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» A Quality Model for Evaluating Feature Models
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NAR
2011
223views Computer Vision» more  NAR 2011»
14 years 2 months ago
KUPS: constructing datasets of interacting and non-interacting protein pairs with associated attributions
KUPS (The University of Kansas Proteomics Service) provides high-quality protein–protein interaction (PPI) data for researchers developing and evaluating computational models fo...
Xue-wen Chen, Jong Cheol Jeong, Patrick Dermyer
ECIS
2004
15 years 1 months ago
Using probabilistic feature models to determine success criteria for ICT projects
Since the 1960's many authors accepted the triple constraints (time, cost, specification) as a standard measure of success and this still appears to be extremely important in...
Koen Milis
IVA
2005
Springer
15 years 5 months ago
Social Causality and Responsibility: Modeling and Evaluation
Causality is a central issue in many AI applications. Social causality, in contrast to physical causality, seeks to attribute cause and responsibility to social events, and account...
Wenji Mao, Jonathan Gratch
MT
2002
118views more  MT 2002»
14 years 11 months ago
Principles of Context-Based Machine Translation Evaluation
This article defines a Framework for Machine Translation Evaluation (FEMTI) which relates the quality model used to evaluate a machine translation system to the purpose and context...
Eduard H. Hovy, Margaret King, Andrei Popescu-Beli...
ICIP
2002
IEEE
16 years 1 months ago
Probabilistic home video structuring: feature selection and performance evaluation
We recently proposed a method to find cluster structure in home videos based on statistical models of visual and temporal features of video segments and sequential binary Bayesian...
Daniel Gatica-Perez, Alexander C. Loui, Ming-Ting ...