Results 91 to 100 of about 1,253,621 (308)
Dual Query: Practical Private Query Release for High Dimensional Data
The Journal of Privacy and Confidentiality, 2017 We present a practical, differentially private algorithm for answering a large number of queries on high dimensional datasets. Like all algorithms for this task, ours necessarily has worst-case complexity exponential in the dimension of the data. However,
Marco Gaboardi +4 more
doaj +1 more source
Molecular Oncology, EarlyView.We identify USP29 as the only DUB mirroring CA9 expression, a marker of hypoxia and HIF pathway activation associated with PCA aggressiveness. USP29 stabilizes HIF‐1α and HIF‐2α via a noncanonical mechanism that is independent of PHD/pVHL activity yet relies on proteasomal regulation, establishing USP29 as a previously unrecognized regulator of hypoxic
Amelie S Schober +16 more
wiley +1 more source
Regularized and robust regression methods for high dimensional data [PDF]
, 2014 This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University London.Recently, variable selection in high-dimensional data has attracted much research interest.
Hashem, Hussein Abdulahman
core
High-dimensional Change Point Analysis for Categorical Data
, 2023 Statistical change point analysis is concerned with identifying abrupt changes in the data, generally observed as a time series, that are due to changes in the underlying distribution and not to random fluctuations.
Wanshan Li (4929634)
core +1 more source
Guided quantum compression for high dimensional data classification
Machine Learning: Science and TechnologyQuantum machine learning provides a fundamentally different approach to analyzing data. However, many interesting datasets are too complex for currently available quantum computers.
Vasilis Belis +5 more
doaj +1 more source
Molecular Oncology, EarlyView.The novel styrylquinazolinone‐based molecule W1B effectively suppresses glioblastoma by inhibiting IGF1R and EGFR. In high‐glucose microenvironments driving tumor resistance, W1B acts synergistically with the EGFR inhibitor dacomitinib. This combination safely blocks compensatory survival signaling in zebrafish xenograft models. Showcasing promising in
Patryk Rurka +9 more
wiley +1 more source
Visualization for high-dimensional data: VisHD
, 2011 [[abstract]]This paper presents a visualization tool, VisHD, that can visualize the spatial distribution of vector points in high dimensional feature space. It is important to handle high dimensional information in many areas of computer science.
Chiang, Cheng-Chieh +3 more
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SLSB-forest:approximate k nearest neighbors searching on high dimensional data
Dianxin kexue, 2017 The study of approximate k nearest neighbors query has attracted broad attention.Local sensitive hash is one of the mainstream ways to solve this problem.Local sensitive hash and its varients have noted the following problems:the uneven distribution of ...
Tu QIAN +3 more
doaj +2 more sources
KERNEL LOGISTIC REGRESSION-LINEAR FOR LEUKEMIA CLASSIFICATION USING HIGH DIMENSIONAL DATA
JUTI: Jurnal Ilmiah Teknologi Informasi, 2009 Kernel Logistic Regression (KLR) is one of the statistical models that has been proposed for classification in the machine learning and data mining communities, and also one of the effective methodologies in the kernel–machine techniques.
S P Rahayu +3 more
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Liquid biopsy‐based diagnostic evaluation of hypermethylated CpG sites for ovarian cancer diagnosis
Molecular Oncology, EarlyView.This schematic outlines the workflow from biomarker identification to duplex MethyLight assay validation for epithelial ovarian cancer diagnosis using cfDNA‐based liquid biopsy. Initial screening of hypermethylated CpG candidates (cg02957270, cg10061138 cg00480298, COL2A1) was performed in tissue using ARMS‐PCR, COBRA, qPCR and image analysis. Selected
Deepa Bisht +3 more
wiley +1 more source