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» Individual error, group error, and the value of information
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CCIA
2007
Springer
14 years 1 months ago
Mendelian error detection in complex pedigrees using weighted constraint satisfaction techniques
With the arrival of high throughput genotyping techniques, the detection of likely genotyping errors is becoming an increasingly important problem. In this paper we are interested...
Martí Sánchez, Simon de Givry, Thoma...
FUZZIEEE
2007
IEEE
14 years 1 months ago
Learning Fuzzy Linguistic Models from Low Quality Data by Genetic Algorithms
— Incremental rule base learning techniques can be used to learn models and classifiers from interval or fuzzyvalued data. These algorithms are efficient when the observation e...
Luciano Sánchez, José Otero
IJDE
2002
67views more  IJDE 2002»
13 years 7 months ago
Error, Uncertainty and Loss in Digital Evidence
Despite the potentially grave ramifications of relying on faulty information in the investigative or probabitive stages, the uncertainty in digital evidence is not being evaluated...
Eoghan Casey
SIGCSE
2008
ACM
131views Education» more  SIGCSE 2008»
13 years 7 months ago
Compiler error messages: what can help novices?
Novices find it difficult to understand and use compiler error messages. It is useful to refine this observation and study the effect of different message styles on how well and q...
Marie-Hélène Nienaltowski, Michela P...
ACL
2006
13 years 8 months ago
Analysis and Repair of Name Tagger Errors
Name tagging is a critical early stage in many natural language processing pipelines. In this paper we analyze the types of errors produced by a tagger, distinguishing name classi...
Heng Ji, Ralph Grishman