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» On the Complexity of the Whitehead Minimization Problem
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ML
2006
ACM
110views Machine Learning» more  ML 2006»
13 years 7 months ago
Classification-based objective functions
Backpropagation, similar to most learning algorithms that can form complex decision surfaces, is prone to overfitting. This work presents classification-based objective functions, ...
Michael Rimer, Tony Martinez
EUROPAR
2010
Springer
13 years 8 months ago
Analysis of Multi-Organization Scheduling Algorithms
Abstract. In this paper we consider the problem of scheduling on computing platforms composed of several independent organizations, known as the Multi-Organization Scheduling Probl...
Johanne Cohen, Daniel Cordeiro, Denis Trystram, Fr...
ESA
2005
Springer
161views Algorithms» more  ESA 2005»
14 years 1 months ago
Cache-Oblivious Comparison-Based Algorithms on Multisets
Abstract. We study three comparison-based problems related to multisets in the cache-oblivious model: Duplicate elimination, multisorting and finding the most frequent element (th...
Arash Farzan, Paolo Ferragina, Gianni Franceschini...
CDC
2010
IEEE
118views Control Systems» more  CDC 2010»
13 years 2 months ago
Explicit solutions for root optimization of a polynomial family
Abstract-- Given a family of real or complex monic polynomials of fixed degree with one fixed affine constraint on their coefficients, consider the problem of minimizing the root r...
Vincent D. Blondel, Mert Gurbuzbalaban, Alexandre ...
JMLR
2012
11 years 10 months ago
Online Incremental Feature Learning with Denoising Autoencoders
While determining model complexity is an important problem in machine learning, many feature learning algorithms rely on cross-validation to choose an optimal number of features, ...
Guanyu Zhou, Kihyuk Sohn, Honglak Lee