Sep 23, 2026 Constructing a Linear Classifier from Known Decision-Boundary Points Sep 22, 2026 Derivation of a Weighted Recursive Linear Least Squares Estimator Sep 19, 2026 The Weighted Linear Least Squares Algorithm Aug 27, 2026 Near-Perfect Connect-4 after Five Minutes of Training: Reinforcement Learning from Scratch by Self-Play Aug 06, 2026 Counting the Realisable States of an N-Tuple Jun 04, 2026 Crossing the Frozen Lake: Monte Carlo, TD(0) and Q-Learning Apr 26, 2026 Online Estimation: Updating the Inverse Covariance Matrix Apr 12, 2026 Online Estimation: The Memory of an Exponentially Weighted Estimator Mar 29, 2026 Online Estimation: The Covariance of a Weighted Mean Mar 15, 2026 Online Estimation: Exponential Forgetting Mar 01, 2026 Online Estimation: Weighted Observations and Mini-Batches Feb 15, 2026 Online Estimation: The Mean and the Covariance Matrix Feb 01, 2026 Online Estimation: Learning from a Changing Data Stream May 03, 2024 Short Notes: Gradient of the Softmax Function for the Cross-Entropy Loss