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» Optimal Bounds on Tail Probabilities - A Simplified Approach
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ICML
2009
IEEE
14 years 6 days ago
Feature hashing for large scale multitask learning
Empirical evidence suggests that hashing is an effective strategy for dimensionality reduction and practical nonparametric estimation. In this paper we provide exponential tail bo...
Kilian Q. Weinberger, Anirban Dasgupta, John Langf...
MOR
2010
91views more  MOR 2010»
13 years 3 months ago
Bounding Probability of Small Deviation: A Fourth Moment Approach
In this paper we study the problem of bounding the value of the probability distribution function of a random variable X at E[X] + a where a is a small quantity in comparison with...
Simai He, Jiawei Zhang, Shuzhong Zhang
ALMOB
2007
151views more  ALMOB 2007»
13 years 5 months ago
Local sequence alignments statistics: deviations from Gumbel statistics in the rare-event tail
Background: The optimal score for ungapped local alignments of infinitely long random sequences is known to follow a Gumbel extreme value distribution. Less is known about the imp...
Stefan Wolfsheimer, Bernd Burghardt, Alexander K. ...
INFOCOM
2010
IEEE
13 years 3 months ago
Sample Path Bounds for Long Memory FBM Traffic
Fractional Brownian motion (fBm) emerged as a useful model for self-similar and long-range dependent Internet traffic. Asymptotic, respectively, approximate performance measures ar...
Amr Rizk, Markus Fidler
NIPS
2001
13 years 6 months ago
On the Generalization Ability of On-Line Learning Algorithms
In this paper, it is shown how to extract a hypothesis with small risk from the ensemble of hypotheses generated by an arbitrary on-line learning algorithm run on an independent an...
Nicolò Cesa-Bianchi, Alex Conconi, Claudio ...