Results 101 to 110 of about 59,820 (274)
, 2007 International audienceThis paper describes the algorithms applied to a Radial Basis Function (RBF) neural network. This neural network is used as a classifier to design a human face authentication system.
Jay, Jacques, Pierrefeu, Lionel
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Molecular Functions and Drug Prediction of MMP1 and TGFBR2 in Nasopharyngeal Carcinoma
Journal of Clinical Laboratory Analysis, EarlyView.MMP1 and TGFBR2 were validated by machine learning and external datasets as the candidate genes. Dexamethasone showed strong binding affinity to MMP1 (−7.72 kcal/mol) and TGFBR2 (−7.27 kcal/mol) in docking studies. Knockdown of MMP1 repressed the malignant phenotypes of NPC cells.
Feng Wang +5 more
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Optical implementations of radial basis classifiers [PDF]
, 1993 We describe two optical systems based on the radial basis function approach to pattern classification. An optical-disk-based system for handwritten character recognition is demonstrated.
Neifeld, Mark A., Psaltis, Demetri
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Learning Bag-of-Features Pooling for Deep Convolutional Neural Networks
, 2017 Convolutional Neural Networks (CNNs) are well established models capable of achieving state-of-the-art classification accuracy for various computer vision tasks. However, they are becoming increasingly larger, using millions of parameters, while they are
Passalis, Nikolaos, Tefas, Anastasios
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Journal of Intelligent Medicine, EarlyView.A mutual information–guided sequential forward selection framework applied to multimodal baseline data identified key EEG and MRI features, which showed robust predictive performance across multiple machine learning models. Abstract Postural instability and gait disorder (PIGD) subtype of Parkinson's disease (PD) is marked by heterogeneous motor and ...
Yu Shi +6 more
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A Multiple Cascade-Classifier System for a Robust and Partially Unsupervised Updating of Land-Cover Maps [PDF]
, 2002 A system for a regular updating of land-cover maps is proposed that is based on the use of multitemporal remote-sensing images. Such a system is able to face the updating problem under the realistic but critical constraint that, for the image to be ...
Bruzzone, Lorenzo, Cossu, Roberto
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Journal of the Science of Food and Agriculture, EarlyView.Abstract BACKGROUND The present study aimed to develop and validate quantitative structure–property relationship (QSPR) models for predicting permeability related bioavailability indicators including apparent permeability (Papp), trans‐epithelial electrical resistance (TEER) and efflux ratio (ER) based on molecular descriptors (n = 5003) of 83 ...
Jin‐Woo Kim +5 more
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Research on price forecasting method of China's carbon trading market based on PSO-RBF algorithm
Systems Science & Control Engineering, 2019 The forecasting of carbon emissions trading market price is the basis for improving risk management in the carbon trading market and strengthening the enthusiasm of market participants. This paper will apply machine learning methods to forecast the price
Yuansheng Huang +3 more
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Faster Training in Nonlinear ICA using MISEP [PDF]
, 2002 MISEP has been proposed as a generalization of the INFOMAX method in two directions: (1) handling of nonlinear mixtures, and (2) learning the nonlinearities to be used at the outputs, making the method suitable to the separation of components with a wide
Almeida, Luis B.
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Laser &Photonics Reviews, EarlyView.Bayesian optimization combined with in situ quantitative phase imaging enables autonomous correction of layer‐height deviations in projection multi‐photon lithography. By jointly tuning model parameters and grayscale exposure settings, the method achieves more uniform and accurate layers within 300 prints, offering a fast, data‐efficient route to ...
Jason E. Johnson, Xianfan Xu
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