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Searching for phrase effort-domain (changed automatically) with no syntactic query expansion in all metadata.

Publication years (Num. hits)
1999 (1) 2000 (1) 2009 (1) 2015 (1)
Publication types (Num. hits)
inproceedings(3) phdthesis(1)
Venues (Conferences, Journals, ...)
CIKM(1) HASE(1) ISQED(1)
Authors
Amjad Hajjar(2) Anneliese von Mayrhauser(2) Charles Anderson 0001(2) Mehmet Sahinoglu(2) Tom Chen 0001(2) Gloria Zen(1) Jakub Szymanski(1) Raphael Hoffmann(1) Xiao Li 0006(1) Ye-Yi Wang(1)
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The graphs summarize 7 occurrences of 5 keywords
Results
Found 4 publication records. Showing 4 according to the selection in the facets
Hits ?▲ Authors Title Venue Year Link Author keywords
20Tom Chen 0001, Anneliese von Mayrhauser, Amjad Hajjar, Charles Anderson 0001, Mehmet Sahinoglu Achieving the Quality of Verification for Behavioral Models with Minimum Effort. Search on Bibsonomy ISQED The full citation details ... 2000 DBLP  DOI  BibTeX  RDF behavioral model verification, Compound Poisson, effort-domain, empirical Bayesian analysis, negative binomial distribution(NBD), Poisson LSD, testing strategy, stopping rule
20Tom Chen 0001, Anneliese von Mayrhauser, Amjad Hajjar, Charles Anderson 0001, Mehmet Sahinoglu How Much Testing is Enough? Applying Stopping Rules to Behavioral Model Testing. Search on Bibsonomy HASE The full citation details ... 1999 DBLP  DOI  BibTeX  RDF Behavioral Model Testing, Compound Poisson, Effort-Domain, Empirical Bayesian Analysis, Negative Binomial Distribution (NBD), Poisson LSD, Testing Strategy, Stopping Rule
14Gloria Zen Understanding Visual Information: from Unsupervised Discovery to Minimal Effort Domain Adaptation. Search on Bibsonomy 2015   RDF
8Ye-Yi Wang, Raphael Hoffmann, Xiao Li 0006, Jakub Szymanski Semi-supervised learning of semantic classes for query understanding: from the web and for the web. Search on Bibsonomy CIKM The full citation details ... 2009 DBLP  DOI  BibTeX  RDF html lists, lexicon acquisition/set expansion, model over-fitting, query understanding/semantic tagging, information extraction, semi-supervised learning, conditional random fields
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