Network theory provides an intuitively appealing framework for studying relationships among interconnected brain mechanisms and their relevance to behaviour. As the space of its applications grows, so does the diversity of meanings of the term network mo
A Gavrilov,YK Lee,S Lee - International Symposium on Neural Networks 被引量: 0发表: 2006年 kor us2005 hybrid neural network based on models of multi-layer perceptron and adaptive resonance . theory The model of the hybrid neural network is considered. This model consists of model ART-2 for...
Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end. python clustering gaussian-mixture-models clustering-...
has its own unique physicochemical properties, it is unlikely that any one polymer material is ideally suited for the formulation of all drugs. Thus, reliance on the relatively small subset of polymeric materials that have GRAS status likely restricts our ability to develop polymer-based LAIs for ...
The Rise and Potential of Large Language Model Based Agents: A Survey - [arXiv] [Link] Multimodal Foundation Models: From Specialists to General-Purpose Assistants - [arXiv] [Tutorial] A Survey on Multimodal Large Language Models - [arXiv] [Link] Interactive Natural Language Processing -...
A previously proposed theory of visual processing, based on redundancy reduction, is used to derive the retinal transfer function including color. The pred... JJ Atick,Z Li,AN Redlich - 《Neural Computation》 被引量: 68发表: 2014年 A Survey of Architecture and Function of the Primary Visual...
Towards model-based control of Parkinson's disease: A perspective Since the 1950s, we have developed mature theories of modern control theory and computational neuroscience with almost no interaction between these discipl... SJ Schiff,SJ Schiff - IEEE Conference on Decision & Control & European Co...
In this study, the performances of artificial neural network (ANN) analysis and multilinear regression (MLR) model-based estimation of heart rate were compared in an evaluation of individual cognitive workload. The data comprised electrocardiography (ECG) measurements and an evaluation of cognitive load...
Investigating Trust in Human-Machine Learning Collaboration: A Pilot Study on Estimating Public Anxiety from Speech pureGAM: Learning an Inherently Pure Additive Model GAMI-Net: An Explainable Neural Network based on Generalized Additive Models with Structured Interactions ...
Swin Transformer28 has been proposed by Microsoft Research in 2021 as a deep neural network model based on the Transformer architecture. Its primary objective is to extend the application of the Transformer model into the realm of image processing by incorporating a layered window attention mechanism...