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» Online Bounds for Bayesian Algorithms
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ALT
2010
Springer
14 years 11 months ago
Online Multiple Kernel Learning: Algorithms and Mistake Bounds
Online learning and kernel learning are two active research topics in machine learning. Although each of them has been studied extensively, there is a limited effort in addressing ...
Rong Jin, Steven C. H. Hoi, Tianbao Yang
ISAAC
2010
Springer
221views Algorithms» more  ISAAC 2010»
14 years 7 months ago
Improved Online Algorithms for 1-Space Bounded 2-Dimensional Bin Packing
In this paper, we study 1-space bounded 2-dimensional bin packing and square packing. A sequence of rectangular items (square items, respectively) arrive over time, which must be p...
Yong Zhang, Jing-Chi Chen, Francis Y. L. Chin, Xin...
TIT
2008
76views more  TIT 2008»
14 years 9 months ago
Improved Risk Tail Bounds for On-Line Algorithms
We prove the strongest known bound for the risk of hypotheses selected from the ensemble generated by running a learning algorithm incrementally on the training data. Our result i...
Nicolò Cesa-Bianchi, Claudio Gentile
NIPS
2000
14 years 11 months ago
On Reversing Jensen's Inequality
Jensen's inequality is a powerful mathematical tool and one of the workhorses in statistical learning. Its applications therein include the EM algorithm, Bayesian estimation ...
Tony Jebara, Alex Pentland