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Shoupa: An AI System for Early Diagnosis of Parkinson's Disease
Parkinson's Disease (PD) is a progressive nervous system disorder that has affected more than 5. 8 million people, especially the elderly.
Online Policy Optimization for Robust MDP
Reinforcement learning (RL) has exceeded human performance in many synthetic settings such as video games and Go.
Determination of action model equivalence and simplification of action model
Previous structural relationships sufficient for the action model equivalence, i. e. the bisimulation, the propositional action emulation, the action emulation, and the action emulation of canonical action models, can be described by various restricted versions of the generalized action emulation.
Control Theory Illustrates the Energy Efficiency in the Dynamic Reconfiguration of Functional Connectivity
The brain's functional connectivity fluctuates over time instead of remaining steady in a stationary mode even during the resting state.
Two ways towards combining Sequential Neural Network and Statistical Methods to Improve the Prediction of Time Series
Performance results show that both methods can outperform existing schemes that use models and learning separately, and the improvements can be over 60%.
ExpertBayes: Automatically refining manually built Bayesian networks
Bayesian network structures are usually built using only the data and starting from an empty network or from a naive Bayes structure.
