Ensemblelearning相关论文
A clustering-based flexible weighting method in AdaBoost and its application to transaction fraud de
AdaBoost is a famous ensemble learning method and has achieved successful applications in many fields.The existing studi......
The ensemble is a technique that strategically combines basic models to achieve better accuracy rates.Diversity,combinat......
The performance of traditional imbalanced classification algorithms is degraded when deal-ing with highly imbalanced dat......
A problem of interest to aircraft maintainers is automatic detection, classification, and prognosis of potential critica......
Structural damage detection and monitoring are vital in product lifecycle management of aeronautic system in space utili......
Analysis of ground surface settlement in anisotropic clays using extreme gradient boosting and rando
Excessive ground surface settlement induced by pit excavation (i.e. braced excavation) can potentially result in damage ......
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As we know,the target classification of synthetic aperture radar image is often affected by its azimuths.On the other ha......
In recent years,many works on automatic sleep stage classification try to take advantage of temporal information to get ......
Environmental audio classification has been the focus in the field of speech recognition.Random forest is a powerful mac......
The degree of malignancy in brain glioma dominates the way of treatment and is critical before brain surgery.Many learni......
Systematic Evaluation of logD7.4 based on Ensemble Machine Learning,Group Contribution and Matched M
Lipophilicity,as evaluated by the n-octanol/buffer solution distribution coefficient at pH = 7.4(logD7.4),is a major det......
针对传统机器学习中人工提取特征复杂度高,以及单卷积网络提取特征不充分导致识别率不高的问题,提出了一种基于集成卷积神经网络的......
由于高光谱图像的光谱分辨率已经达到了10 nm甚至更高，使其具有了辨识很多原本在其他遥感图像中无法识别出现的地物。但较高的光谱......
Acoustic Scene Classification (ASC) is the recognition and categorization of audio data that identifies the environment ......
本研究回顾性分析了198例女性患者的乳腺动态增强磁共振成像（DCE-MRI）图像序列，年龄21~79（45.5±13.7）岁。以病理检查为金标准，采用深度......
DrugE-Rank Improving Drug-Target Interaction Prediction of New Candidate Drugs or Targets by Ensembl
Motivation: Identifying drug-target interaction is an important task in drug discovery.To reduce heavy time and fina......
在机器学习中,随机性是集成学习成功的一个关键因素,可通过旋转特征空间将随机性注入到基于树的集成学习模型中。随机地旋转特征空......
