Maths behind ML Algorithms (Bayesian Decision Theory)
pub.towardsai.net·4d
🤖Scikit-learn
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Variance-reduced estimation of Third-order statistics using control variates with splitting
sciencedirect.com·16h
🎛statistical process control
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Wasserstein Regression as a Variational Approximation of Probabilistic Trajectories through the Bernstein Basis
arxiv.org·2d
🤖Scikit-learn
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Weak-To-Strong Generalization
lesswrong.com·10h
📐Gini Coefficient
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This is a description of a test for markov chain program in a book I'm reading...
🎰Monte Carlo Simulation
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Empirical Bayesian Multi-Bandit Learning
arxiv.org·2d
📈ROC Curves
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Automated Anomaly Detection & Root Cause Analysis in Complex System Simulations via Adaptive Bayesian Networks
🗺️Flight Management Systems
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Entropy in algorithm analysis
11011110.github.io·14h
🔗Parser Combinators
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A Three-Stage Bayesian Transfer Learning Framework to Improve Predictions in Data-Scarce Domains
arxiv.org·2d
🤖Scikit-learn
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Attention Illuminates LLM Reasoning: The Preplan-and-Anchor Rhythm EnablesFine-Grained Policy Optimization
🔗Parser Combinators
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Reinforcement learning driven adaptive graph construction for fault diagnosis of chemical processes
sciencedirect.com·16h
🌪️Chaos Engineering
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Kalman Filter Algorithm: Core Principles, Advantages, Applications, and C Code Implementation
🧭Inertial Navigation
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Bayesian continual learning and forgetting in neural networks
nature.com·3d
🤖Scikit-learn
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Handbook of Satisfiability (2021)
🔗Parser Combinators
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