| Hits ?▲ |
Authors |
Title |
Venue |
Year |
Link |
Author keywords |
| 1 | Jyrki Kivinen, Csaba Szepesvári, Esko Ukkonen, Thomas Zeugmann (eds.) |
Algorithmic Learning Theory - 22nd International Conference, ALT 2011, Espoo, Finland, October 5-7, 2011. Proceedings  |
ALT  |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Jyrki Kivinen, Csaba Szepesvári, Esko Ukkonen, Thomas Zeugmann |
Editors' Introduction. |
ALT |
2011 |
DBLP DOI BibTeX RDF |
|
| 1 | Wouter M. Koolen, Manfred K. Warmuth, Jyrki Kivinen |
Hedging Structured Concepts. |
COLT |
2010 |
DBLP BibTeX RDF |
|
| 1 | Panu Luosto, Jyrki Kivinen, Heikki Mannila |
Gaussian Clusters and Noise: An Approach Based on the Minimum Description Length Principle. |
Discovery Science |
2010 |
DBLP DOI BibTeX RDF |
|
| 1 | Jyrki Kivinen |
Attribute-Efficient Learning. |
Encyclopedia of Algorithms |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Richard Nock, Panu Luosto, Jyrki Kivinen |
Mixed Bregman Clustering with Approximation Guarantees. |
ECML/PKDD |
2008 |
DBLP DOI BibTeX RDF |
|
| 1 | Jyrki Kivinen, Manfred K. Warmuth, Babak Hassibi |
The p-norm generalization of the LMS algorithm for adaptive filtering. |
IEEE Transactions on Signal Processing |
2006 |
DBLP DOI BibTeX RDF |
|
| 1 | Jyrki Kivinen, Alexander J. Smola, Robert C. Williamson |
Online learning with kernels. |
IEEE Transactions on Signal Processing |
2004 |
DBLP DOI BibTeX RDF |
|
| 1 | Edward Harrington, Ralf Herbrich, Jyrki Kivinen, John C. Platt, Robert C. Williamson |
Online Bayes Point Machines. |
PAKDD |
2003 |
DBLP DOI BibTeX RDF |
|
| 1 | Jyrki Kivinen |
Guest Editor's Introduction. |
Machine Learning |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Jyrki Kivinen, Alex J. Smola, Robert C. Williamson |
Large Margin Classification for Moving Targets. |
ALT |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Jyrki Kivinen, Robert H. Sloan (eds.) |
Computational Learning Theory, 15th Annual Conference on Computational Learning Theory, COLT 2002, Sydney, Australia, July 8-10, 2002, Proceedings |
COLT |
2002 |
DBLP BibTeX RDF |
|
| 1 | Jyrki Kivinen |
Online Learning of Linear Classifiers. |
Machine Learning Summer School |
2002 |
DBLP DOI BibTeX RDF |
|
| 1 | Jyrki Kivinen, Manfred K. Warmuth |
Relative Loss Bounds for Multidimensional Regression Problems. |
Machine Learning |
2001 |
DBLP DOI BibTeX RDF |
|
| 1 | Jyrki Kivinen, Alex J. Smola, Robert C. Williamson |
Online Learning with Kernels. |
NIPS |
2001 |
DBLP BibTeX RDF |
|
| 1 | David P. Helmbold, Jyrki Kivinen, Manfred K. Warmuth |
Relative loss bounds for single neurons. |
IEEE Transactions on Neural Networks |
1999 |
DBLP DOI BibTeX RDF |
|
| 1 | Jyrki Kivinen, Manfred K. Warmuth |
Averaging Expert Predictions |
EuroCOLT |
1999 |
DBLP DOI BibTeX RDF |
|
| 1 | Jyrki Kivinen, Manfred K. Warmuth |
Boosting as Entropy Projection. |
COLT |
1999 |
DBLP DOI BibTeX RDF |
|
| 1 | David Haussler, Jyrki Kivinen, Manfred K. Warmuth |
Sequential Prediction of Individual Sequences Under General Loss Functions. |
IEEE Transactions on Information Theory |
1998 |
DBLP DOI BibTeX RDF |
|
| 1 | Jyrki Kivinen, Manfred K. Warmuth |
Exponentiated Gradient Versus Gradient Descent for Linear Predictors. |
Inf. Comput. |
1997 |
DBLP DOI BibTeX RDF |
|
| 1 | Jyrki Kivinen, Manfred K. Warmuth, Peter Auer |
The Perceptron Algorithm Versus Winnow: Linear Versus Logarithmic Mistake Bounds when Few Input Variables are Relevant (Technical Note). |
Artif. Intell. |
1997 |
DBLP DOI BibTeX RDF |
|
| 1 | Jyrki Kivinen, Manfred K. Warmuth |
Relative Loss Bounds for Multidimensional Regression Problems. |
NIPS |
1997 |
DBLP BibTeX RDF |
|
| 1 | Jyrki Kivinen, Heikki Mannila |
Approximate Inference of Functional Dependencies from Relations. |
Theor. Comput. Sci. |
1995 |
DBLP DOI BibTeX RDF |
|
| 1 | Jyrki Kivinen |
Learning Reliably and with One-Sided Error. |
Mathematical Systems Theory |
1995 |
DBLP DOI BibTeX RDF |
|
| 1 | David Haussler, Jyrki Kivinen, Manfred K. Warmuth |
Tight worst-case loss bounds for predicting with expert advice. |
EuroCOLT |
1995 |
DBLP DOI BibTeX RDF |
|
| 1 | Jyrki Kivinen, Manfred K. Warmuth |
The Perceptron Algorithm vs. Winnow: Linear vs. Logarithmic Mistake Bounds when few Input Variables are Relevant. |
COLT |
1995 |
DBLP DOI BibTeX RDF |
|
| 1 | Jyrki Kivinen, Manfred K. Warmuth |
Additive versus exponentiated gradient updates for linear prediction. |
STOC |
1995 |
DBLP DOI BibTeX RDF |
|
| 1 | David P. Helmbold, Jyrki Kivinen, Manfred K. Warmuth |
Worst-case Loss Bounds for Single Neurons. |
NIPS |
1995 |
DBLP BibTeX RDF |
|
| 1 | Jyrki Kivinen, Heikki Mannila, Esko Ukkonen, Jaak Vilo |
An ALgorithm for Learning Hierarchical Classifiers. |
ECML |
1994 |
DBLP DOI BibTeX RDF |
|
| 1 | Jyrki Kivinen, Heikki Mannila |
The Power of Sampling in Knowledge Discovery. |
PODS |
1994 |
DBLP DOI BibTeX RDF |
|
| 1 | Jyrki Kivinen, Heikki Mannila |
Approximate Dependency Inference from Relations. |
ICDT |
1992 |
DBLP DOI BibTeX RDF |
|
| 1 | Jyrki Kivinen, Heikki Mannila, Esko Ukkonen |
Learning Hierarchical Rule Sets. |
COLT |
1992 |
DBLP DOI BibTeX RDF |
|
| 1 | Jyrki Kivinen |
Reliable and Useful Learning with Uniform Probability Distributions. |
ALT |
1990 |
DBLP BibTeX RDF |
|
| 1 | Jyrki Kivinen |
Reliable and Useful Learning. |
COLT |
1989 |
DBLP BibTeX RDF |
|
![[Valid RSS]](Pics/valid-rss.png "Validate my RSS feed")