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Proceedings of the ACM/SIGDA international symposium on Field programmable gate arrays, 2013
Despite their many advantages, FPGAs are still inefficient. This inefficiency is mainly due to programmable routing networks; however, FPGA logic blocks also have their share of contribution. From the performance perspective, fewer hops in the routing network translates to a shorter critical path; and that requires large logic blocks capable of ...
Hadi Parandeh-Afshar +4 more
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Despite their many advantages, FPGAs are still inefficient. This inefficiency is mainly due to programmable routing networks; however, FPGA logic blocks also have their share of contribution. From the performance perspective, fewer hops in the routing network translates to a shorter critical path; and that requires large logic blocks capable of ...
Hadi Parandeh-Afshar +4 more
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Psychometrika, 1987
The information criterion AIC was introduced to extend the method of maximum likelihood to the multimodel situation. It was obtained by relating the successful experience of the order determination of an autoregressive model to the determination of the number of factors in the maximum likelihood factor analysis.
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The information criterion AIC was introduced to extend the method of maximum likelihood to the multimodel situation. It was obtained by relating the successful experience of the order determination of an autoregressive model to the determination of the number of factors in the maximum likelihood factor analysis.
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Increased hemoglobin AIc in diabetic mice
Diabetes, 1976The minor hemoglobins AIa, AIb, and AIc were studied in mice with either genetic or chemically induced diabetes. Hemoglobin AIc was elevated approximately twofold in all the phenotypically diabetic mice studied (C57BL/KsJ-db/db, C57BL/KsJ-ob/ob, C57BL7/6J-db/db, and alloxan- and streptozotocin-treated mice).
Koenig, R J, Araujo, D C, Cerami, A
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Sociological Methods & Research, 2004
The two most commonly used penalized model selection criteria, the Bayesian information criterion (BIC) and Akaike’s information criterion (AIC), are examined and compared. Their motivations as approximations of two different target quantities are discussed, and their performance in estimating those quantities is assessed.
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The two most commonly used penalized model selection criteria, the Bayesian information criterion (BIC) and Akaike’s information criterion (AIC), are examined and compared. Their motivations as approximations of two different target quantities are discussed, and their performance in estimating those quantities is assessed.
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Current opinion in investigational drugs (London, England : 2000), 2003
Dynavax is developing Amb a 1 immunostimulatory oligodeoxynucleotide-conjugate (AIC) as a potential immunotherapy for ragweed-induced seasonal allergy. By May 2001, phase II/III trials were underway in Canada and the US, and by March 2002, phase II trials were underway in France. In October 2002, Dynavax expected to commence a phase III trial in 2003.
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Dynavax is developing Amb a 1 immunostimulatory oligodeoxynucleotide-conjugate (AIC) as a potential immunotherapy for ragweed-induced seasonal allergy. By May 2001, phase II/III trials were underway in Canada and the US, and by March 2002, phase II trials were underway in France. In October 2002, Dynavax expected to commence a phase III trial in 2003.
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