Results 121 to 130 of about 332,886 (299)
Accelerating Bayesian Network Parameter Learning Using Hadoop and MapReduce
, 2018 Learning conditional probability tables of large Bayesian Networks (BNs) with hidden nodes using the Expectation Maximization algorithm is heavily computationally intensive.
Aniruddha Basak (5458811) +3 more
core +1 more source
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 +4 more
doaj +1 more source
White Matter Microstructural Abnormalities in Neonatal Onset Genetic Epilepsy
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Recent evidence indicates that epilepsy is associated with abnormal white matter. If seizures alter white matter, then the impact upon network function, epileptogenesis, and cognition could be pronounced in neonates undergoing rapid developmental myelination. Neonates with epilepsy due to nonstructural genetic causes provide a unique
Amanda G. Sandoval Karamian +8 more
wiley +1 more source
Parameter learning of delayed Boolean control networks with missing observations
In this paper, a new and effective parameter learning method for delayed Boolean control networks (DBCNs) with missing observations is presented in this paper, which can handle strong noise and converge to the true parameter values in finite times.
Lulu Li, Wei Huang, Bosen Hu
core +1 more source
Adaptive Mission Abort Planning Integrating Bayesian Parameter Learning
MathematicsFailure of a safety-critical system during mission execution can result in significant financial losses. Implementing mission abort policies is an effective strategy to mitigate the system failure risk.
Yuhan Ma +4 more
doaj +1 more source
Cognitive and Neuroimaging Divergence Between Juvenile and Adult FUS Amyotrophic Lateral Sclerosis
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Amyotrophic lateral sclerosis (ALS) is a neurodegenerative disorder characterized by progressive motor neuron degeneration. Fused in sarcoma (FUS)‐associated juvenile ALS (jALS) represents a distinct and aggressive subgroup with rapid deterioration and poor prognosis.
Alexandra V. Jürs +7 more
wiley +1 more source
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 +8 more
wiley +1 more source
APPL: Adaptive Planner Parameter Learning
, 2022 While current autonomous navigation systems allow robots to successfully drive themselves from one point to another in specific environments, they typically require extensive manual parameter re-tuning by human robotics experts in order to function in ...
Warnell, Garrett +7 more
core +1 more source
Property-Based Testing for Parameter Learning of Probabilistic Graphical Models
, 2020 International audienceCode quality is a requirement for successful and sustainable software development. The emergence of Artificial Intelligence and data driven Machine Learning in current applications makes customized solutions for both data as well as
Behnam Taraghi +7 more
core +1 more source
A Parameter-Free Learning Automaton Scheme
CoRR, 2017 For a learning automaton, a proper configuration of its learning parameters, which are crucial for the automaton's performance, is relatively difficult due to the necessity of a manual parameter tuning before real applications. To ensure a stable and reliable performance in stochastic environments, parameter tuning can be a time-consuming and ...
openaire +2 more sources