Results 91 to 100 of about 4,859,978 (293)
Pattern Recognition With Weighted Complex Networks [PDF]
, 2008 In this paper we introduce a weighted complex networks model to investigate and recognize structures of patterns. The regular treating in pattern recognition models is to describe each pattern as a high-dimensional vector which however is insufficient to
Cheh, J (reprint author), Xiamen Univ, Dept Phys, Inst Theoret Phys & Astrophys, Xiamen 361005, Peoples R China. +2 more
core +2 more sources
Machine learning and essentialism
Zagadnienia Filozoficzne w Nauce, 2022 Machine learning and essentialism have been connected in the past by various researchers, in order to state that the main paradigm in machine learning processes is equivalent to choosing the “essential” attributes for the machine to search for.
Kristina Šekrst, Sandro Skansi
doaj
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Progressive brain atrophy has now been widely observed in the chronic stages of moderate–severe traumatic brain injury (msTBI), but there is only coarse information regarding its prevalence and magnitude, and whether rate of atrophy accelerates or attenuates across time. We examined these questions in a Canadian inception cohort from
Robin E. A. Green +6 more
wiley +1 more source
Author Correction: A large dataset of semantic ratings and its computational extension
Scientific Data, 2023 Shaonan Wang +6 more
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Real-world objects are more memorable than photographs of objects
Frontiers in Human Neuroscience, 2014 Research studies in psychology typically use two-dimensional (2D) images of objects as proxies for real-world three-dimensional (3D) stimuli. There are, however, a number of important differences between real objects and images that could influence ...
Jacqueline C Snow +3 more
doaj +1 more source
Human emotion and StO2: Dataset, pattern, and recognition of basic emotions
Emotions can be recognized through facial expressions, but this becomes challenging when facial expressions are deliberately manipulated. This study introduces tissue oxygen saturation (StO2), a non-contact measured physiological signal of hemoglobin ...
Liu, Xinyu +5 more
core +1 more source
Contributions to High-Dimensional Pattern Recognition [PDF]
, 2011 This thesis gathers some contributions to statistical pattern recognition particularly targeted at problems in which the feature vectors are high-dimensional.
Villegas Santamaría, Mauricio
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Boundary‐Dependent Sleep–Wake Dysregulation in Idiopathic Hypersomnia
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Idiopathic hypersomnia (IH) presents with excessive daytime sleepiness (EDS) despite apparently preserved nocturnal sleep, challenging traditional models of hypersomnolence based on sleep loss or fragmentation. We aimed to test the hypothesis that EDS in IH reflects excessive stabilization of the sleep state, consistent with ...
Samantha Mombelli +13 more
wiley +1 more source
Opposite Epigenetic Associations With Alcohol Use and Exercise Intervention
Frontiers in Psychiatry, 2018 Alcohol use disorder (AUD) is a devastating public health problem in which both genetic and environmental factors play a role. Growing evidence supports that epigenetic regulation is one major mechanism in neuroadaptation that contributes to development ...
Jiayu Chen +14 more
doaj +1 more source
microRNA‐7‐5p and α‐Synuclein SAA Predict Parkinson's Disease Phenoconversion
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Corroborate blood neuron‐derived extracellular vesicle (NDEV) alpha‐synuclein (αSyn), the CSF αSyn seed amplification assay (αSyn‐SAA), and blood microRNA‐7‐5p (miR‐7‐5p) as markers for Parkinson's disease (PD) phenoconversion and determine if combining these markers would help select subjects who would be more likely to phenoconvert.
Shayan Zadegan +4 more
wiley +1 more source