Topic: high-dimensional Goto Github
Some thing interesting about high-dimensional
Some thing interesting about high-dimensional
high-dimensional,Particle Swarm Optimization Visualization
User: 0la0
high-dimensional,The Artificial Bee Colony (ABC) algorithm that optimizes high dimensional continuous model parameters.
User: andrejadd
high-dimensional,Characterization of intra-individual variability using physiologically relevant measurements provides important insights into fundamental biological questions ranging from cell type identity to tumor development. For each individual, the data measurements can be written as a matrix with the different subsamples of the individual recorded in the columns and the different phenotypic units recorded in the rows. Datasets of this type are called high-dimensional transposable data. The HDTD package provides functions for conducting statistical inference for the mean relationship between the row and column variables and for the covariance structure within and between the row and column variables.
User: anestistouloumis
Home Page: http://bioconductor.org/packages/HDTD/
high-dimensional,A Flexible and Powerful Parameter Server for large-scale machine learning
Organization: angel-ml
high-dimensional,Replicate the results of nowcasting housing sales by Google Queries, using Bayesian Structural Time-Series Model (Choi & Varian, 2009, 2012).
User: anhdanggit
high-dimensional,Octree/Quadtree/N-dimensional linear tree
User: attcs
high-dimensional,DataHigh: A graphical user interface for visualizing and interacting with high-dimensional neural activity
User: benjocowley
Home Page: http://users.ece.cmu.edu/~byronyu/software/DataHigh/datahigh.html
high-dimensional,R codes and dataset for the estimation of the high-dimensional state space model proposed in the paper "A dynamic factor model approach to incorporate Big Data in state space models for official statistics" with Franz Palm, Stephan Smeekes and Jan van den Brakel.
User: cateschi
Home Page: https://rss.onlinelibrary.wiley.com/doi/full/10.1111/rssa.12626
high-dimensional,Regularization Paths for Huber Loss Regression and Quantile Regression Penalized by Lasso or Elastic-Net
User: cy-dev
high-dimensional,Solution Paths of Sparse Linear Support Vector Machine with Lasso or ELastic-Net Regularization
User: cy-dev
high-dimensional,A fast, accurate, and modularized dimensionality reduction approach based on diffusion harmonics and graph layouts. Escalates to millions of samples on a personal laptop. Adds high-dimensional big data intrinsic structure to your clustering and data visualization workflow.
User: davisidarta
Home Page: https://dbmap.readthedocs.io/en/latest/
high-dimensional,Simple and efficient Python package for modeling d-dimensional Bravais lattices in solid state physics.
User: dylanljones
Home Page: https://lattpy.readthedocs.io/en/stable/
high-dimensional,R Package: Adaptively weighted group lasso for semiparametic quantile regression models
User: egpivo
Home Page: https://egpivo.github.io/QuantRegGLasso/
high-dimensional,flameplot is a python package for the quantification of local similarity across two maps or embeddings.
