Comparing Alternative Effect Decomposition Methods
نویسندگان
چکیده
منابع مشابه
specialized methods to teach spelling: comparing three methods
چکیده: بررسی ادبیات مربوطه در کشور در زمینه یادگیری زبان انگلیسی نشان میدهد که علیرغم اهمیت املا در فرآیند یادگیری به طور عام و یادگیری زبان انگلیسی به طور خاص، این مولفه از جایگاهی متناسب با اهمیت آن برخوردار نیست و عمدتاً نادیده گرفته شده است. تحقیقات گستردهای در خارج از کشور در مورد ماهیت این مولفه صورت گرفته است، در حالی که به جرأت میتوان گفت در داخل کشور گامی در مورد درک ماهیت آن و فرآی...
15 صفحه اولComparing Alternative Methods for Inference in Multiply Sectioned Bayesian Networks
Multiply sectioned Bayesian networks (MSBNs) provide one framework for agents to estimate the state of a domain. Existing methods for multi-agent inference in MSBNs are based on linked junction forests (LJFs). The methods are extensions of message passing in junction trees for inference in singleagent Bayesian networks (BNs). We consider extending other inference methods in single-agent BNs to ...
متن کاملComparing Alternative Computer-based Methods for Presenting Job Task Instructions
Job performance aiding, job performance aids, computer-based communications, audiovisual presentation methods, proceduralized -instruction ferhniques 19 ABSTRACT (Continue on reverse if necessary and identify by block number) This study compared the effects of previous task training/experience and alternative methods for presenting procedural instructions on job task performance. Six computer-b...
متن کاملDecomposition Methods
Decomposition methods are techniques for exploiting the tractable substructures of an integer program in order to obtain improved solution procedures. In particular, the goal is to derive improved methods of bounding the optimal solution value, which can then be used to drive a branch-andbound algorithm. Such methods are the preferred solution approaches for a wide range of important models ari...
متن کاملComparing Matrix Decomposition Methods for Meta-Analysis and Reconstruction of Cognitive Neuroscience Results
The results of 2,256 neuroimaging experiments were analyzed using singular value decomposition (SVD) and non-negative matrix factorization (NMF) to extract patterns in the data. To evaluate the techniques’ efficacy at capturing regularities in the data, one positive and one negative result from each of 100 random experiments were treated as missing, and the values were iteratively reconstructed...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
ژورنال
عنوان ژورنال: Epidemiology
سال: 2016
ISSN: 1044-3983
DOI: 10.1097/ede.0000000000000517