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نمایش تعداد 1-10 از 44
An efficient model free estimation of multiclass conditional probability
ناشر: Elsevier Science
سال: 2013
Competitive Cross-Entropy Loss: A Study on Training Single-Layer Neural Networks for Solving Nonlinearly Separable Classification Problems
سال: 2018
خلاصه:
problem. In this paper, we use a soft competitive approach to generalize the CE (Cross-Entropy) loss, which is a widely accepted criterion for multiclass classification, to networks that have several output units for each class, calling the resulting...
A novel compression algorithm for IMFs of Hilbert-Huang transform
ناشر: IEEE
سال: 2014
A Scalable Stagewise Approach to Large-Margin Multiclass Loss-Based Boosting
ناشر: IEEE
سال: 2014
A quad-tree and statistics based fast CU depth decision algorithm for 3D-HEVC
ناشر: IEEE
سال: 2014
Comprehensive technology exploitation using system dynamics
ناشر: IEEE
سال: 2014
Secure traversal of information over wireless mesh networks
ناشر: IEEE
سال: 2014