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» Generalization Bounds for Some Ordinal Regression Algorithms
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ML
2002
ACM
145views Machine Learning» more  ML 2002»
13 years 7 months ago
Boosting Methods for Regression
In this paper we examine ensemble methods for regression that leverage or "boost" base regressors by iteratively calling them on modified samples. The most successful lev...
Nigel Duffy, David P. Helmbold
GECCO
2005
Springer
108views Optimization» more  GECCO 2005»
14 years 26 days ago
Some theoretical results about the computation time of evolutionary algorithms
This paper focuses on the computation time of evolutionary algorithms. First, some exact expressions of the mean first hitting times of general evolutionary algorithms in finite...
Lixin X. Ding, Jinghu Yu
RTSS
2007
IEEE
14 years 1 months ago
Generalized Tardiness Bounds for Global Multiprocessor Scheduling
We consider the issue of deadline tardiness under global multiprocessor scheduling algorithms. We present a general tardiness-bound derivation that is applicable to a wide variety...
Hennadiy Leontyev, James H. Anderson
APPROX
2006
Springer
179views Algorithms» more  APPROX 2006»
13 years 11 months ago
On Bounded Distance Decoding for General Lattices
A central problem in the algorithmic study of lattices is the closest vector problem: given a lattice v represented by some basis, and a target point y, nd the lattice point close...
Yi-Kai Liu, Vadim Lyubashevsky, Daniele Micciancio
ICONIP
2007
13 years 8 months ago
Using Generalization Error Bounds to Train the Set Covering Machine
In this paper we eliminate the need for parameter estimation associated with the set covering machine (SCM) by directly minimizing generalization error bounds. Firstly, we consider...
Zakria Hussain, John Shawe-Taylor