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ML
2007
ACM
131views Machine Learning» more  ML 2007»
15 years 1 months ago
A primal-dual perspective of online learning algorithms
We describe a novel framework for the design and analysis of online learning algorithms based on the notion of duality in constrained optimization. We cast a sub-family of universa...
Shai Shalev-Shwartz, Yoram Singer
ICML
2004
IEEE
16 years 3 months ago
Boosting margin based distance functions for clustering
The performance of graph based clustering methods critically depends on the quality of the distance function, used to compute similarities between pairs of neighboring nodes. In t...
Tomer Hertz, Aharon Bar-Hillel, Daphna Weinshall
124
Voted
ICML
2005
IEEE
16 years 3 months ago
Building Sparse Large Margin Classifiers
This paper presents an approach to build Sparse Large Margin Classifiers (SLMC) by adding one more constraint to the standard Support Vector Machine (SVM) training problem. The ad...
Bernhard Schölkopf, Gökhan H. Bakir, Min...
114
Voted
ECML
2004
Springer
15 years 7 months ago
Inducing Polynomial Equations for Regression
Regression methods aim at inducing models of numeric data. While most state-of-the-art machine learning methods for regression focus on inducing piecewise regression models (regres...
Ljupco Todorovski, Peter Ljubic, Saso Dzeroski
143
Voted
CDC
2009
IEEE
137views Control Systems» more  CDC 2009»
15 years 7 months ago
Kernel regression for travel time estimation via convex optimization
—We develop an algorithm aimed at estimating travel time on segments of a road network using a convex optimization framework. Sampled travel time from probe vehicles are assumed ...
Sebastien Blandin, Laurent El Ghaoui, Alexandre M....