Jyrki Kivinen

Publication Activity (10 Years)

Years Active: 1989-2014
Publications (10 Years): 0

Top Topics

Virtual Machine

Database Design

Top Venues

Theor. Comput. Sci.

Publications

Jyrki Kivinen, Csaba Szepesvári, Thomas Zeugmann
Guest Editors' introduction. Theor. Comput. Sci. 519 (2014)
Jyrki Kivinen, Csaba Szepesvári, Esko Ukkonen, Thomas Zeugmann
Editors' Introduction. ALT (2011)
Wouter M. Koolen, Manfred K. Warmuth, Jyrki Kivinen
Hedging Structured Concepts. COLT (2010)
Panu Luosto, Jyrki Kivinen, Heikki Mannila
Gaussian Clusters and Noise: An Approach Based on the Minimum Description Length Principle. Discovery Science (2010)
Richard Nock, Panu Luosto, Jyrki Kivinen
Mixed Bregman Clustering with Approximation Guarantees. ECML/PKDD (2) (2008)
Jyrki Kivinen, Manfred K. Warmuth, Babak Hassibi
The p-norm generalization of the LMS algorithm for adaptive filtering. IEEE Trans. Signal Process. 54 (5) (2006)
Jyrki Kivinen, Alexander J. Smola, Robert C. Williamson
Online learning with kernels. IEEE Trans. Signal Process. 52 (8) (2004)
Edward Harrington, Ralf Herbrich, Jyrki Kivinen, John C. Platt, Robert C. Williamson
Online Bayes Point Machines. PAKDD (2003)
Edward Harrington, Jyrki Kivinen, Robert C. Williamson
Channel equalization and the Bayes point machine. ICASSP (4) (2003)
Jyrki Kivinen, Alexander J. Smola, Robert C. Williamson
Large Margin Classification for Moving Targets. ALT (2002)
Jyrki Kivinen
Online Learning of Linear Classifiers. Machine Learning Summer School (2002)
Jyrki Kivinen
Guest Editor's Introduction. Mach. Learn. 47 (2-3) (2002)
Jyrki Kivinen, Manfred K. Warmuth
Relative Loss Bounds for Multidimensional Regression Problems. Mach. Learn. 45 (3) (2001)
Jyrki Kivinen, Alexander J. Smola, Robert C. Williamson
Online Learning with Kernels. NIPS (2001)
David P. Helmbold, Jyrki Kivinen, Manfred K. Warmuth
Relative loss bounds for single neurons. IEEE Trans. Neural Networks 10 (6) (1999)
Jyrki Kivinen, Manfred K. Warmuth
Boosting as Entropy Projection. COLT (1999)
Jyrki Kivinen, Manfred K. Warmuth
Averaging Expert Predictions EuroCOLT (1999)
David Haussler, Jyrki Kivinen, Manfred K. Warmuth
Sequential Prediction of Individual Sequences Under General Loss Functions. IEEE Trans. Inf. Theory 44 (5) (1998)
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. 97 (1-2) (1997)
Jyrki Kivinen, Manfred K. Warmuth
Exponentiated Gradient Versus Gradient Descent for Linear Predictors. Inf. Comput. 132 (1) (1997)
Jyrki Kivinen, Manfred K. Warmuth
Relative Loss Bounds for Multidimensional Regression Problems. NIPS (1997)
Jyrki Kivinen, Manfred K. Warmuth
The Perceptron Algorithm vs. Winnow: Linear vs. Logarithmic Mistake Bounds when few Input Variables are Relevant. COLT (1995)
Jyrki Kivinen, Manfred K. Warmuth
Additive versus exponentiated gradient updates for linear prediction. STOC (1995)
David Haussler, Jyrki Kivinen, Manfred K. Warmuth
Tight worst-case loss bounds for predicting with expert advice. EuroCOLT (1995)
Jyrki Kivinen, Heikki Mannila
Approximate Inference of Functional Dependencies from Relations. Theor. Comput. Sci. 149 (1) (1995)
David P. Helmbold, Jyrki Kivinen, Manfred K. Warmuth
Worst-case Loss Bounds for Single Neurons. NIPS (1995)
Jyrki Kivinen
Learning Reliably and with One-Sided Error. Math. Syst. Theory 28 (2) (1995)
Jyrki Kivinen, Heikki Mannila
The Power of Sampling in Knowledge Discovery. PODS (1994)
Jyrki Kivinen, Heikki Mannila, Esko Ukkonen, Jaak Vilo
An ALgorithm for Learning Hierarchical Classifiers. ECML (1994)
Jyrki Kivinen, Manfred K. Warmuth
Using experts for predicting continuous outcomes. EuroCOLT (1993)
Jyrki Kivinen, Heikki Mannila, Esko Ukkonen
Learning rules with local exceptions. EuroCOLT (1993)
Jyrki Kivinen, Heikki Mannila
Approximate Dependency Inference from Relations. ICDT (1992)
Jyrki Kivinen, Heikki Mannila, Esko Ukkonen
Learning Hierarchical Rule Sets. COLT (1992)
Tapio Elomaa, Jyrki Kivinen
On inducing topologically minimal decision trees. TAI (1990)
Jyrki Kivinen
Reliable and Useful Learning with Uniform Probability Distributions. ALT (1990)
Jyrki Kivinen
Reliable and Useful Learning. COLT (1989)