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» Resampling methods for input modeling
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134
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EUSFLAT
2009
134views Fuzzy Logic» more  EUSFLAT 2009»
15 years 12 days ago
Flow Line Systems with Possibilistic Data: a System with Waiting Time in Line Uncertain
This paper proposes to analyze two flow line systems in which we include possibilistic data -the priority-discipline is possibilistic instead of probabilistic- and measure the perf...
David de la Fuente, María José Pardo
169
Voted
ICFHR
2010
214views Biometrics» more  ICFHR 2010»
14 years 9 months ago
Special Radical Detection by Statistical Classification for On-line Handwritten Chinese Character Recognition
The hierarchical nature of Chinese characters has inspired radical-based recognition, but radical segmentation from characters remains a challenge. We previously proposed a radica...
Long-Long Ma, Adrien Delaye, Cheng-Lin Liu
130
Voted
JCST
2010
189views more  JCST 2010»
14 years 9 months ago
Formally Analyzing Expected Time Complexity of Algorithms Using Theorem Proving
Probabilistic techniques are widely used in the analysis of algorithms to estimate the computational complexity of algorithms or a computational problem. Traditionally, such analys...
Osman Hasan, Sofiène Tahar
ICASSP
2011
IEEE
14 years 6 months ago
Sentence simplification for spoken language understanding
In this paper, we present a sentence simplification method and demonstrate its use to improve intent determination and slot filling tasks in spoken language understanding (SLU) ...
Gökhan Tür, Dilek Hakkani-Tür, Larr...
149
Voted
IJCNN
2007
IEEE
15 years 9 months ago
Generalised Kernel Machines
Abstract— The generalised linear model (GLM) is the standard approach in classical statistics for regression tasks where it is appropriate to measure the data misfit using a lik...
Gavin C. Cawley, Gareth J. Janacek, Nicola L. C. T...