文献阅读报告 - Pedestrian Trajectory Prediction With Learning-based Approaches A Comparative Study 概述 本文献是一篇文献综述,以自动驾驶载具对外围物体行动轨迹的预测为切入点,介绍了基于运动学(kinematics-based)和基于机器学习(learning-based)的两大类预测方法。 并选择了基于机器学习的六种具体方法(GP、LSTM、...
Traditionally, machine learning based approaches to information retrieval have taken the form of supervised learning-to-rank models. Recent advances in other machine learning approaches—such as adversarial learning and reinforcement learning—should find interesting new applications in future ...
Existing machine learning-based approaches (i.e., those that are not transfer learning-based) also use frameworks not developed for SDN, and hence they may not work well for flow-based data in SDN. In other words, the conversion/adaption of the data may introduce integrity and validation iss...
Various machine learning-based approaches have been applied to BNER tasks and showed good performance. In this paper, we systematically investigated three ... B Tang,H Cao,X Wang,... - 《Biomed Res Int》 被引量: 80发表: 2014年 Deep learning for sentiment analysis: successful approaches and...
Technology based learning approaches are becoming more popular. Learn 8 of the best ways to embrace the growing trend
This paper provides information obtained from Junior Secondary School teachers on their orientation towards the use of inquiry-based approach for teaching Basic Science in Ekiti State, Nigeria. The population of the study comprises all the Basic Science teachers in the State. A sample of one hundred...
(2) extracting the IRON score risk factors to train a machine learning-based model. Both approaches yielded very low performance results, when compared to the other risk stratification models tested in our pipeline. Previous results have shown that the IRON score obtained 0.72, and 0.685 AUCROC ...
Machine learning-based approaches have shown promise in detecting botnets by analyzing network traffic patterns8,9. However, a single machine-learning algorithm may not be sufficient to detect all types of botnets effectively10. The quality of a single model can also decrease over time due to the...
6and solved by the Organic Chemical Simulation of Synthesis (OCSS) program. Later, driven by sizeable experimental reaction data and significantly increased computational capabilities, various machine-learning-based approaches7, especially deep-learning (DL) models, have been proposed and achieved ...
In the current context, predictive maintenance (PdM) is becoming increasingly popular based on machine learning approaches, while its research on electrical equipment such as low-voltage contactors is in its infancy. The failure modes are mainly fusion welding and explosion, and a few are unable ...