ETRI-Knowledge Sharing Plaform

Self-Improving Deep Learning(DL) Multi-Agent Reinforcement Learning Artificial Intelligence System Dialog System Confidence Measure Model-Based Compensation Method State-Of-The-Art Artificial Sample Word Embedding Models Data-Driven Approach Within-Class Covariance Normalization Shared Task Estimation Technique Sample Generation Training Based Universal Background Model Encoding Technique Efficient Exploration Feature Dictionaries Feature Extractor Image Recognition Multi-Agent System(MAS) Predator-Prey Conditional Mutual Information Different Levels Word-Level Vector Based Skip-Gram Isolated Word Recognition Imbalance Problem Natural Gradient Training Data Complex Dynamics Channel Effect Clustering Based Computing Technology Embedding Method Fine-Tuning Generative Adversarial Network High Dimension Higher Performance Local Patches Minority Class Prediction Performance Speech Recognition System Based Prioritization Cosine Distance Channel Compensation Data Imbalance Spontaneous Speech Speech Assessment Relative Position Explore Action Feature Normalization I-Vector Linear Discriminant Analysis(LDA) Latent Semantic Analysis(LSI) Learning Algorithms Large-Scale Performance Analysis Starcraft Ii Total Variability Support Vectormachine(SVM) Real-World Thought Model Best Performance Automatic Speech Recognition(ASR) Dictionary-Based Decision Making Value Function Sentence Model Sentence Similarity Execution Framework Experience Replay Image Classification Latent Semantics Oversampling Method Proposed Model Analytical Approach Computer Vision(CV) Class Imbalance Context Model Data Augmentation Joint Action Kullback-Leibler (Kl) Divergence Generative Models Imbalanced Classification Learning Curve Classification Research Cognitive Computing Embedding Technique Action Selection Second-Order