Policy Learning Using SPSA
Simple Recurrent Neural Networks for Support Vector Machine Training
RNN-SURV: A Deep Recurrent Model for Survival Analysis
Do Capsule Networks Solve the Problem of Rotation Invariance for Traffic Sign Classification?
Balanced and Deterministic Weight-Sharing Helps Network Performance
Neural Networks with Block Diagonal Inner Product Layers
Training Neural Networks Using Predictor-Corrector Gradient Descent
Investigating the Role of Astrocyte Units in a Feedforward Neural Network
An Exploration of Dropout with RNNs for Natural Language Inference
Neural Model for the Visual Recognition of Animacy and Social Interaction
Deep CNN-ELM Hybrid Models for Fire Detection in Images
Siamese Survival Analysis with Competing Risks
A Survey on Deep Transfer Learning
Cloud Detection in High-Resolution Multispectral Satellite Imagery Using Deep Learning
Metric Embedding Autoencoders for Unsupervised Cross-Dataset Transfer Learning
Research on Fight the Landlords’ Single Card Guessing Based on Deep Learning
PMGAN: Paralleled Mix-Generator Generative Adversarial Networks with Balance Control
A Deep Learning Approach for Sentence Classification of Scientific Abstracts
Weighted Multi-view Deep Neural Networks for Weather Forecasting
Detection and Recognition of Badgers Using Deep Learning
Video Surveillance of Highway Traffic Events by Deep Learning Architectures
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Brain-Machine Interface for Mechanical Ventilation Using Respiratory-Related Evoked Potential
EEG-Based Person Identification Using Rhythmic Brain Activity During Sleep
Learning-While Controlling RBF-NN for Robot Dynamics Approximation in Neuro-Inspired Control of Switched Nonlinear Systems
Integrative Collision Avoidance Within RNN-Driven Many-Joint Robot Arms
Kinematic Estimation with Neural Networks for Robotic Manipulators
Hierarchical Attention Networks for User Profile Inference in Social Media Systems