Candidates vs. noises estimation for large multi-class classification problem

Keyphrases

• Multi-class Classification 100%
• Noise Estimation 100%
• Tree Structure 50%
• Maximum Likelihood Estimator 50%
• Computationally Efficient 50%
• High Probability 50%
• Prediction Accuracy 50%
• K-method 50%
• Decision Tree Classifier 50%
• Class number 50%
• Neural Language Models 50%
• Statistical Variance 50%
• Word Probabilities 50%
• Beam Search 50%
• Noise Contrastive Estimation 50%

Computer Science

• Classification Problem 100%
• Multiclass Classification 100%
• Multi Class Classification 100%
• Experimental Result 50%
• maximum-likelihood 50%
• Prediction Accuracy 50%
• Language Modeling 50%
• Candidate Class 50%