Sökresultat - "High dimensional data analysis"

Typicality for Information Retrieval with Application on Sample Size Reduction of High Dimensional Data

Abdalla, Nada, Javed, Muhammad Umar, Forthomme, Damien

2024 International Conference on Machine Learning and Applications (ICMLA)

Proposing a Low-Rank Approximation Method with Mathematical Guarantees for High-Dimensional Tensor Data

Hasegawa, Hiroki, Yata, Kazuyoshi, Okada, Yukihiko, Kunimatsu, Jun

2024 IEEE International Conference on Big Data (BigData)

Multicolor Flow Cytometry and High-Dimensional Data Analysis to Probe Complex Questions in Vaccinology

Cole, Megan E.^Aff5, Guo, Yanping^Aff6, Cheeseman, Hannah M.^Aff7, Pollock, Katrina M.^Aff7

Bidmos, Fadil^Aff2, Bossé, Janine^Aff3, Langford, Paul^Aff4, Walker, John M.^Aff1

Identification of Important SNPs using Bayesian Deep Learning on Whole-Genome Arabidopsis thaliana Data

Kohli, Nikita, Tomal, Jabed, Yan, Yan

2023 IEEE International Conference on Bioinformatics and Biomedicine (BIBM)

A Bayesian Gaussian Process-Based Latent Discriminative Generative Decoder (LDGD) Model for High-Dimensional Data

Ziaei, N., Nazari, B., Eden, U.T., Widge, A.S., Yousefi, A.

Integrating Sparse Principal Component Analysis in High-Dimensional Partially Linear Models: A Local Polynomial Approach

Yilmaz, Ersin^Aff5, Aydin, Dursun^Aff5

Luo, Albert C. J., Series Editor^Aff1, Baleanu, Dumitru, editor^Aff2, Bayram, Mustafa, editor^Aff3, Secer, Aydin, editor^Aff4

Multivariate response directional regression: a projective resampling approach

Ahreum Lee, Kyongwon Kim

electronic resource

Visa

Methyl-CpG-Binding Domain Sequencing: MBD-seq

Aberg, Karolina A.^Aff3, Chan, Robin F.^Aff3, Xie, Linying^Aff3, Shabalin, Andrey A.^Aff3, van den Oord, Edwin J. C. G.^Aff3

Tost, Jörg^Aff2, Walker, John M.^Aff1

Performance of Minkowski-type Distances in Similarity Search - A Geometrical Approach

Singh, Arpan, Jayaram, Balasubramaniam

2020 IEEE 5th International Conference on Computing Communication and Automation (ICCCA)

On the Unsurprising Behaviour of Kernels in High Dimensions

Kaur, Avneet, Raj, Harsh, Jayaram, Balasubramaniam

2020 IEEE 5th International Conference on Computing Communication and Automation (ICCCA)

Fast and Positive Definite Estimation of Large Covariance Matrix for High-Dimensional Data Analysis

Wen, F., Chu, L., Ying, R., Liu, P.

XgCPred: Cell type classification using XGBoost-CNN integration and exploiting gene expression imaging in single-cell RNAseq data

Abu-Doleh, Anas ^⁎, Al Fahoum, Amjed

Learning From High-Dimensional Biomedical Datasets: The Issue of Class Imbalance

Pes, B.

Cluster-Specific Latent Factor Estimation in High-Dimensional Financial Time Series

Begusic, S., Kostanjcar, Z.

Neural network big data fusion in remote sensing image processing technology

Wu Xiaobo

electronic resource

Visa

Editorial: Application of novel statistical and machine-learning methods to high-dimensional clinical cancer and (multi-) omics data volume II

Chao Xu, Shaolong Cao, Md Ashad Alam

electronic resource

Visa; Visa

Minkowski-type distances in approximate query searches

Singh, Arpan^{Aff1, IDs40314024027048_cor1}, Jayaram, Balasubramaniam

Active surveillance pharmacovigilance for Clostridioides difficile infection and gastrointestinal bleeding: an analytic framework based on case-control studies

Vajravelu, Ravy K. ^{a, b, ∗}, Byerly, Amy R. ^a, Feldman, Robert ^c, Rothenberger, Scott D. ^c, Schoen, Robert E. ^a, Gellad, Walid F. ^{b, c}, Lewis, James D. ^d

Sequential Minimax Search for Multi-Layer Gene Grouping

Wang, W., Zhou, X., Chen, F., Cao, B.

Minimax lower bounds for ridge combinations including neural nets

Klusowski, Jason M., Barron, Andrew R.

2017 IEEE International Symposium on Information Theory (ISIT)