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Controlled carbonization of an Al‐MOF partially decomposes its linkers, exposing coordinatively unsaturated Al centers within an oxide/carbon composite. The resulting Lewis acid sites, rather than surface area, govern organochlorine capture: the composite removes chemically diverse organochlorines from waste plastic pyrolysis oil, outperforms a ...
Seong Cheon Kim +6 more
wiley +1 more source
Reasoning, the process of devising and executing complex goal-oriented action sequences, remains a critical challenge in AI. Current large language models (LLMs) primarily employ Chain-of-Thought (CoT) techniques, which suffer from brittle task ...
Guan Wang +8 more
semanticscholar +3 more sources
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Bayesian Econometric Methods, 2019
Hierarchical models are central to many current analyses of functional imaging data including random effects analysis, models using fMRI as priors for EEG source localization and spatiotemporal Bayesian modelling of imaging data [3].
George Jaiani
semanticscholar +5 more sources
Hierarchical models are central to many current analyses of functional imaging data including random effects analysis, models using fMRI as priors for EEG source localization and spatiotemporal Bayesian modelling of imaging data [3].
George Jaiani
semanticscholar +5 more sources
Using SAS PROC MIXED to Fit Multilevel Models, Hierarchical Models, and Individual Growth Models
Journal of Educational and Behavioral Statistics, 1998Judith Singer
exaly +2 more sources
Introduction to Hierarchical Modeling
Journal of Palliative Medicine, 2009Hierarchical modeling (HM) is a statistical technique that has gained in popularity in health care research. It has been used for analysis of secondary data, performance profiles or benchmarking studies, and in prospective trials. The technique is used in situations in which traditional regression analysis might lead to incorrect conclusions ...
Howard B, Degenholtz, Mamta, Bhatnagar
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Models of Hierarchal Replacement
IEEE Transactions on Reliability, 1979Replacement problems can take a wide variety of forms. We discuss techniques which can be applied to a rather broad class of problems, including as special cases many practical situations. The models incorporate allowances for both-i) replacement from aging stocks, ii) hierarchal structures for replacement elements of different kinds. For the most part,
Johnson, N. L., Kotz, Samuel
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Proceedings. 1998 IEEE Computer Society Conference on Computer Vision and Pattern Recognition (Cat. No.98CB36231), 2002
This paper presents a new technique for modelling object classes (such as faces) and matching the model to novel images from the object class. The technique can be used for a variety of image analysis applications including face recognition, object verification and facial expression analysis.
Michael J. Jones 0001, Tomaso A. Poggio
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This paper presents a new technique for modelling object classes (such as faces) and matching the model to novel images from the object class. The technique can be used for a variety of image analysis applications including face recognition, object verification and facial expression analysis.
Michael J. Jones 0001, Tomaso A. Poggio
openaire +1 more source
IEEE Transactions on Fuzzy Systems, 2018
In this study, we present a methodology of building a hierarchical framework of system modeling by engaging concepts and design methodology of granular computing. We demonstrate that it arises as a result of designing and using locally constructed models to develop a model of a global nature.
Rami Al-Hmouz +3 more
openaire +1 more source
In this study, we present a methodology of building a hierarchical framework of system modeling by engaging concepts and design methodology of granular computing. We demonstrate that it arises as a result of designing and using locally constructed models to develop a model of a global nature.
Rami Al-Hmouz +3 more
openaire +1 more source

