Showing 1–20 of 70 results
/ Date/ Name
Apr 15, 2020Reinforcement Learning in a Physics-Inspired Semi-Markov EnvironmentNov 1, 2021Investigation of Independent Reinforcement Learning Algorithms in Multi-Agent EnvironmentsMar 8, 2020Isolation Mondrian Forest for Batch and Online Anomaly DetectionJun 22, 2019Fisher and Kernel Fisher Discriminant Analysis: TutorialMay 23, 2023ChemGymRL: An Interactive Framework for Reinforcement Learning for Digital ChemistryFeb 17, 2023Generative Causal Representation Learning for Out-of-Distribution Motion ForecastingDec 16, 2021Decentralized Mean Field GamesMar 3, 2019Artificial Counselor System for Stock InvestmentJul 4, 2020Offline versus Online Triplet Mining based on Extreme Distances of Histopathology PatchesMay 28, 2019The Theory Behind Overfitting, Cross Validation, Regularization, Bagging, and Boosting: TutorialMay 10, 2020Supervision and Source Domain Impact on Representation Learning: A Histopathology Case StudyMay 26, 2020Active Measure Reinforcement Learning for Observation Cost MinimizationApr 5, 2020Backprojection for Training Feedforward Neural Networks in the Input and Feature SpacesJul 10, 2020Batch-Incremental Triplet Sampling for Training Triplet Networks Using Bayesian Updating TheoremApr 1, 2020Distributed Nonlinear Model Predictive Control and Metric Learning for Heterogeneous Vehicle Platooning with Cut-in/Cut-out ManeuversFeb 1, 2017Blue Sky Ideas in Artificial Intelligence Education from the EAAI 2017 New and Future AI Educator ProgramMay 7, 2019Feature Selection and Feature Extraction in Pattern Analysis: A Literature ReviewJan 20, 2019Fitting A Mixture Distribution to Data: TutorialOct 11, 2019Roweis Discriminant Analysis: A Generalized Subspace Learning MethodJun 1, 2019Unsupervised and Supervised Principal Component Analysis: Tutorial