Densely connected deep random forest for hyperspectral imagery classification
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Remote Sensing"
DOI: 10.1080/01431161.2018.1547932
Abstract: ABSTRACT In very recent years, deep learning based methods have been widely introduced for the classification of hyperspectral images (HSI). However, these deep models need lots of training samples to tune abundant parameters which induce… read more here.
Keywords: classification; connected deep; random forest; deep random ... See more keywords
Optimally Connected Deep Belief Net for Click Through Rate Prediction in Online Advertising
Sign Up to like & getrecommendations! Published in 2018 at "IEEE Access"
DOI: 10.1109/access.2018.2861429
Abstract: Many researches of machine learning aim to improve the click prediction of online advertisement (ads). One important method is to investigate the pairwise relevance among instances on impression data and the global interaction among the… read more here.
Keywords: deep belief; prediction online; optimally connected; connected deep ... See more keywords