The odds-algorithm is a mathematical method for computing optimalstrategies for a class of problems that belong to the domain of optimal stoppingâ€¦Â (More)

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2017

2017

- Ã‰douard Thomas, Eric Levrat, BenÃ´Ä±t Iung, Maxime Monnin
- 2017

In the field of manufacturing, the planning of opportunistic preventive maintenance actions adapted to minimise the number ofâ€¦Â (More)

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2017

2017

- Kostas Kolomvatsos
- Applied Intelligence
- 2017

Analytics provided on top of large scale data streams are the key research subject for future decision making applications. Theâ€¦Â (More)

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2016

2016

- Bo Liu, Luwan Zhang, Jihong Liu
- UAI
- 2016

Dantzig Selector (DS) is widely used in compressed sensing and sparse learning for feature selection and sparse signal recoveryâ€¦Â (More)

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2015

2015

- Dora Luz Almanza Ojeda, Yazmin Gomar Vera, Mario Alberto Ibarra Manzano
- IEEE Latin America Transactions
- 2015

This article presents the implementation of an strategy for detecting, mapping and avoiding obstacles using the mobile roboticâ€¦Â (More)

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2012

2012

- Manos Spanoudakis, Dimitris Lorentzos, Christos Anagnostopoulos, Stathes Hadjiefthymiades
- 2012 16th Panhellenic Conference on Informatics
- 2012

Serving the most updated version of a resource with minimal networking overhead is always a challenge for WWW Caching, especiallyâ€¦Â (More)

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2010

2010

- Thomas Bruss
- Discrete Mathematics & Theoretical Computerâ€¦
- 2010

The odds-strategy solves a certain class of sequential decision problems. Although, as we will show, the result needs onlyâ€¦Â (More)

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2008

2008

Let I1, I2, . . . , In be independent indicator functions on someprobability space ( ,A,P). We suppose that these indicators canâ€¦Â (More)

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2002

2002

- F. Thomas Bruss
- 2002

This talk presents an attempt to unify sequential search and selection problems in the light of optimal stopping problems onâ€¦Â (More)

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1999

1999

In this paper we present an algorithm for maximum likelihood estimation in the proportional odds model. The algorithm is anâ€¦Â (More)

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