نتایج جستجو برای: محک آکائیک aic

تعداد نتایج: 3627  

2017
Arash Khojasteh Lida Kheiri Hossein Behnia Azita Tehranchi Pantea Nazeman Nasser Nadjmi Masoud Soleimani

Tissue regeneration has become a promising treatment for craniomaxillofacial bone defects such as alveolar clefts. This study sought to assess the efficacy of lateral ramus cortical plate with buccal fat pad derived mesenchymal stem cells (BFSCs) in treatment of human alveolar cleft defects. Ten patients with unilateral anterior maxillary cleft met the inclusion criteria and were assigned to th...

2010
Daniel F. Schmidt Enes Makalic

A typical approach to the problem of selecting between models of differing complexity is to choose the model with the minimum Akaike Information Criterion (AIC) score. This paper examines a common scenario in which there is more than one candidate model with the same number of free parameters which violates the conditions under which AIC was derived. The main result of this paper is a novel upp...

2005
HIROTUGU AKAIKE

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. The use of the AIC criterion in the factor analysis is particularly interesting whe...

1997
Joseph E. Cavanaugh Robert H. Shumway

We derive and investigate a variant of AIC, the Akaike information criterion, for model selection in settings where the observed data is incomplete. Our variant is based on the motivation provided for the PDIO (\predictive divergence for incomplete observation models") criterion of Shimodaira variant diiers from PDIO in its \goodness-of-t" term. Unlike AIC and PDIO, which require the computatio...

2014
Rongzong Kang Pengwu Tian Hongyi Yu

Analog-to-information converter (AIC) plays an important role in the compressed sensing system; it has the potential to significantly extend the capabilities of conventional analog-to-digital converter. This paper evaluates the impact of AIC nonlinearity on the dynamic performance in practical compressed sensing system, which included the nonlinearity introduced by quantization as well as the c...

Journal: :The Journal of clinical investigation 1982
R J Smith R J Koenig A Binnerts J S Soeldner T T Aoki

The formation of hemoglobin AIc was studied in intact human erythrocytes in vitro. Satisfactory methods were developed for maintaining erythrocytes under physiologic conditions for greater than 8 d with less than 10% hemolysis. Hemoglobin AIc levels were determined chromatographically on erythrocyte hemolysates after removal of reversible components by incubation for 6 h at 37 degree C. Hemoglo...

Journal: :J. Multivariate Analysis 2010
Muni S. Srivastava Tatsuya Kubokawa

In this paper, we consider the problem of selecting the variables of the fixed effects in the linear mixed models where the random effects are present and the observation vectors have been obtained frommany clusters. As the variable selection procedure, we here use the Akaike Information Criterion, AIC. In the context of the mixed linear models, two kinds of AIC have been proposed: marginal AIC...

2008
Radhika Veerla

Abstract— JPEG is a popular DCT-based still image compression standard, which has played an important role in image storage and transmission since its development. Advanced Image Coding (AIC) is a still image compression system which combines the intra frame block prediction from H.264 with a JPEG-based discrete cosine transform followed by context adaptive binary arithmetic coding (CABAC). It ...

2005
Tao Xiang Shaogang Gong

Learning visual context is a critical step of dynamic scene modelling. This paper addresses the problem of choosing the most suitable probabilistic model selection criterion for learning visual context of a dynamic scene. A Completed Likelihood Akaike’s Information Criterion (CL-AIC) is formulated to estimate the optimal model order (complexity) for a given visual scene. CL-AIC is designed to o...

2012
Tommy Dreyfus

Understanding how students construct abstract mathematical knowledge is a central aim of research in mathematics education. Abstraction in Context (AiC) is a theoretical-methodological framework for studying students’ processes of constructing abstract mathematical knowledge as they occur in a mathematical, social, curricular and learning-environment context. AiC builds on ideas by Freudenthal,...

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