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» Input Modeling Using Quantile Statistical Methods
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ICSE
2005
IEEE-ACM
14 years 10 months ago
Validation methods for calibrating software effort models
COCONUT calibrates effort estimation models using an exhaustive search over the space of calibration parameters in a COCOMO I model. This technique is much simpler than other effo...
Tim Menzies, Daniel Port, Zhihao Chen, Jairus Hihn...
ACL
1997
13 years 11 months ago
Decoding Algorithm in Statistical Machine Translation
Decoding algorithm is a crucial part in statistical machine translation. We describe a stack decoding algorithm in this paper. We present the hypothesis scoring method and the heu...
Ye-Yi Wang, Alex Waibel
DATE
2006
IEEE
129views Hardware» more  DATE 2006»
14 years 4 months ago
Non-gaussian statistical interconnect timing analysis
This paper focuses on statistical interconnect timing analysis in a parameterized block-based statistical static timing analysis tool. In particular, a new framework for performin...
Soroush Abbaspour, Hanif Fatemi, Massoud Pedram
GECCO
2010
Springer
182views Optimization» more  GECCO 2010»
14 years 2 months ago
Model selection in genetic programming
Abstract. We discuss the problem of model selection in Genetic Programming using the framework provided by Statistical Learning Theory, i.e. Vapnik-Chervonenkis theory (VC). We pre...
Cruz E. Borges, César Luis Alonso, Jos&eacu...
ICPR
2008
IEEE
14 years 4 months ago
Flexible object recognition in cluttered scenes using relative point distribution models
This paper introduces an edge-based object recognition method that is robust with respect to clutter, occlusion and object deformations. The method combines the use of local featu...
Alexandros Bouganis, Murray Shanahan