Suchergebnisse - embedded hybrid features sparse stacked autoencoder

Hybrid Feature Embedded Sparse Stacked Autoencoder and Manifold Dimensionality Reduction Ensemble for Mental Health Speech Recognition von Chen, Hong, Lin, Yuan, Li, Yongming, Wang, Wei, Wang, Pin, Lei, Yan

“… This paper proposes an embedded hybrid feature deep sparse stacked autoencoder ensemble method to solve this problem …”
Volltext

Psychosis speech recognition algorithm based on deep embedded sparse stacked autoencoder and manifold ensemble von Zhang, Yi, Qin, Xiaolin, Lin, Yuan, Li, Yongming, Wang, Pin, Zhang, Zuwei, Li, Xiaofei

“… To solve this problem, this paper proposes a deep embedded hybrid feature sparse stack autoencoder manifold ensemble algorithm …”
Weitere Angaben

Hybrid Embedded Deep Stacked Sparse Autoencoder with w_LPPD SVM Ensemble von Li, Yongming, Yan, Lei, Wang, Pin, Liu, Yuchuan

“… Besides, it suffers from small sample problem. In order to solve these problems, a novel deep autoencoder - hybrid feature embedded stacked sparse autoencoder(HESSAE …”
Volltext

Embedded stacked group sparse autoencoder ensemble with L1 regularization and manifold reduction von Li, Yongming, Lei, Yan, Wang, Pin, Jiang, Mingfeng, Liu, Yuchuan

“… To solve the problem, this paper proposes an embedded stacked group sparse autoencoder (ESGSAE) for more effective feature learning …”
Volltext