نتایج جستجو برای: معیار bic

تعداد نتایج: 29932  

Journal: :IEEE Journal of Selected Topics in Quantum Electronics 2023

In this paper, we present a Bound states in the continuum (BIC) metamaterial heterogeneous structures based on coupled mode theory. We find more general physical parameters to represent BIC, which are resonant frequencies and corresponding phases of structures. Therefore, BIC comes from equal value not only for homogeneous Meanwhile, if one structure's frequency phase vary by varying geometry, ...

Journal: :Journal of Machine Learning Research 2002
Dmitry Rusakov Dan Geiger

We develop a closed form asymptotic for­ mula to compute the marginal likelihood of data given a naive Bayesian network model with two hidden states and binary features. This formula deviates from the standard BIC score. Our work provides a concrete example that the BIC score is generally not valid for statistical models that belong to a stratified exponential family. This stands in contrast to...

2008
Qinpei Zhao Ville Hautamäki Pasi Fränti

Bayesian Information Criterion (BIC) is a promising method for detecting the number of clusters. It is often used in model-based clustering in which a decisive first local maximum is detected as the number of clusters. In this paper, we re-formulate the BIC in partitioning based clustering algorithm, and propose a new knee point finding method based on it. Experimental results show that the pro...

2009
Xin Gao Daniel Q. Pu Yuehua Wu XIN GAO DANIEL Q. PU YUEHUA WU HONG XU

In a Gaussian graphical model, the conditional independence between two variables are characterized by the corresponding zero entries in the inverse covariance matrix. Maximum likelihood method using the smoothly clipped absolute deviation (SCAD) penalty (Fan and Li, 2001) and the adaptive LASSO penalty (Zou, 2006) have been proposed in literature. In this article, we establish the result that ...

2017
Maud Delattre Marc Lavielle Marie-Anne Poursat

The Bayesian Information Criterion (BIC) is widely used for variable selection in mixed effects models. However, its expression is unclear in typical situations of mixed effects models, where simple definition of the sample size is not meaningful. We derive an appropriate BIC expression that is consistent with the random effect structure of the mixed effects model. We illustrate the behavior of...

2016
Kyung-In Jeong Young-Kyun Kim Sang-Woon Moon Su-Gwan Kim Sung-Chul Lim Pil-Young Yun

The purpose of this study is to evaluate the degree of osseointegration of resorbable blasting media (RBM) surface implants retrieved from humans. Three implants in the mandibular molar region that were surface-treated with RBM were retrieved from two patients. The implants were used to manufacture specimens in order to measure the bone-implant contact (BIC) ratio. The BIC ratios of the three i...

پایان نامه :وزارت علوم، تحقیقات و فناوری - دانشگاه رازی - دانشکده علوم 1392

انتخاب مدل، مقدمه تحلیل داده ها است. به همین منظور روش های مختلفی برای انتخاب مدل توسعه یافته است. این موضوع در حضور داده های دورافتاده حساسیت بیشتری دارد. داده های دورافتاده، داده هایی هستند که می توانند برآوردگرهای کلاسیک را تحت تاثیر قرار دهند. لذا تحلیل های مبتنی بر آنها بی اعتبار می شود. در آمار نیرومند، روش ها و برآوردگرهایی پیشنهاد می گردد که با وجود داده های دورافتاده، تحلیل های قابل اع...

1998
Scott Saobing Chen Ponani S. Gopalakrishnan

One difficult problem we are often faced with in clustering analysis is how to choose the number of clusters. In this paper, we propcse to choose the number of clusters by optimizing the Bq2yesian information criterion (BIC), a model selection criierion in the statistics literature. We develop a termination criterion for the hierarchical clustering methods which optimizes the BIC criterion in a...

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