A projection and density estimation method for knowledge discovery. by Adam Stanski, Olaf Hellwich

“…However, it is well known that the curse of dimensionality prevents a proper estimation of densities in high dimensions. …”
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Addressing the Effectiveness of DDoS-Attack Detection Methods Based on the Clustering Method Using an Ensemble Method by Alireza Zeinalpour, Hassan A. Ahmed

“…The curse of dimensionality, due to lots of network-traffic attributes, has a negative impact on machine learning algorithms in detecting distributed denial of service (DDoS) attacks. …”
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Support Vector Machine – Recursive Feature Elimination for feature selection on multi-omics lung cancer data by Azman, Nuraina Syaza, A. Samah, Azurah, Lin, Ji Tong, Abdul Majid, Hairudin, Ali Shah, Zuraini, Nies, Hui Wen, Chan, Weng Howe

“…Multi-omics data is one of the biological data that exhibits high dimensionality, or more commonly known as the curse of dimensionality. The curse of dimensionality occurs when the dataset contains many features or attributes but with significantly fewer samples or observations. …”
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irs-partition: An Intrusion Response System utilizing Deep Q-Networks and system partitions by Valeria Cardellini, Emiliano Casalicchio, Stefano Iannucci, Matteo Lucantonio, Sudip Mittal, Damodar Panigrahi, Andrea Silvi

“…It leverages the partitioning of the protected system and Deep Q-Networks to address the curse of dimensionality by supporting a multi-agent formulation. …”
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A modified generalized RBF model with EM-based learning algorithm for medical applications by Ma, Li Ya, Abdul Rahman, Abdul Wahab, Quek, Chai

“…One problem of classical RBF is that it suffers from curse of dimensionality that the number of basis functions will explode with the increase of dimensions in the dataset. …”
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Tensor-sparsity of solutions to high-dimensional elliptic partial differential equations by Dahmen, W, DeVore, R, Grasedyck, L, Süli, E

“…A recurring theme in attempts to break the curse of dimensionality in the numerical approximation of solutions to high-dimensional partial differential equations (PDEs) is to employ some form of sparse tensor approximation. …”

Swarm intelligence-based approach for educational data classification by Anwar Ali Yahya

“…To this end, this paper proposes a novel specialized initialization mechanism based on Rocchio Algorithm (RA) to mitigate the adverse effects of the curse of dimensionality on the PSC performance. Furthermore, in the design of the RA-based PSC model of questions classification, several feature selection approaches are investigated. …”
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Continuous Tensor Train-Based Dynamic Programming for High-Dimensional Zero-Sum Differential Games by Tal, Ezra, Gorodetsky, Alex, Karaman, Sertac

“…In order to alleviate the curse of dimensionality for a certain class of two-player pursuit-evasion games, we propose a novel dynamic-programming-based algorithm that uses a continuous tensor-train approximation to represent the value function. …”
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Statistical aspects of optimal transport by Stromme, Austin J.

“…Extending beyond the Gaussian case, however, is challenging due to the fundamental curse of dimensionality for OT, which motivates the study of a regularized, and in fact more computationally feasible, form of optimal transport, dubbed entropic optimal transport (entropic OT). …”
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CSR-Net: Camera Spectral Response Network for Dimensionality Reduction and Classification in Hyperspectral Imagery by Yunhao Zou, Ying Fu, Yinqiang Zheng, Wei Li

“…However, classifying each pixel in HSI accurately is challenging due to the <i>curse of dimensionality</i> and limited training samples. …”
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High Scalability Document Clustering Algorithm Based On Top-K Weighted Closed Frequent Itemsets by Gede Aditra Pradnyana, Arif Djunaidy

“…Documents clustering based on frequent itemsets can be regarded a new method of documents clustering which is aimed to overcome curse of dimensionality of items produced by documents being clustered. …”
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Sparse Flexible Reduced-Volterra Model for Power Amplifier Digital Pre-Distortion by Cyro S. Hemsi, Cristiano M. Panazio

“…In practice, the full-Volterra (FV) model is avoided due to the so-called curse of dimensionality, which has motivated several Volterra pruning techniques in the literature. …”
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Two-Stage Evolutionary Algorithm Based on Subspace Specified Searching for Hyperspectral Endmember Extraction by Cong Lei, Rong Liu, Ye Tian

“…A novel solution space splitting strategy is incorporated into TSEA that efficiently mitigates the curse of dimensionality by strategically contracting the search space. …”
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Deep Neural Fuzzy System Oriented toward High-Dimensional Data and Interpretable Artificial Intelligence by Dewang Chen, Jijie Cai, Yunhu Huang, Yisheng Lv

“…However, they have difficulty dealing with high-dimensional data due to the curse of dimensionality. To effectively handle high-dimensional data and ensure optimal performance, this paper presents a deep neural fuzzy system (DNFS) based on the subtractive clustering-based ANFIS (SC-ANFIS). …”
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Unsupervised Deep Embedded Clustering for High-Dimensional Visual Features of Fashion Images by Umar Subhan Malhi, Junfeng Zhou, Cairong Yan, Abdur Rasool, Shahbaz Siddeeq, Ming Du

“…However, high dimensions can lead to the curse of dimensionality, which makes subsequent clustering difficult. …”
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A tensor-train-decomposition-based algorithm for high-dimensional pursuit-evasion games by Grimm, Christopher Lee, Jr

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RN-Autoencoder: Reduced Noise Autoencoder for classifying imbalanced cancer genomic data by Ahmed Arafa, Nawal El-Fishawy, Mohammed Badawy, Marwa Radad

“…Abstract Background In the current genomic era, gene expression datasets have become one of the main tools utilized in cancer classification. Both curse of dimensionality and class imbalance problems are inherent characteristics of these datasets. …”
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Electric vehicle clusters scheduling strategy considering real-time electricity prices based on deep reinforcement learning by Kang Wang, Haixin Wang, Junyou Yang, Jiawei Feng, Yunlu Li, Shiyu Zhang, Martin Onyeka Okoye

“…However, the schedule of the C–D system of EV clusters encounters the curse of dimensionality problem. In addition, the performance of the C–D control strategy faces great challenges of environmental uncertainty of user demand and electricity price. …”
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Simulation-based optimization of Markov decision processes by Marbach, Peter, 1966-

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Using Recurrent Networks for Dimensionality Reduction by Jones, Michael J.

“…The main problem with learning high-dimensional functions is the curse of dimensionality which roughly states that the number of examples needed to learn a function increases exponentially with input dimension. …”
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