Probabilistic Regressor Chains with Monte Carlo Methods
Sign Up to like & getrecommendations! Published in 2020 at "Neurocomputing"
DOI: 10.1016/j.neucom.2020.05.024
Abstract: A large number and diversity of techniques have been offered in the literature in recent years for solving multi-label classification tasks, including classifier chains where predictions are cascaded to other models as additional features. The… read more here.
Keywords: probabilistic regressor; carlo methods; regressor; monte carlo ... See more keywords
Signed Orthogonal Regressor Algorithm for Digital Predistortion of Power Amplifiers
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Microwave and Wireless Components Letters"
DOI: 10.1109/lmwc.2021.3076392
Abstract: Digital predistortion (DPD) of broadband power amplifiers (PAs) requires a large number of parameters to compensate for the severe nonlinear distortion, which may cause considerable computational complexity in the DPD parameter identification process. To solve… read more here.
Keywords: orthogonal regressor; signed orthogonal; regressor algorithm; power amplifiers ... See more keywords
Composite Adaptive Attitude Control of Asteroid-Orbiting Spacecraft With Regressor Integral Excitation
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Transactions on Aerospace and Electronic Systems"
DOI: 10.1109/taes.2022.3164011
Abstract: This article (correspondence) develops a composite adaptive control system for the attitude trajectory tracking of a spacecraft in elliptic orbit around a uniformly rotating asteroid. It is assumed that the spacecraft’s moment of inertia and… read more here.
Keywords: spacecraft; excitation; regressor; control ... See more keywords
Enhanced antitumor immunity through sequential targeting of PI3Kδ and LAG3
Sign Up to like & getrecommendations! Published in 2020 at "Journal for Immunotherapy of Cancer"
DOI: 10.1136/jitc-2020-000693
Abstract: Background Despite striking successes, immunotherapies aimed at increasing cancer-specific T cell responses are unsuccessful in most patients with cancer. Inactivating regulatory T cells (Treg) by inhibiting the PI3Kδ signaling enzyme has shown promise in preclinical… read more here.
Keywords: pi3k; pi3k lag3; lag3; regressor ... See more keywords
Application of Ensemble Machine Learning Methods to Estimate the Compressive Strength of Fiber-Reinforced Nano-Silica Modified Concrete
Sign Up to like & getrecommendations! Published in 2022 at "Polymers"
DOI: 10.3390/polym14183906
Abstract: In this study, compressive strength (CS) of fiber-reinforced nano-silica concrete (FRNSC) was anticipated using ensemble machine learning (ML) approaches. Four types of ensemble ML methods were employed, including gradient boosting, random forest, bagging regressor, and… read more here.
Keywords: regressor; fiber; nano silica; adaboost regressor ... See more keywords