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检索条件"机构=Algorithmic Dynamics Lab Unit of Computational Medicine"
33 条 记 录,以下是1-10 订阅
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Maximum Likelihood-Based Estimation of Finite Multivariate Libby-Novick Beta Mixture Models in Medical Applications
Maximum Likelihood-Based Estimation of Finite Multivariate L...
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2023 IEEE International Conference on Industrial Technology, ICIT 2023
作者: Samiee, Niloufar Manouchehri, Narges Bouguila, Nizar Concordia University MontrealQC Canada Karolinska Institute Algorithmic Dynamics Lab Unit of Computational Medicine Stockholm Sweden
The present study offers a Libby-Novick Beta mixture model, which is based on a generalisation of Beta distribution. As a result of having an additional shape parameter, Libby-Novick Beta distribution provides more fl... 详细信息
来源: 评论
A Fully Bayesian Inference Approach for Multivariate McDonald's Beta Mixture Model with Feature Selection  9
A Fully Bayesian Inference Approach for Multivariate McDonal...
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9th International Conference on Control, Decision and Information Technologies, CoDIT 2023
作者: Forouzanfar, Darya Manouchehri, Narges Bouguila, Nizar Karolinska Institute Algorithmic Dynamics Lab Unit of Computational Medicine Stockholm171 77 Sweden Concordia University Concordia Institute for Information Systems Engineering Montreal Canada
Mixture models are widely used in unsupervised machine learning applications where annotating a large amount of data is not feasible. They have succeeded in various real-world problems, including medical applications,... 详细信息
来源: 评论
algorithmically probable mutations reproduce aspects of evolution such as convergence rate, genetic memory, and modularity
arXiv
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arXiv 2017年
作者: Hernández-Orozco, Santiago Kiani, Narsis A. Zenil, Hector Mexico Algorithmic Dynamics Lab Unit of Computational Medicine SciLifeLab Department of Medicine Solna Centre for Molecular Medicine Stockholm Sweden Algorithmic Nature Group LABORES Paris France
Natural selection explains how life has evolved over millions of years from more primitive forms. The speed at which this happens, however, has sometimes defied formal explanations when based on random (uniformly dist... 详细信息
来源: 评论
A Fully Bayesian Inference Approach for Multivariate McDonald's Beta Mixture Model with Feature Selection
A Fully Bayesian Inference Approach for Multivariate McDonal...
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International Conference on Control, Decision and Information Technologies (CoDIT)
作者: Darya Forouzanfar Narges Manouchehri Nizar Bouguila Concordia University Concordia Institute for Information Systems Engineering Montreal Canada Algorithmic Dynamics Lab Unit of Computational Medicine Karolinska Institute Stockholm Sweden
Mixture models are widely used in unsupervised machine learning applications where annotating a large amount of data is not feasible. They have succeeded in various real-world problems, including medical applications,...
来源: 评论
Reprogramming matter, life, and purpose
arXiv
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arXiv 2017年
作者: Zenil, Hector Algorithmic Dynamics Lab Unit of Computational Medicine Center for Molecular Medicine SciLifeLab Karolinska Institute Stockholm Sweden Department of Computer Science University of Oxford Oxford United Kingdom Algorithmic Nature Group LABORES Paris France
Reprogramming matter may sound far-fetched, but we have been doing it with increasing power and staggering efficiency for at least 60 years, and for centuries we have been paving the way toward the ultimate reprogramm... 详细信息
来源: 评论
A Nonparametric Bayesian Framework for Multivariate Libby-Novick Beta Mixture Models
A Nonparametric Bayesian Framework for Multivariate Libby-No...
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International Conference on Control, Decision and Information Technologies (CoDIT)
作者: Niloufar Samiee Narges Manouchehri Nizar Bouguila Concordia Institute for Information Systems Engineering (CIISE) Concordia University Montreal Canada Algorithmic Dynamics Lab Unit of Computational Medicine Karolinska Institute Stockholm Sweden
This work presents a nonparametric Bayesian approach that utilizes a mixture of multivariate Libby-Novick Beta distributions to address clustering challenges. When using mixtures, model selection is a significant obst... 详细信息
来源: 评论
Maximum Likelihood-Based Estimation of Finite Multivariate Libby-Novick Beta Mixture Models in Medical Applications
Maximum Likelihood-Based Estimation of Finite Multivariate L...
收藏 引用
IEEE International Conference on Industrial Technology (ICIT)
作者: Niloufar Samiee Narges Manouchehri Nizar Bouguila Concordia Institute for Information Systems Engineering (CIISE) Concordia University Montreal QC Canada Algorithmic Dynamics Lab Unit of Computational Medicine Karolinska Institute Stockholm Sweden
The present study offers a Libby-Novick Beta mixture model, which is based on a generalisation of Beta distribution. As a result of having an additional shape parameter, Libby-Novick Beta distribution provides more fl...
来源: 评论
Compression is comprehension, and the unreasonable effectiveness of digital computation in the natural world
arXiv
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arXiv 2019年
作者: Zenil, Hector Oxford Immune Algorithmics Oxford University Innovation Oxford United Kingdom Algorithmic Dynamics Lab Unit of Computational Medicine Center for Molecular Medicine Karolinska Institute Stockholm Sweden Algorithmic Nature Group LABORES for the Natural and Digital Sciences Paris France
Chaitin’s work, in its depth and breadth, encompasses many areas of scientific and philosophical interest. It helped establish the accepted mathematical concept of randomness, which in turn is the basis of tools that... 详细信息
来源: 评论
Training-free measures based on algorithmic probability identify high nucleosome occupancy in DNA sequences
arXiv
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arXiv 2017年
作者: Zenil, Hector Minary, Peter Algorithmic Dynamics Lab Unit of Computational Medicine SciLifeLab Centre for Molecular Medicine Karolinska Institute Stockholm Sweden Department of Computer Science University of Oxford Oxford United Kingdom Algorithmic Nature Group LABORES for the Natural and Digital Sciences Paris France
We introduce and study a set of training-free methods of information-theoretic and algorithmic complexity nature applied to DNA sequences to identify their potential capabilities to determine nucleosomal binding sites... 详细信息
来源: 评论
Symmetry and algorithmic complexity of polyominoes and polyhedral graphs
arXiv
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arXiv 2018年
作者: Zenil, Hector Kiani, Narsis A. Tegnér, Jesper Algorithmic Dynamics Lab Centre for Molecular Medicine Karolinska Institute Stockholm Sweden Unit of Computational Medicine Department of Medicine Karolinska Institute Stockholm Sweden Science for Life Laboratory SciLifeLab Stockholm Sweden Algorithmic Nature Group LABORES for the Natural and Digital Sciences Paris France Saudi Arabia
We introduce a definition of algorithmic symmetry able to capture essential aspects of geometric symmetry. We review, study and apply a method for approximating the algorithmic complexity (also known as Kolmogorov-Cha... 详细信息
来源: 评论