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Generalization ability of extreme learning machine with uniformly ergodic Markov chains., , , , и . Neurocomputing, (2015)A Control Strategy for Maintaining Gait Stability and Reducing Body-Exoskeleton Interference Force in Load-Carrying Exoskeleton., , , , и . Journal of Intelligent and Robotic Systems, 97 (2): 287-298 (2020)Group sparse additive machine with average top-k loss., , , , , , , и . Neurocomputing, (2020)Imbalanced metric learning for crashing fault residence prediction., , , , , , и . J. Syst. Softw., (2020)TSTSS: A two-stage training subset selection framework for cross version defect prediction., , , , , , , , и . J. Syst. Softw., (2019)Error analysis of regularized least-square regression with Fredholm kernel., , и . Neurocomputing, (2017)Hollywood and highland., , и . SIGGRAPH Electronic Art and Animation Catalog, стр. 146. ACM, (1999)Watermelon Ripeness Detection via Extreme Learning Machine with Kernel Principal Component Analysis Based on Acoustic Signals., , , и . Int. J. Pattern Recognit. Artif. Intell., 33 (8): 1951002:1-1951002:17 (2019)Attention-Based Deep Convolutional Network for Speech Recognition Under Multi-scene Noise Environment., , , , , , , и . ICONIP (9), том 1963 из Communications in Computer and Information Science, стр. 376-388. Springer, (2023)HDA: Cross-Project Defect Prediction via Heterogeneous Domain Adaptation With Dictionary Learning., , , , , и . IEEE Access, (2018)