A decision-theoretic method for surrogate model selection
نویسندگان
چکیده
منابع مشابه
Decision Theoretic Foundations of Graphical Model Selection
This paper describes a decision theoretic for mulation of learning the graphical structure of a Bayesian Belief Network from data. This framework subsumes the standard Bayesian approach of choosing the model with the largest posterior probability as the solution of a decision problem with a 0-1 loss func tion and allows the use of more general loss functions able to trade-off the complexity o...
متن کاملa fuzzy anp decision model for strategic vendor selection
in this paper a fuzzy analytical network process model for supporting the vendor selection process in strategic situations is suggested. first, the vendor evaluation problem is putting together by use of the multi-criteria decision-making (mcdm) approach and a five-step hybrid process, which incorporates the technique of fuzzy analytical network process. then the modified topsis (technique for ...
متن کاملA model for employer’s decision for recruitment
This paper presents a theoretical and empirical analysis of this decision and how it relates to wage setting and the provision of general training. The theoretical framework is a promotion tournament involving M competing firms with heterogeneous productivities, two-level job hierarchies, and a fixed number of managerial positions. This paper also considers an alternative model based on variati...
متن کاملA DECISION-THEORETIC MODEL OF ASSISTANCE A Decision-Theoretic Model of Assistance
There is a growing interest in intelligent assistants for a variety of applications from organizing tasks for knowledge workers to helping people with dementia. However, a general framework that captures the notion of useful assistance is lacking. In this paper, we present and evaluate a decision-theoretic model of assistance. The objective is to observe a goal-directed agent and to select assi...
متن کاملA Decision Boundary Method for Embedding Selection
Abetract Previously, we have presented a method for embedding selection based on cluster analysis. In this paper, we described an embedding selection method based on a feature reduction transformation matrix. This method extracts features that are important for maintaining decision boundaries in the supervised clusters. Experimentally, we demonstrate that our method allow accurate prediction of...
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: Journal of Sound and Vibration
سال: 2008
ISSN: 0022-460X
DOI: 10.1016/j.jsv.2007.10.030