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» General Loss Bounds for Universal Sequence Prediction
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SIGECOM
2010
ACM
149views ECommerce» more  SIGECOM 2010»
14 years 5 days ago
A new understanding of prediction markets via no-regret learning
We explore the striking mathematical connections that exist between market scoring rules, cost function based prediction markets, and no-regret learning. We first show that any c...
Yiling Chen, Jennifer Wortman Vaughan
ICCV
2011
IEEE
12 years 7 months ago
Learning Universal Multi-view Age Estimator by Video Contexts
Most existing techniques for analyzing face images assume that the faces are at near-frontal poses. Generalizing to non-frontal faces is often difficult, due to a dearth of groun...
Zheng Song, Bingbing Ni, Dong Guo, Terence Sim, Sh...
25
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COLT
2001
Springer
13 years 12 months ago
Tracking a Small Set of Experts by Mixing Past Posteriors
In this paper, we examine on-line learning problems in which the target concept is allowed to change over time. In each trial a master algorithm receives predictions from a large ...
Olivier Bousquet, Manfred K. Warmuth
PKDD
2010
Springer
152views Data Mining» more  PKDD 2010»
13 years 5 months ago
Online Knowledge-Based Support Vector Machines
Prior knowledge, in the form of simple advice rules, can greatly speed up convergence in learning algorithms. Online learning methods predict the label of the current point and the...
Gautam Kunapuli, Kristin P. Bennett, Amina Shabbee...
PODC
2009
ACM
14 years 8 months ago
Bounding the locality of distributed routing algorithms
d Abstract] Prosenjit Bose School of Computer Science Carleton University Ottawa, Canada jit@scs.carleton.ca Paz Carmi Dept. of Computer Science Ben-Gurion Univ. of the Negev Beer-...
Prosenjit Bose, Paz Carmi, Stephane Durocher