995
3081995
Sequential prediction of individual sequences under general loss functions
D Haussler, J Kivinen, MK Warmuth
IEEE Transactions on Information Theory 44 (5), 1906-1925, 1998
2151998
Relative loss bounds for multidimensional regression problems
J Kivinen, MKK Warmuth
Advances in neural information processing systems 10, 1997
1961997
The perceptron algorithm vs. winnow: linear vs. logarithmic mistake bounds when few input variables are relevant
J Kivinen, MK Warmuth
Proceedings of the eighth annual conference on Computational learning theory …, 1995
1911995
Averaging expert predictions
J Kivinen, MK Warmuth
European Conference on Computational Learning Theory, 153-167, 1999
1861999
The power of sampling in knowledge discovery
J Kivinen, H Mannila
Proceedings of the thirteenth ACM SIGACT-SIGMOD-SIGART symposium on …, 1994
1821994
Boosting as entropy projection
J Kivinen, MK Warmuth
Proceedings of the twelfth annual conference on Computational learning …, 1999
1621999
Additive versus exponentiated gradient updates for linear prediction
J Kivinen, MK Warmuth
Proceedings of the twenty-seventh annual ACM symposium on Theory of …, 1995
1491995
Hedging Structured Concepts.
WM Koolen, MK Warmuth, J Kivinen
COLT, 93-105, 2010
1332010
Approximate dependency inference from relations
J Kivinen, H Mannila
International Conference on Database Theory, 86-98, 1992
1311992
Tight worst-case loss bounds for predicting with expert advice
D Haussler, J Kivinen, MK Warmuth
European Conference on Computational Learning Theory, 69-83, 1995
1281995
The p-norm generalization of the LMS algorithm for adaptive filtering
J Kivinen, MK Warmuth, B Hassibi
IEEE Transactions on Signal Processing 54 (5), 1782-1793, 2006
1102006
Relative loss bounds for single neurons
DP Helmbold, J Kivinen, MK Warmuth
Neural Networks, IEEE Transactions on 10 (6), 1291-1304, 1999
109*1999
Mixed Bregman clustering with approximation guarantees
R Nock, P Luosto, J Kivinen
Joint european conference on machine learning and knowledge discovery in …, 2008
512008
Learning rules with local exceptions
J Kivinen, H Mannila, E Ukkonen
European Conference on Computational Learning Theory, 35-46, 1994
381994
Using experts for predicting continuous outcomes
J Kivinen, M Warmuth
Levine's Working Paper Archive, 2010
362010
Online bayes point machines
E Harrington, R Herbrich, J Kivinen, J Platt, RC Williamson
Advances in Knowledge Discovery and Data Mining: 7th Pacific-Asia Conference …, 2003
252003
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Artículos 1–20