Results 101 to 110 of about 8,034,918 (294)

Reinforcement Learning for Ramp Control: An Analysis of Learning Parameters

Promet (Zagreb), 2016
Reinforcement Learning (RL) has been proposed to deal with ramp control problems under dynamic traffic conditions; however, there is a lack of sufficient research on the behaviour and impacts of different learning parameters.
Chao Lu, Jie Huang, Jianwei Gong
doaj   +1 more source

Thalamo‐Lesional Connectivity Signatures of Bilateral Tonic–Clonic Seizures in Focal Cortical Dysplasia‐Related Epilepsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objectives Focal cortical dysplasia (FCD) is the most common etiology of drug‐resistant epilepsy in children. Focal to bilateral tonic–clonic seizures (FBTCS) mark a high risk of drug‐resistant epilepsy and involve thalamocortical circuitry in their generation and propagation.
Hua Xie, Xiaotong Li, Venkata Sita Priyanka Illapani, Leigh N. Sepeta, Jason Schroeder, Chima O. Oluigbo, Madison M. Berl, William D. Gaillard, Nathan T. Cohen   +8 more
wiley   +1 more source

Learning parameter curves in feedback-based quantum algorithms

Physical Review Research
Feedback-based quantum algorithms (FQAs) operate by iteratively growing a quantum circuit to optimize a given task. At each step, feedback from qubit measurements is used to inform the next quantum circuit update.
Vicente Peña Pérez, Matthew D. Grace, Christian Arenz, Alicia B. Magann   +3 more
doaj   +1 more source

From calibration to parameter learning: Harnessing the scaling effects of big data in geoscientific modeling. [PDF]

Nat Commun, 2021
Tsai WP, Feng D, Pan M, Beck H, Lawson K, Yang Y, Liu J, Shen C.   +7 more
europepmc   +1 more source

Quantitative MRI Uncovers Subtle Cortical Damage in Myelin Oligodendrocyte Glycoprotein Antibody‐Associated Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To determine whether myelin‐sensitive quantitative MRI reveals microstructural abnormalities in normal‐appearing cortex (NACtx) in myelin oligodendrocyte glycoprotein antibody–associated disease (MOGAD), indicating that conventional MRI underestimates remission residual cortical injury.
Valentina Camera, Agnese Tamanti, Silvia Messina, Nicola Dall'Osto, Teresa Maltempo, Stefano Ziccardi, Matteo Foschi, Maria Grazia Piscaglia, Diana Ferraro, Francesco Crescenzo, Francesca Rossi, Albulena Bajrami, Sabrina Marangoni, Damiano Marastoni, Francesca Benedetta Pizzini, Maria Isabel Leite, Roberta Magliozzi, Patrick Waters, Massimiliano Calabrese, Jacqueline Palace, Ruth Geraldes   +20 more
wiley   +1 more source

Learning as filtering: Implications for spike-based plasticity

PLoS Computational Biology, 2022
Most normative models in computational neuroscience describe the task of learning as the optimisation of a cost function with respect to a set of parameters.
Jannes Jegminat, Simone Carlo Surace, Jean-Pascal Pfister   +2 more
doaj  

Parameter optimised iterative learning control algorithm for multi-batch reactor

The Journal of Engineering, 2019
A two-dimensional iterative learning PID control algorithm with Markov tuning method for batch reaction process is presented in this study. The learning algorithm with parameters tuned by Markov method can be explicitly tackling the repetitiveness of ...
Shida Gao, Jun Li, Cuimei Bo, Junhua Yin, Yanping Liu   +4 more
doaj   +1 more source

PSR: Unified Framework of Parameter-Learning-Based MR Image Superresolution. [PDF]

J Healthc Eng, 2021
Liu H, Liu J, Li J, Pan JS, Yu X.
europepmc   +1 more source

Predictive Value of Composite Inflammatory Markers for Stroke Prognosis: A Prospective Cohort Study

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Background Novel composite inflammatory markers' role in stroke prognosis is understudied, and the best predictor is unclear, requiring further exploration. Objectives This study aimed to systematically evaluate the associations of 6 novel composite inflammatory markers on stroke prognosis.
Bing Wu, Jie‐Jie Li, Jing Jing, Jin‐Xi Lin, Xia Meng, Yong Jiang, Yong‐Jun Wang, Hong‐Qiu Gu   +7 more
wiley   +1 more source

QoS-Aware State-Augmented Learning for Wireless Coexistence Parameter Management

IEEE Transactions on Machine Learning in Communications and Networking
Efficient and fair coexistence in unlicensed spectrum is critical for next-generation wireless networks such as 5G New Radio in Unlicensed Spectrum (NR-U) and Wi-Fi, which contend for shared resources under diverse Quality of Service (QoS) requirements ...
Mohammad Reza Fasihi, Brian L. Mark, Omar A. Alotaibi   +2 more
doaj   +1 more source