Results 31 to 40 of about 4,674,587 (322)
Frontiers in Bioengineering and Biotechnology, 2022 Diabetes is the most common disease and a major threat to human health. Type 2 diabetes (T2D) makes up about 90% of all cases. With the development of high-throughput sequencing technologies, more and more fundamental pathogenesis of T2D at genetic and ...
Zhandong Li, Xiaoyong Pan, Yu-Dong Cai
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Autonomous clustering using rough set theory [PDF]
, 2008 This paper proposes a clustering technique that minimises the need for subjective human intervention and is based on elements of rough set theory. The proposed algorithm is unified in its approach to clustering and makes use of both local and global ...
A. K. Jain +33 more
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Causal Inference on Multivariate and Mixed-Type Data [PDF]
, 2019 Given data over the joint distribution of two random variables $X$ and $Y$, we consider the problem of inferring the most likely causal direction between $X$ and $Y$. In particular, we consider the general case where both $X$ and $Y$ may be univariate or multivariate, and of the same or mixed data types. We take an information theoretic approach, based
Marx, A., Vreeken, J.
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Journal of Applied Informatics and Computing, 2023 Penelitian ini bertujuan untuk membandingkan metode one-hot-encoding, Gower distance yang dikombinasikan dengan algoritma k-means, DBSCAN, dan OPTICS, serta k-prototype untuk pengelompokan data bertipe campuran.
Zahra Rizky Fadilah +1 more
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A Two-stage Method for Inverse Medium Scattering [PDF]
, 2012 We present a novel numerical method to the time-harmonic inverse medium scattering problem of recovering the refractive index from near-field scattered data.
Bakushinsky +30 more
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Continuous Diffusion for Mixed-Type Tabular Data
, 2023 Score-based generative models, commonly referred to as diffusion models, have proven to be successful at generating text and image data. However, their adaptation to mixed-type tabular data remains underexplored. In this work, we propose CDTD, a Continuous Diffusion model for mixed-type Tabular Data.
Mueller, Markus +2 more
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The Fundamental Difference Between Qualitative and Quantitative Data in Mixed Methods Research
Forum: Qualitative Social Research, 2023 Mixed methods research is commonly defined as the combination and integration of qualitative and quantitative data. However, defining these two data types has proven difficult.
Judith Schoonenboom
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On the mixed Cauchy problem with data on singular conics [PDF]
, 2007 We consider a problem of mixed Cauchy type for certain holomorphic partial differential operators whose principal part $Q_{2p}(D)$ essentially is the (complex) Laplace operator to a power, $\Delta^p$. We pose inital data on a singular conic divisor given
Author(s Ebenfelt +3 more
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Improved Estimation of Human Lipoprotein Kinetics with Mixed Effects Models. [PDF]
PLoS ONE, 2015 Mathematical models may help the analysis of biological systems by providing estimates of otherwise un-measurable quantities such as concentrations and fluxes.
Martin Berglund +4 more
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Multivariate Analysis of Mixed Data: The R Package PCAmixdata [PDF]
, 2017 Mixed data arise when observations are described by a mixture of numerical and categorical variables. The R package PCAmixdata extends standard multivariate analysis methods to incorporate this type of data.
Chavent, Marie +3 more
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