Results 1 to 10 of about 8,855 (158)
Digital medicine and the curse of dimensionality [PDF]
npj Digital Medicine, 2021 Digital health data are multimodal and high-dimensional. A patient’s health state can be characterized by a multitude of signals including medical imaging, clinical variables, genome sequencing, conversations between clinicians and patients, and ...
Visar Berisha +6 more
doaj +5 more sources
Resolution of the curse of dimensionality in single-cell RNA sequencing data analysis [PDF]
Life Science Alliance, 2022 This work formulates a noise reduction method, RECODE, which resolves the curse of dimensionality in noisy high-dimensional data, including scRNA-seq data, for effective downstream analyses.
Yusuke Imoto +9 more
doaj +2 more sources
Fractional Norms and Quasinorms Do Not Help to Overcome the Curse of Dimensionality [PDF]
Entropy, 2020 The curse of dimensionality causes the well-known and widely discussed problems for machine learning methods. There is a hypothesis that using the Manhattan distance and even fractional lp quasinorms (for p less than 1) can help to overcome the curse of ...
Evgeny M. Mirkes +2 more
doaj +2 more sources
Gene-gene interaction: the curse of dimensionality. [PDF]
Ann Transl Med, 2019 Identified genetic variants from genome wide association studies frequently show only modest effects on the disease risk, leading to the "missing heritability" problem. An avenue, to account for a part of this "missingness" is to evaluate gene-gene interactions (epistasis) thereby elucidating their effect on complex diseases.
Chattopadhyay A, Lu TP.
europepmc +4 more sources
Neural Mechanisms for Undoing the "Curse of Dimensionality". [PDF]
J Neurosci, 2015 Human behavior is marked by a sophisticated ability to attribute outcomes and events to choices and experiences with surprising nuance. Understanding the mechanisms that govern this ability is a major focus for cognitive neuroscience.
Vaidya AR.
europepmc +4 more sources
Rigid geometry solves "curse of dimensionality" effects in clustering methods: An application to omics data. [PDF]
PLoS ONE, 2017 The quality of samples preserved long term at ultralow temperatures has not been adequately studied. To improve our understanding, we need a strategy to analyze protein degradation and metabolism at subfreezing temperatures.
Shun Adachi
doaj +2 more sources
TOWARDS OVERCOMING THE CURSE OF DIMENSIONALITY IN PREDICTIVE MODELLING AND UNCERTAINTY QUANTIFICATION [PDF]
EPJ Web of Conferences, 2021 This invited presentation summarizes new methodologies developed by the author for performing high-order sensitivity analysis, uncertainty quantification and predictive modeling.
Cacuci Dan G.
doaj +3 more sources
Unsupervised Deep Embedded Clustering for High-Dimensional Visual Features of Fashion Images
Applied Sciences, 2023 Fashion image clustering is the key to fashion retrieval, forecasting, and recommendation applications. Manual labeling-based clustering is both time-consuming and less accurate.
Umar Subhan Malhi +5 more
doaj +1 more source
BMC Bioinformatics, 2023 The causes of many complex human diseases are still largely unknown. Genetics plays an important role in uncovering the molecular mechanisms of complex human diseases.
Yixin Zhang, Wei Liu, Weiliang Qiu
doaj +1 more source
Progress in Microbes and Molecular Biology, 2023 Biological data obtained from sequencing technologies is growing exponentially. Multi-omics data is one of the biological data that exhibits high dimensionality, or more commonly known as the curse of dimensionality.
Nuraina Syaza Azman +6 more
doaj +1 more source