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NIPS
1994
15 years 8 months ago
Active Learning with Statistical Models
For many types of machine learning algorithms, one can compute the statistically optimal" way to select training data. In this paper, we review how optimal data selection tec...
David A. Cohn, Zoubin Ghahramani, Michael I. Jorda...
CSDA
2006
94views more  CSDA 2006»
15 years 6 months ago
The nature of sensitivity in monotone missing not at random models
Models for incomplete longitudinal data under missingness not at random have gained some popularity. At the same time, cautionary remarks have been issued regarding their sensitiv...
Ivy Jansen, Niel Hens, Geert Molenberghs, Marc Aer...
TELSYS
2011
207views Education» more  TELSYS 2011»
15 years 1 months ago
GRASP: basic components and enhancements
GRASP (Greedy Randomized Adaptive Search Procedures) is a multistart metaheuristic for producing good-quality solutions of combinatorial optimization problems. Each GRASP iteration...
Paola Festa, Mauricio G. C. Resende
LFCS
2009
Springer
16 years 1 months ago
The Logic of Proofs as a Foundation for Certifying Mobile Computation
We explore an intuitionistic fragment of Art¨emov’s Logic of Proofs as a type system for a programming language for mobile units. Such units consist of both a code and certific...
Eduardo Bonelli, Federico Feller
SAMT
2007
Springer
117views Multimedia» more  SAMT 2007»
16 years 22 days ago
A Region Thesaurus Approach for High-Level Concept Detection in the Natural Disaster Domain
Abstract. This paper presents an approach on high-level feature detection using a region thesaurus. MPEG-7 features are locally extracted from segmented regions and for a large set...
Evaggelos Spyrou, Yannis S. Avrithis