Cs-Lg
Sublinear Optimization for Machine Learning
Clustering and Latent Semantic Indexing Aspects of the Singular Value Decomposition
Learning in A Changing World: Restless Multi-Armed Bandit with Unknown Dynamics
Supervised Classification Performance of Multispectral Images
A New Understanding of Prediction Markets Via No-Regret Learning
A Minimum Relative Entropy Controller for Undiscounted Markov Decision Processes
Statistical Learning in Automated Troubleshooting: Application to LTE Interference Mitigation
A Contextual-Bandit Approach to Personalized News Article Recommendation
Distributed Deep Convolutional Neural Networks for the Internet-of-Things
Temporal Fusion Transformer for Multi-Horizon Probabilistic Forecasting of Weekly Retail Sales
A new approach to content-based file type detection
Prediction with Expert Advice under Discounted Loss
Prequential Plug-In Codes that Achieve Optimal Redundancy Rates even if the Model is Wrong
Application of k Means Clustering algorithm for prediction of Students Academic Performance
Extended Active Learning Method
Drug Release Modeling using Physics-Informed Neural Networks
A Generalization of the Chow-Liu Algorithm and its Application to Statistical Learning
CHR(PRISM)-based Probabilistic Logic Learning
Evolution with Drifting Targets
Optimizing Classification of Infrequent Labels by Reducing Variability in Label Distribution
Gaussian Process Structural Equation Models with Latent Variables
Convergence of Bayesian Control Rule
