Results 51 to 60 of about 11,564,802 (285)

Online nonparametric Bayesian analysis of parsimonious Gaussian mixture models and scenes clustering

ETRI Journal, 2020
The mixture model is a very powerful and flexible tool in clustering analysis. Based on the Dirichlet process and parsimonious Gaussian distribution, we propose a new nonparametric mixture framework for solving challenging clustering problems. Meanwhile,
Ri‐Gui Zhou, Wei Wang
doaj   +1 more source

Nonparametric Click Modeling Using Dirichlet Process Mixture Model for Information Retrieval

IEEE Access
Click models are essential for comprehending user search behavior and enhancing ranking algorithms; nevertheless, current methodologies face challenges due to the variability of user interaction patterns across different query settings.
K. J. Amala, D. Rajeswari
doaj   +1 more source

Methodology for using a Bayesian nonparametric model to uncover universal patterns in color naming

MethodsX, 2021
Language is an integral part of society which enables communication among its members. To shed light on how words gain their meaning and how their meaning evolves over time, color naming is often used as a case study. The color domain can be defined by a
Kirbi Joe, Maryam Gooyabadi
doaj   +1 more source

Nonlinear Models Using Dirichlet Process Mixtures

J. Mach. Learn. Res., 2007
We introduce a new nonlinear model for classification, in which we model the joint distribution of response variable, y, and covariates, x, non-parametrically using Dirichlet process mixtures. We keep the relationship between y and x linear within each component of the mixture.
Babak Shahbaba, Radford M. Neal
openaire   +3 more sources

Influence of Scan Strategies in Electron Beam Powder Bed Fusion on Solidification, Microstructure, and High‐Temperature Compressive Properties of γ′‐Strengthened Inconel 738LC

Advanced Engineering Materials, EarlyView.
Experiments and thermophysical simulations were conducted to investigate the electron beam powder bed fusion electron beam (PBF‐EB/M) process for the γ′‐strengthened nickel‐based superalloy Inconel 738LC. The results demonstrate the impact of process‐induced microstructural variations on high‐temperature mechanical behavior, providing a basis for ...
Jan Niklas Petenati, Karthik Kumar Banku, Prasanth Bondi, Ivan Zhirnov, Yangyiwei Yang, Gordon Schmidt, Jürgen Christen, Georg Hasemann, Manja Krüger, Bai‐Xiang Xu, Bilal Gökce, Silja‐Katharina Rittinghaus   +11 more
wiley   +1 more source

Clustering and unconstrained ordination with Dirichlet process mixture models

Methods in Ecology and Evolution
Assessment of similarity in species composition or abundance across sampled locations is a common goal in multi‐species monitoring programs. Existing ordination techniques provide a framework for clustering sample locations based on species composition ...
Christian Stratton, Andrew Hoegh, Thomas J. Rodhouse, Jennifer L. Green, Katharine M. Banner, Kathryn M. Irvine   +5 more
doaj   +1 more source

GeS as an Emerging OTS Material: Atomic Structure and Modeling of ON/OFF Switching

Advanced Functional Materials, EarlyView.
The structural puzzle of glassy GeS, an advanced memory‐selector material, has finally been disentangled, revealing a patchwork of mixed tetrahedral and trigonal species. Under a high electric field, over‐ and under‐coordinated Ge and S defects, together with three‐membered rings, form an interconnected network associated with localized and extended ...
Andrey Tverjanovich, Jörg C. Neuefeind, Chris J. Benmore, Daniele Fontanari, Anton Sokolov, Maxim Khomenko, Shinji Kohara, Aleksei Bytchkov, Takeshi Usuki, Maria Bokova, Mohammad Kassem, Pascal Masselin, Mariana Milochova, Eugene Bychkov   +13 more
wiley   +1 more source

Data Driven Robust Energy and Reserve Dispatch Based on a Nonparametric Dirichlet Process Gaussian Mixture Model

Energies, 2020
Traditional robust optimization methods use box uncertainty sets or gamma uncertainty sets to describe wind power uncertainty. However, these uncertainty sets fail to utilize wind forecast error probability information and assume that the wind forecast ...
Li Dai, Dahai You, Xianggen Yin
doaj   +1 more source

R/BHC : fast Bayesian hierarchical clustering for microarray data [PDF]

, 2009
Background: Although the use of clustering methods has rapidly become one of the standard computational approaches in the literature of microarray gene expression data analysis, little attention has been paid to uncertainty in the results obtained ...
Grant, Murray, Katherine J Denby, Savage, R, Savage, Richard S., Xu, Yang, Denby Katherine J, Denby, Katherine J., David L Wild, Ghahramani, Z, Grant Murray, Richard S Savage, Truman, W, Truman, William M., Grant, M, Wild, David L., Murray Grant, Denby, K, Savage Richard S, William M Truman, Xu, Y, Ghahramani Zoubin, Truman William M, Heller Katherine, Katherine Heller, ,, Wild David L, Heller, KA, Heller, K. (Katherine), Yang Xu, Wild, DL, Ghahramani, Zoubin, Zoubin Ghahramani, Xu Yang   +32 more
core   +13 more sources

Configuration‐Encoded Cell Alignment by Light‐Gated Silicon Photovoltaic Microcell Arrays

Advanced Functional Materials, EarlyView.
Light‐gated silicon photovoltaic microcells convert pulsed illumination into localized electrical cues. Arranging otherwise similar microcells into four‐lobed, six‐lobed, or circular patterns directs fibroblasts into corresponding local arrangements without wired stimulation.
Yifan Tao, Ilayda Namli, Joseph Christakiran Moses, Youdi Liu, Suihong Liu, Syed Hasan Askari Rizvi, Yasar Ozer Yilmaz, Ibrahim T. Ozbolat   +7 more
wiley   +1 more source