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ALT
2006
Springer
16 years 3 months ago
Risk-Sensitive Online Learning
We consider the problem of online learning in settings in which we want to compete not simply with the rewards of the best expert or stock, but with the best trade-off between rew...
Eyal Even-Dar, Michael J. Kearns, Jennifer Wortman
TITS
2011
150views more  TITS 2011»
15 years 1 months ago
Online Spatio-Temporal Risk Assessment for Intelligent Transportation Systems
—Due to modern pervasive wireless technologies and high-performance monitoring systems, spatio-temporal information plays an important role in areas such as intelligent transport...
Ondrej Linda, Milos Manic
CVPR
2009
IEEE
17 years 1 months ago
A Perceptually Motivated Online Benchmark for Image Matting
The availability of quantitative online benchmarks for low-level vision tasks such as stereo and optical flow has led to significant progress in the respective fields. This paper...
Christoph Rhemann (Vienna University of Technology...
SDM
2007
SIAM
120views Data Mining» more  SDM 2007»
15 years 7 months ago
An Analysis of Logistic Models: Exponential Family Connections and Online Performance
Logistic models are arguably one of the most widely used data analysis techniques. In this paper, we present analyses focussing on two important aspects of logistic models—its r...
Arindam Banerjee
KDD
2012
ACM
187views Data Mining» more  KDD 2012»
13 years 8 months ago
Online learning to diversify from implicit feedback
In order to minimize redundancy and optimize coverage of multiple user interests, search engines and recommender systems aim to diversify their set of results. To date, these dive...
Karthik Raman, Pannaga Shivaswamy, Thorsten Joachi...