The Role of Model Selection in Preference Learning by Michael Andrew Huelsman, Miroslaw Truszczynski

“…Learning preferences of an agent requires choosing which preference representation to use. …”
Get full text

Node selection method in federated learning based on deep reinforcement learning by Wenchen HE, Shaoyong GUO, Xuesong QIU, Liandong CHEN, Suxiang ZHANG

Subjects: “…federated learning…”
Get full text

Node selection method in federated learning based on deep reinforcement learning by Wenchen HE, Shaoyong GUO, Xuesong QIU, Liandong CHEN, Suxiang ZHANG

Subjects: “…federated learning;model aggregation;node selection;deep reinforcement learning;accuracy…”
Get full text

Dynamics of striatal action selection and reinforcement learning by Jack W Lindsey, Jeffrey Markowitz, Winthrop F Gillis, Sandeep R Datta, Ashok Litwin-Kumar

“…In our model, learning and action selection signals can be multiplexed without interference, enabling learning algorithms beyond those of standard temporal difference models.…”
Get full text

Selecting learning partners: memory for participation and competence by Oktay Ülker, Daniel Bodemer

“…In different contexts, the selection process can depend on group awareness, i.e., the state of being informed about relevant social or cognitive characteristics of (potential) learning partners, like their participation or competence. …”
Get full text

Adaptive Federated Learning With Reinforcement Learning-Based Client Selection for Heterogeneous Environments by Shamim Ahmed, M. Shamim Kaiser, Sudipto Chaki, A. B. M. Shawkat Ali

Subjects: “…Adaptive federated learning…”
Get full text

Selective laser cleaning of microbeads using deep learning by Yuchen Liu, James A. Grant-Jacob, Yunhui Xie, Fedor Chernikov, Michalis N. Zervas, Ben Mills

“…In this work, we demonstrate a concept of selective laser cleaning via the application of femtosecond laser pulses and polystyrene microbeads with a diameter of 15 μm. …”
Get full text

Machine learning driven biomarker selection for medical diagnosis. by Divyagna Bavikadi, Ayushi Agarwal, Shashank Ganta, Yunro Chung, Lusheng Song, Ji Qiu, Paulo Shakarian

“…In this study, we evaluate 4 different methods for biomarker selection and 5 different machine learning (ML) classifiers for identifying correlations-evaluating 20 approaches in all. …”
Get full text

Optimum Medium PRF Selection Using Reinforcement Learning by Hyunhak Kim, Yeo-Sun Yoon, Jinho An

Get full text

Machine learning driven biomarker selection for medical diagnosis by Divyagna Bavikadi, Ayushi Agarwal, Shashank Ganta, Yunro Chung, Lusheng Song, Ji Qiu, Paulo Shakarian

Get full text

MACHINE LEARNING AS A CORPORATION'S TOOL FOR SELECTION OF SUPPLIERS by V. V. Baklushinskii, E. V. Pustynnikova

Get full text

An interpretable integrated machine learning framework for genomic selection by Jinbu Wang, Jia Zhang, Wenjie Hao, Wencheng Zong, Mang Liang, Fuping Zhao, Longchao Zhang, Lixian Wang, Huijiang Gao, Ligang Wang

Subjects: “…Genomic selection…”
Get full text

Causality, Machine Learning, and Feature Selection: A Survey by Asmae Lamsaf, Rui Carrilho, João C. Neves, Hugo Proença

Subjects: Get full text

An efficient leukemia prediction method using machine learning and deep learning with selected features. by Mahwish Ilyas, Muhammad Ramzan, Mohamed Deriche, Khalid Mahmood, Anam Naz

“…The proposed approach utilizes the 25 most differentiating selected features for classification using machine and deep learning techniques. …”
Get full text

Prediction of Banks Efficiency Using Feature Selection Method: Comparison between Selected Machine Learning Models by Hamzeh F. Assous

“…This study aims to examine the main determinants of efficiency of both conventional and Islamic Saudi banks and then choose the best fit model among machine learning prediction models (i.e., support vector machine (SVM), Chi-squared automatic interaction detector (Chaid), linear regression, and neural network (NN)). …”
Get full text

Active learning for efficient data selection in radio‐signal‐based positioning via deep learning by Vincent Corlay, Milan Courcoux‐Caro

Get full text

Federated Learning for All: A Reinforcement Learning-Based Approach for Ensuring Fairness in Client Selection by Saeedeh Ghazi, Saeed Farzi, Amirhossein Nikoofard

Subjects: “…Client selection…”
Get full text

Selective transfer learning with adversarial training for stock movement prediction by Yang Li, Hong-Ning Dai, Zibin Zheng

“…This paper contributes a new stock movement prediction model, Selective Transfer Learning with Adversarial Training (STLAT). …”
Get full text

Machine Learning for Selecting High-Energy Phosphate Cathode Materials by Yongchun Dang, Zechen Li, Yongchao Yu, Xiwei Bai, Li Wang, Xuelei Wang, Peng Liu, Chen Sun, Xunli Zhou, Zhenpo Wang, Yongjie Zhao, Xiangming He, Lei Li

Get full text

Automatic Selection of Machine Learning Models for Armed People Identification by Alonso Javier Amado-Garfias, Santiago Enrique Conant-Pablos, Jose Carlos Ortiz-Bayliss, Hugo Terashima-Marin

Get full text