A feature selection and scoring scheme for dimensionality reduction in a machine learning task by PHILEMON UTEN EMMOH, christopher ifeanyi Eke, Timothy Moses

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Detecting phase transitions in collective behavior using manifold's curvature by Kelum Gajamannage, Erik M. Bollt

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Band Selection Algorithm Based on Multi-Feature and Affinity Propagation Clustering by Junbin Zhuang, Wenying Chen, Xunan Huang, Yunyi Yan

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Forward Kinematics Analysis of Quadruped Bionic Robot with Spine based on Dimensionality-reduction Method by Wang Liangwen, Mu Yalin, Yue Lei, Li Hongpeng, Wang Xinjie, Du Wenliao

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Short-Term Optimal Scheduling Method of Cascade Hydropower Stations Based on Segmented Load Construction Strategy by LI Chonghao, LI Shushan, TANG Hongbing, LIU Huan, MA Xiangyu, LIAO Shengli

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Gaussian process latent variable models-ANN based method for automatic features selection and dimensionality reduction for control of EMG-driven systems by Maham Nayab, Asim Waris, Muhammad Jawad Khan, Dokhyl AlQahtani, Ahmed Imran, Syed Omer Gilani, Umer Hameed Shah

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Alignment of vector fields on manifolds via contraction mappings by O.N. Kachan, Yu.A. Yanovich, E.N. Abramov

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Applicability of the multifactor dimensionality reduction methodology to the analysis of variables in sanitary buildings by Alejandro Prieto-Fernández, Álvaro Carmona-Baltasar, Jaime Gónzalez-Domínguez, Manuel Botejara-Domínguez, Gonzalo Sánchez-Barroso, Justo García-Sanz-Calcedo

Subjects: “…multifactor dimensionality reduction; engineering; healthcare building; machine learning; data mining…”
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SSMM: Semi-supervised manifold method with spatial-spectral self-training and regularized metric constraints for hyperspectral image dimensionality reduction by Bei Zhu, Yao Jin, Xuehua Guan, Yanni Dong

Subjects: “…Dimensionality reduction…”
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A Reinforcement Learning Model for Optimal Treatment Strategies in Intensive Care: Assessment of the Role of Cardiorespiratory Features by Cristian Drudi, Maximiliano Mollura, Li-wei H. Lehman, Riccardo Barbieri

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Comparison of Feature Selection and Feature Extraction Role in Dimensionality Reduction of Big Data by Haidar Khalid Malik, Nashaat Jasim Al-Anber, Fuad AbdoEsmail Al- Mekhlafi

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A novel lightweight Machine Learning framework for IoT malware classification based on matrix block mean Downsampling by Mahmoud E. Farfoura, Ibrahim Mashal, Ahmad Alkhatib, Radwan M. Batyha, Didi Rosiyadi

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Novel Considerations in the ML/AI Modeling of Large-Scale Learning Loss by Mirna Elizondo, June Yu, Daniel Payan, LI Feng, Jelena Tesic

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EFMDR-Fast: An Application of Empirical Fuzzy Multifactor Dimensionality Reduction for Fast Execution by Sangseob Leem, Taesung Park

Subjects: “…multi-factor dimensionality reduction…”
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Enhancing Binary Change Detection in Hyperspectral Images Using an Efficient Dimensionality Reduction Technique Within Adversarial Learning by Amel Oubara, Falin Wu, Guoxin Qu, Reza Maleki, Gongliu Yang

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Application of machine learning techniques for warfarin dosage prediction: a case study on the MIMIC-III dataset by Aasim Ayaz Wani, Fatima Abeer

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swaRmverse: An R package for the comparative analysis of collective motion by Marina Papadopoulou, Simon Garnier, Andrew J. King

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Task relevant autoencoding enhances machine learning for human neuroscience by Seyedmehdi Orouji, Vincent Taschereau-Dumouchel, Aurelio Cortese, Brian Odegaard, Cody Cushing, Mouslim Cherkaoui, Mitsuo Kawato, Hakwan Lau, Megan A. K. Peters

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A new dimensionality reduction technique based on the Wavelet Transform for cancer classification by Lisardo Fernández, Mariano Pérez, Juan M. Orduña, José M. Alcaraz

Subjects: “…Dimensionality reduction…”
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Unsupervised dimensionality reduction method for multivariate time series based on global and local scatter by Zhengxin LI, Gang HU, Fengming ZHANG, Xiaofeng ZHANG, Yongmei ZHAO

Subjects: “…unsupervised dimensionality reduction…”
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