On a Unique Solution of a T-Maze Model Arising in the Psychology and Theory of Learning by Ali Turab, Wajahat Ali, Juan J. Nieto

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Motion-generation system for violin-playing robot using reinforcement learning differences in bowing parameters due to changes in learning conditions and sound pressure values by Kenzo Horigome, Koji Shibuya

“…It also presents simulation results on the differences in bowing parameters caused by changes in learning conditions and sound-pressure values. Regarding learning conditions, the learning rate, discount rate, search rate, and the number of units in the hidden layer in the neural network were changed in the simulation. …”
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Clinical and economic effectiveness of Schroth therapy in adolescent idiopathic scoliosis: insights from a machine learning- and active learning-based real-world study by Erdal Ayvaz, Merve Uca, Ednan Ayvaz, Zafer Yıldız

“…Recent advancements in active learning (AL) and machine learning (ML) techniques offer the potential to optimize treatment protocols by uncovering hidden predictors and enhancing model efficiency. …”
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Merumuskan Visi, Misi, Fungsi Dan Tujuan Pembelajaran Pendidikan Agama Islam by Muhammad Faizul Amirudin, Joni Helandri, Yuyun Cahyani Lusia, Vinny Melina, Riska Destri Dinanti

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Learning Multi-Attribute Differential Graphs With Non-Convex Penalties by Jitendra K. Tugnait

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Bayesian Q learning method with Dyna architecture and prioritized sweeping by Jun YU, Quan LIU, Qi-ming FU, Hong-kun SUN, Gui-xing CHEN

“…The algorithm mainly includes two parts: in the learning part, it models the transition function and reward function according to collected samples, and update Q value function by Bayesian Q-learning, in the programming part, it updates the Q value function by using prioritized sweeping and dynamic programming methods based on the constructed model, which can improve the efficiency of using the his-torical information. …”
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Proinflammatory Factors Mediate Paclitaxel-Induced Impairment of Learning and Memory by Zhao Li, Shuang Zhao, Hai-Lin Zhang, Peng Liu, Fei-Fei Liu, Yue-Xian Guo, Xiu-Li Wang

“…Paclitaxel treatment impairs learning and memory function, a side effect that reduces the quality of life of cancer survivors. …”
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Sequential patterning of dynamic brain states distinguish Parkinson’s disease patients with mild cognitive impairments by Aaron S. Kemp, A. Journey Eubank, Yahya Younus, James E. Galvin, Fred W. Prior, Linda J. Larson-Prior

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HRT-Net: A Cell-free Cooperative Sensing Method Based on Attention-weighted Hierarchical Network by Shengheng LIU, He YAN, Xingkang LI, Dazhuan XU, Dongming WANG, Yongming HUANG

Subjects: “…dual-functional radar-communication (dfrc)…”
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A Lightweight and High-Accuracy Model for Pavement Crack Segmentation by Yuhui Yu, Wenjun Xia, Zhangyan Zhao, Bin He

Subjects: “…deep learning…”
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Buried No longer: recent computational advances in explicit interfacial modeling of lithium-based all-solid-state battery materials by Julia H. Yang, Xinqiang Rao, Amanda Whai Shin Ooi

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Making sense of transformer success by Nicola Angius, Pietro Perconti, Alessio Plebe, Alessandro Acciai

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Performance of an End-to-End Inventory Demand Forecasting Pipeline Using a Federated Data Ecosystem by Henrique Duarte Moura, Els de Vleeschauwer, Gerald Haesendonck, Ben De Meester, Lynn D’eer, Tom De Schepper, Siegfried Mercelis, Erik Mannens

Subjects: “…machine learning…”
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Exploiting the similarity of dissimilarities for biomedical applications and enhanced machine learning. by Mohammad Neamul Kabir, Li Rong Wang, Wilson Wen Bin Goh

“…The "similarity of dissimilarities" is an emerging paradigm in biomedical science with significant implications for protein function prediction, machine learning (ML), and personalized medicine. …”
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Performance Analysis of Diabetes Detection Using Machine Learning Classifiers by Hung Huynh, Liu Hui, Ngoc Han Nguyen, Ruixuan Qiao

“…Three types of machine learning classifiers are used: Tree-based, Function-based, and Rule-based. …”
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Suppressing unknown disturbances to dynamical systems using machine learning by Juan G. Restrepo, Clayton P. Byers, Per Sebastian Skardal

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High-dimensional anticounterfeiting nanodiamonds authenticated with deep metric learning by Lingzhi Wang, Xin Yu, Tongtong Zhang, Yong Hou, Dangyuan Lei, Xiaojuan Qi, Zhiqin Chu

“…Considering the high performance of both fluorescent nanodiamonds labels and deep metric learning authentication, our work provides the basis for developing practical physical unclonable function anticounterfeiting systems.…”
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Learning dynamical systems with hit-and-run random feature maps by Pinak Mandal, Georg A. Gottwald

“…We consider the tanh activation function and judiciously choose the internal weights in a data-driven manner such that the resulting features explore the nonlinear, non-saturated regions of the activation function. …”
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Rough-Terrain Path Planning Based on Deep Reinforcement Learning by Yufeng Yang, Zijie Zhang

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A Machine Learning Model Relating Xrain and Rain Gauge by Miao Zhang, Christopher Gomez, Balazs Bradak, Hotta Norifumi, Shinohara Yoshinori

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