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CSREAEEE
2006
99views Business» more  CSREAEEE 2006»
13 years 9 months ago
Teaching Web Applications Development in a Fully Online Environment: Challenges, Approaches and Implementation
: This paper examines the re-development of university level web programming unit for delivery in a fully online mode. The unit, which teaches advanced xhtml, javascript, php and m...
Justin Brown
NIPS
2003
13 years 9 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...
STOC
2006
ACM
130views Algorithms» more  STOC 2006»
14 years 8 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
ICPR
2008
IEEE
14 years 2 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
CORR
2006
Springer
96views Education» more  CORR 2006»
13 years 8 months ago
Metric entropy in competitive on-line prediction
Competitive on-line prediction (also known as universal prediction of individual sequences) is a strand of learning theory avoiding making any stochastic assumptions about the way...
Vladimir Vovk