Results 21 to 30 of about 9,222 (301)

An Investigation into the Relationship between Curse of Dimensionality and Dunning-Kruger Effect

Sakarya University Journal of Computer and Information Sciences, 2020
This study addresses a novel perspective for analyzing the source of confidence in human behavior. The concept of confidence was examined via the relationship between two phenomena in the area of machine learning and psychology, namely the Dunning-Kruger
Dr. Mehmet Cem Çatalbaş
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Detecting disease-associated genomic outcomes using constrained mixture of Bayesian hierarchical models for paired data. [PDF]

PLoS ONE, 2017
Detecting disease-associated genomic outcomes is one of the key steps in precision medicine research. Cutting-edge high-throughput technologies enable researchers to unbiasedly test if genomic outcomes are associated with disease of interest.
Yunfeng Li, Jarrett Morrow, Benjamin Raby, Kelan Tantisira, Scott T Weiss, Wei Huang, Weiliang Qiu   +6 more
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A Survey on Dimensionality Reduction Techniques for Time-Series Data

IEEE Access, 2023
Data analysis in modern times involves working with large volumes of data, including time-series data. This type of data is characterized by its high dimensionality, enormous volume, and the presence of both noise and redundant features.
Mohsena Ashraf, Farzana Anowar, Jahanggir H. Setu, Atiqul I. Chowdhury, Eshtiak Ahmed, Ashraful Islam, Abdullah Al-Mamun   +6 more
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A comprehensive survey of anomaly detection techniques for high dimensional big data

Journal of Big Data, 2020
Anomaly detection in high dimensional data is becoming a fundamental research problem that has various applications in the real world. However, many existing anomaly detection techniques fail to retain sufficient accuracy due to so-called “big data ...
Srikanth Thudumu, Philip Branch, Jiong Jin, Jugdutt (Jack) Singh   +3 more
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Neuro-dynamic Programming to Optimal Control of a Biotechnological Process [PDF]

International Journal Bioautomation
Dynamic programming (DP) is an elegant way to solve problems related to optimization and optimal control of processes. DP, however, has one major drawback, namely the “curse of dimensionality”.
Tatiana Ilkova, Mitko Petrov
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Using a Feature Subset Selection method and Support Vector Machine to address curse of dimensionality and redundancy in Hyperion hyperspectral data classification

Egyptian Journal of Remote Sensing and Space Sciences, 2018
The curse of dimensionality resulted from insufficient training samples and redundancy is considered as an important problem in the supervised classification of hyperspectral data. This problem can be handled by Feature Subset Selection (FSS) methods and
Amir Salimi, Mansour Ziaii, Ali Amiri, Mahdieh Hosseinjani Zadeh, Sadegh Karimpouli, Mostafa Moradkhani   +5 more
doaj   +1 more source

A survey of band selection techniques for hyperspectral image classification

Journal of Spectral Imaging, 2020
Hyperspectral images usually contain hundreds of contiguous spectral bands, which can precisely discriminate the various spectrally similar classes. However, such high-dimensional data also contain highly correlated and irrelevant information, leading to
Shrutika S. Sawant, Manoharan Prabukumar
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CNNs Avoid the Curse of Dimensionality by Learning on Patches

IEEE Open Journal of Signal Processing, 2023
Despite the success of convolutional neural networks (CNNs) in numerous computer vision tasks and their extraordinary generalization performances, several attempts to predict the generalization errors of CNNs have only been limited to a posteriori ...
Vamshi C. Madala, Shivkumar Chandrasekaran, Jason Bunk   +2 more
doaj   +1 more source

Breaking the curse of dimensionality in nonparametric testing [PDF]

Journal of Econometrics, 2008
zbMATH Open Web Interface contents unavailable due to conflicting licenses.
Lavergne, Pascal, Patilea, Valentin
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Curse of Dimensionality in Pivot Based Indexes [PDF]

2009 Second International Workshop on Similarity Search and Applications, 2009
9 pp., 4 figures, latex 2e, a revised submission to the 2nd International Workshop on Similarity Search and Applications ...
Volnyansky, Ilya, Pestov, Vladimir
openaire   +2 more sources