Possibility of Extracting Semantic Associates of Russian Verbs by the Instrument RusVectōrēs by M. K. Timofeeva

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Large-Scale Cortical Network Analysis and Classification of MI-BCI Tasks Based on Bayesian Nonnegative Matrix Factorization by Shiqi Yu, Bin Mao, Yuanhang Zhou, Yunhong Liu, Chanlin Yi, Fali Li, Dezhong Yao, Peng Xu, X. San Liang, Tao Zhang

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Task Learning Based on the Imitation of Object’s Goal by Carlos A. Acosta Calderon, Rajesh E. Mohan

“…Learning by imitation represents a useful and promising alternative to program robots. …”
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AUTHOR’S DIGITAL VIDEO: CREATING AND USING FOR THE LEARNING by Igor V. Riatshentcev, Viacheslav A. Starodubtsev

“…The article considers the functionality of software to construct the author’s video for its use in distance learning and its audiovisual implementation in the open educational space.…”
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Distributed learning process: principles of design and implementation by G. N. Boychenko, L. I. Kundozerova

“…Methodology proposed by authors determines specifi cs of educational objectives, learning content and distributed learning lifecycle design, approaches to implementing learning scenarios, as well as the functions and roles of students and teachers in a distributed interaction. …”
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Distilling Diverse Knowledge for Deep Ensemble Learning by Naoki Okamoto, Tsubasa Hirakawa, Takayoshi Yamashita, Hironobu Fujiyoshi

“…Therefore, we present a distillation strategy to promote network diversity for ensemble learning. Since different types of network diversity can be considered, we design loss functions to separate knowledge and automatically design an effective distillation strategy for ensemble learning by performing a hyperparameter search using these loss functions as hyperparameters. …”
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ALGORITHM FOR PHONOGRAM COMPARISON IN E-LEARNING SYSTEMS by V. V. Kiselev, A. G. Davydau, A. A. Tkachenia

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Learning Quantum Processes with Quantum Statistical Queries by Chirag Wadhwa, Mina Doosti

“…Finally, we demonstrate the practical relevance of our access model by applying our learning algorithm to attack an authentication protocol using Classical-Readout Quantum Physically Unclonable Functions, partially addressing an important open question in quantum hardware security.…”
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Predicting abatacept retention using machine learning by Rieke Alten, Claire Behar, Pierre Merckaert, Ebenezer Afari, Virginie Vannier-Moreau, Anael Ohayon, Sean E. Connolly, Aurélie Najm, Pierre-Antoine Juge, Gengyuan Liu, Angshu Rai, Yedid Elbez, Karissa Lozenski

“…Abstract Background The incorporation of machine learning is becoming more prevalent in the clinical setting. …”
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Machine learning on multiple topological materials datasets by Yuqing He, Pierre-Paul De Breuck, Hongming Weng, Matteo Giantomassi, Gian-Marco Rignanese

“…Abstract A dataset of 35,608 materials with their topological properties is constructed by combining the density functional theory (DFT) results of Materiae and the Topological Materials Database. …”
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Review of corpus tools for vocabulary teaching and learning by Ma Qing, Mei Fang

“…This review begins with providing basic concepts related to corpora and then illustrates how corpora can benefit language learning and teaching. To make better use of corpora, careful consideration needs to be given to how to choose an appropriate corpus and what specific corpus search functions should be used. …”
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Machine Learning Approaches for Software Defect Prediction by Hijab Zehra Zaidi, Ubaid Ullah, Muddassira Arshad, Hanan Aljuaid, Muhammad Arslan Rauf, Nadeem Sarwar, Rimsha Sajid

“…The review conducts assessments of typical metrics like accuracy and precision and recall and runtime performance yet extends its evaluation to analyze new trends combining deep learning with ensemble approaches to enhance software defect prediction functionality. …”
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Bare-Bones Teaching-Learning-Based Optimization by Feng Zou, Lei Wang, Xinhong Hei, Debao Chen, Qiaoyong Jiang, Hongye Li

“…Teaching-learning-based optimization (TLBO) algorithm which simulates the teaching-learning process of the class room is one of the recently proposed swarm intelligent (SI) algorithms. …”
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Dynamics of striatal action selection and reinforcement learning by Jack W Lindsey, Jeffrey Markowitz, Winthrop F Gillis, Sandeep R Datta, Ashok Litwin-Kumar

“…Spiny projection neurons (SPNs) in dorsal striatum are often proposed as a locus of reinforcement learning in the basal ganglia. Here, we identify and resolve a fundamental inconsistency between striatal reinforcement learning models and known SPN synaptic plasticity rules. …”
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An improved deep learning approach for speech enhancement by Malek Miled, Mohamed Anouar Ben Messaoud

“…First, we apply the intrinsic mode functions of the empirical mode decomposition and an improved version of principal component analysis. …”
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Deep Learning Design for Loss Optimization in Metamaterials by Xianfeng Wu, Jing Zhao, Kunlun Xie, Xiaopeng Zhao

“…In this work, we harness the concept of deep learning, combined with the principle of weak interactions in metamaterials, to re-examine and optimize previously validated disordered discrete metamaterials. …”
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Learning and Evolution: Factors Influencing an Effective Combination by Paolo Pagliuca

“…(1) Background: The mutual relationship between evolution and learning is a controversial argument among the artificial intelligence and neuro-evolution communities. …”
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Deep Learning System for E-Waste Management by Godfrey Perfectson Oise, Susan Konyeha

“…The system will be tested and the result evaluated to assess the functionality and adequacy of the system.…”
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ONLINE-SERVICES AND INFORMATION TECHNOLOGIES IN DISTANCE LEARNING by U. A. Vishniakou, A. P. Kovalev

“…The article deals with the analysis of distance learning (DL) methods, approaches, technologies, tools, the use as known online services so and developing the new ones. …”
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Adaptive mobile application for the CATS learning system by Y. V. Popova, I. V. Lehchylin

“…By formalizing the intellectual processes that are carried out by both the teacher and the student, it is possible to automate a certain part of the teacher’s functions, reduce manual labor costs, which will make it easier to control the educational process, as well as make the learning process more effective. …”
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