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NIPS
2003
15 years 4 months ago
Online Passive-Aggressive Algorithms
We present a family of margin based online learning algorithms for various prediction tasks. In particular we derive and analyze algorithms for binary and multiclass categorizatio...
Shai Shalev-Shwartz, Koby Crammer, Ofer Dekel, Yor...
130
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ICML
2010
IEEE
15 years 1 months ago
Online Prediction with Privacy
In this paper, we consider online prediction from expert advice in a situation where each expert observes its own loss at each time while the loss cannot be disclosed to others fo...
Jun Sakuma, Hiromi Arai
ICPPW
2006
IEEE
15 years 9 months ago
A Runtime Scheduling Method for Dynamic and Heterogeneous Platforms
In this paper, we present a runtime method for scheduling parallel applications on dynamic and heterogeneous platforms. It can be used to schedule parallel applications whose tota...
Salah-Salim Boutammine, Daniel Millot, Christian P...
STOC
2006
ACM
130views Algorithms» more  STOC 2006»
16 years 3 months ago
Online trading algorithms and robust option pricing
In this work we show how to use efficient online trading algorithms to price the current value of financial instruments, such as an option. We derive both upper and lower bounds f...
Peter DeMarzo, Ilan Kremer, Yishay Mansour
127
Voted
ICPR
2008
IEEE
15 years 10 months ago
On-line boosted cascade for object detection
On-line boosting is a recent advancement in the field of machine learning that has opened a new spectrum of possibilities in many diverse fields. With respect to a static strong...
Ingrid Visentini, Lauro Snidaro, Gian Luca Foresti