Jyrki Kivinen

According to our database, Jyrki Kivinen authored at least 36 papers between 1989 and 2016.

Collaborative distances:

• Dijkstra number of four.
• Erdős number of three.

2016

Attribute-Efficient Learning.

Jyrki Kivinen

Encyclopedia of Algorithms, 2016

2014

Guest Editors' introduction.

Jyrki Kivinen, Csaba Szepesvári, Thomas Zeugmann

Theor. Comput. Sci., 2014

2011

Editors' Introduction.

Jyrki Kivinen, Csaba Szepesvári, Esko Ukkonen, Thomas Zeugmann

Proceedings of the Algorithmic Learning Theory - 22nd International Conference, 2011

2010

Gaussian Clusters and Noise: An Approach Based on the Minimum Description Length Principle.

Panu Luosto, Jyrki Kivinen, Heikki Mannila

Proceedings of the Discovery Science - 13th International Conference, 2010

Hedging Structured Concepts.

Wouter M. Koolen, Manfred K. Warmuth, Jyrki Kivinen

Proceedings of the COLT 2010, 2010

2008

Attribute-Efficient Learning.

Jyrki Kivinen

Proceedings of the Encyclopedia of Algorithms - 2008 Edition, 2008

Mixed Bregman Clustering with Approximation Guarantees.

Richard Nock, Panu Luosto, Jyrki Kivinen

Proceedings of the Machine Learning and Knowledge Discovery in Databases, 2008

2006

The p-norm generalization of the LMS algorithm for adaptive filtering.

Jyrki Kivinen, Manfred K. Warmuth, Babak Hassibi

IEEE Trans. Signal Process., 2006

2004

Online learning with kernels.

Jyrki Kivinen, Alexander J. Smola, Robert C. Williamson

IEEE Trans. Signal Process., 2004

2003

Online Bayes Point Machines.

Edward Harrington, Ralf Herbrich, Jyrki Kivinen, John C. Platt, Robert C. Williamson

Proceedings of the Advances in Knowledge Discovery and Data Mining, 2003

Channel equalization and the Bayes point machine.

Edward Harrington, Jyrki Kivinen, Robert C. Williamson

Proceedings of the 2003 IEEE International Conference on Acoustics, 2003

2002

Guest Editor's Introduction.

Jyrki Kivinen

Mach. Learn., 2002

Online Learning of Linear Classifiers.

Jyrki Kivinen

Proceedings of the Advanced Lectures on Machine Learning, 2002

Large Margin Classification for Moving Targets.

Jyrki Kivinen, Alexander J. Smola, Robert C. Williamson

Proceedings of the Algorithmic Learning Theory, 13th International Conference, 2002

2001

Relative Loss Bounds for Multidimensional Regression Problems.

Jyrki Kivinen, Manfred K. Warmuth

Mach. Learn., 2001

1999

Relative loss bounds for single neurons.

David P. Helmbold, Jyrki Kivinen, Manfred K. Warmuth

IEEE Trans. Neural Networks, 1999

Averaging Expert Predictions

Jyrki Kivinen, Manfred K. Warmuth

Proceedings of the Computational Learning Theory, 4th European Conference, 1999

Boosting as Entropy Projection.

Jyrki Kivinen, Manfred K. Warmuth

Proceedings of the Twelfth Annual Conference on Computational Learning Theory, 1999

1998

Sequential Prediction of Individual Sequences Under General Loss Functions.

David Haussler, Jyrki Kivinen, Manfred K. Warmuth

IEEE Trans. Inf. Theory, 1998

1997

Exponentiated Gradient Versus Gradient Descent for Linear Predictors.

Jyrki Kivinen, Manfred K. Warmuth

Inf. Comput., 1997

The Perceptron Algorithm Versus Winnow: Linear Versus Logarithmic Mistake Bounds when Few Input Variables are Relevant (Technical Note).

Jyrki Kivinen, Manfred K. Warmuth, Peter Auer

Artif. Intell., 1997

1995

Approximate Inference of Functional Dependencies from Relations.

Jyrki Kivinen, Heikki Mannila

Theor. Comput. Sci., 1995

Learning Reliably and with One-Sided Error.

Jyrki Kivinen

Math. Syst. Theory, 1995

Additive versus exponentiated gradient updates for linear prediction.

Jyrki Kivinen, Manfred K. Warmuth

Proceedings of the Twenty-Seventh Annual ACM Symposium on Theory of Computing, 1995

Worst-case Loss Bounds for Single Neurons.

David P. Helmbold, Jyrki Kivinen, Manfred K. Warmuth

Proceedings of the Advances in Neural Information Processing Systems 8, 1995

Tight worst-case loss bounds for predicting with expert advice.

David Haussler, Jyrki Kivinen, Manfred K. Warmuth

Proceedings of the Computational Learning Theory, Second European Conference, 1995

The Perceptron Algorithm vs. Winnow: Linear vs. Logarithmic Mistake Bounds when few Input Variables are Relevant.

Jyrki Kivinen, Manfred K. Warmuth

Proceedings of the Eigth Annual Conference on Computational Learning Theory, 1995

1994

The Power of Sampling in Knowledge Discovery.

Jyrki Kivinen, Heikki Mannila

Proceedings of the Thirteenth ACM SIGACT-SIGMOD-SIGART Symposium on Principles of Database Systems, 1994

An ALgorithm for Learning Hierarchical Classifiers.

Jyrki Kivinen, Heikki Mannila, Esko Ukkonen, Jaak Vilo

Proceedings of the Machine Learning: ECML-94, 1994

1993

Using experts for predicting continuous outcomes.

Jyrki Kivinen, Manfred K. Warmuth

Proceedings of the First European Conference on Computational Learning Theory, 1993

Learning rules with local exceptions.

Jyrki Kivinen, Heikki Mannila, Esko Ukkonen

Proceedings of the First European Conference on Computational Learning Theory, 1993

1992

Approximate Dependency Inference from Relations.

Jyrki Kivinen, Heikki Mannila

Proceedings of the Database Theory, 1992

Learning Hierarchical Rule Sets.

Jyrki Kivinen, Heikki Mannila, Esko Ukkonen

Proceedings of the Fifth Annual ACM Conference on Computational Learning Theory, 1992

1990

On inducing topologically minimal decision trees.

Tapio Elomaa, Jyrki Kivinen

Proceedings of the 2nd International IEEE Conference on Tools for Artificial Intelligence, 1990

Reliable and Useful Learning with Uniform Probability Distributions.

Jyrki Kivinen

Proceedings of the Algorithmic Learning Theory, First International Workshop, 1990

1989

Reliable and Useful Learning.

Jyrki Kivinen

Proceedings of the Second Annual Workshop on Computational Learning Theory, 1989