User: erdogant
Home Page: https://github.com/erdogant/flameplot
high-dimensional,Statistical inference in sparse high-dimensional additive models
User: gregorkb
high-dimensional,An Efficeint and Fast Wrapper-based High-dimensional Feature Selection(SIFE) in MATLAB
User: h-saadatmand
high-dimensional,Implementation of the FNETS methodology proposed in Barigozzi, Cho and Owens (2024) for network estimation and forecasting of high-dimensional time series
User: haeran-cho
high-dimensional,Random Forest Two Sample Testing
User: hedigers
Home Page: https://arxiv.org/abs/1903.06287
high-dimensional,This is a repository associated with the paper "Near-optimal sampling strategies for multivariate function on general domains" by Ben Adcock and Juan M. Cardenas available at https://epubs.siam.org/doi/10.1137/19M1279459 and https://arxiv.org/abs/1908.01249
User: jmcardenas
high-dimensional,This is a repository associated with the chapter book "Towards optimal sampling for learning sparse approximations in high dimensions" by Ben Adcock, Juan M. Cardenas, Nick Dexter and Sebastian Moraga to be published by Springer in late 2021, available at https://arxiv.org/abs/2202.02360
User: jmcardenas
high-dimensional,Open and explore HDF5 files in JupyterLab. Can handle very large (TB) sized files, and datasets of any dimensionality
Organization: jupyterlab
high-dimensional,Numerical illustration of a novel analysis framework for consensus-based optimization (CBO) and numerical experiments demonstrating the practicability of the method
User: konstantinriedl
high-dimensional,Numerical analysis of Particle Swarm Optimization (PSO) and numerical experiments demonstrating the practicability of the method
User: konstantinriedl
high-dimensional,[TMLR' 24] High-dimensional Bayesian Optimization via Covariance Matrix Adaptation Strategy
User: lamngo1
high-dimensional,Official Implementation of On Optimal Private Online Stochastic Optimization and High Dimensional Decision Making
User: liangzp
high-dimensional,Implementation MWPCR with R
User: luxiaoeei
high-dimensional,R package for Non-local Prior Based Iterative Variable Selection for Genome-Wide Association Studies, or Other High-Dimensional Data
User: nilotpalsanyal
Home Page: https://nilotpalsanyal.github.io/GWASinlps/
high-dimensional,Codes for Chandra, et al. (2021+). Escaping the curse of dimensionality in Bayesian model based clustering. Please refer to the original paper for details https://arxiv.org/abs/2006.02700
User: noirritchandra
high-dimensional,Biomarker selection in penalized regression models
Organization: oncostat
high-dimensional,Locally Sensitive Hashing based embedding for High Dimensional Multivariate Time Series
User: petroniocandido
high-dimensional,Lossless conversion algorithm for converting Cortical Learning Algorithm binary vectors to Modular Composite Representation vectors. Implements Integer Sparse Distributed Memory.
User: pulinagrawal
high-dimensional,SpokeDarts sphere-packing sampling in any dimension. Advancing front sampling from radial lines (spokes) through prior samples.
Organization: sandialabs
high-dimensional,Video Input Generative Adversarial Imitation Learning
User: sunghoonhong
high-dimensional,BioMM: Biological-informed Multi-stage Machine learning framework for phenotype prediction using omics data
Organization: transbiozi
high-dimensional,Controlled Invariant Sets in Two Moves
User: tzanis-anevlavis
high-dimensional,Implements "Clustering a Million Faces by Identity"
User: varun-suresh
high-dimensional,A q-quantile estimator for high-dimensional distributions
User: waschmann
high-dimensional,An R package for regression analysis of data from extreme sampling
User: xu1912
high-dimensional,Bayesian optimization with Standard Gaussian Processes on high dimensional benchmarks
User: xzt008
high-dimensional,Optimal Transport - Monge, Bregman and Occam Estimator (A Short Tutorial)
User: yedson54
high-dimensional,High-Dimensional Expensive Optimization by Classification-based Multiobjective Evolutionary Algorithm with Dimensionality Reduction
Organization: ynu-nakatalab
Home Page: https://ieeexplore.ieee.org/abstract/document/10354103
high-dimensional,A Dual Surrogate-based Evolutionary Algorithm for High-Dimensional Expensive Multiobjective Optimization Problems
Organization: ynu-nakatalab
Home Page: https://ieeexplore.ieee.org/abstract/document/10611944
high-dimensional,Multiple Classifiers-Assisted Evolutionary Algorithm Based on Decomposition for High-Dimensional Multiobjective Problems
Organization: ynu-nakatalab
Home Page: https://ieeexplore.ieee.org/document/9733428
high-dimensional,Evolutionary multiobjective optimization assisted by scalarization function approximation for high-dimensional expensive problems
Organization: ynu-nakatalab
Home Page: https://www.sciencedirect.com/science/article/pii/S221065022400049X
high-dimensional,A Bayesian multiscale deep learning framework for flows in random media
Organization: zabaras
Home Page: https://www.aimsciences.org/article/doi/10.3934/fods.2021016?viewType=html
high-dimensional,A numerical library for High-Dimensional option Pricing problems, including Fourier transform methods, Monte Carlo methods and the Deep Galerkin method
User: zewenshen
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