Generative and discriminative infinite restricted Boltzmann machine training
Sign Up to like & getrecommendations! Published in 2022 at "International Journal of Intelligent Systems"
DOI: 10.1002/int.22908
Abstract: As one of the essential deep learning models, a restricted Boltzmann machine (RBM) is a commonly used generative training model. By adaptively growing the size of the hidden units, infinite RBM (IRBM) is obtained, which… read more here.
Keywords: generative discriminative; training; boltzmann machine; restricted boltzmann ... See more keywords
Generative-Discriminative Machine Learning Models for High-Frequency Financial Regime Classification
Sign Up to like & getrecommendations! Published in 2025 at "Methodology and Computing in Applied Probability"
DOI: 10.1007/s11009-025-10148-8
Abstract: We combine a hidden Markov model (HMM) and a kernel machine (SVM/MKL) into a hybrid HMM-SVM/MKL generative-discriminative learning approach to accurately classify high-frequency financial regimes and predict the direction of trades. We capture temporal dependencies… read more here.
Keywords: classification; methodology; frequency financial; generative discriminative ... See more keywords
Predicting Lung Cancers Using Epidemiological Data: A Generative-Discriminative Framework
Sign Up to like & getrecommendations! Published in 2021 at "IEEE/CAA Journal of Automatica Sinica"
DOI: 10.1109/jas.2021.1003910
Abstract: Predictive models for assessing the risk of developing lung cancers can help identify high-risk individuals with the aim of recommending further screening and early intervention. To facilitate pre-hospital self-assessments, some studies have exploited predictive models… read more here.
Keywords: generative discriminative; predicting lung; lung; discriminative framework ... See more keywords
A Trusted Generative-Discriminative Joint Feature Learning Framework for Remote Sensing Image Classification
Sign Up to like & getrecommendations! Published in 2024 at "IEEE Transactions on Geoscience and Remote Sensing"
DOI: 10.1109/tgrs.2023.3342740
Abstract: Remote sensing image (RSI) classification is a popular research topic that aims to assign semantic labels to images acquired from aerial or maritime platforms. Existing deep feature learning methods for this task can be divided… read more here.
Keywords: classification; feature learning; remote sensing; generative discriminative ... See more keywords