Maths behind ML Algorithms (Bayesian Decision Theory)
pub.towardsai.net·2d
🤖Scikit-learn
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Wasserstein Regression as a Variational Approximation of Probabilistic Trajectories through the Bernstein Basis
arxiv.org·23h
🤖Scikit-learn
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Empirical Bayesian Multi-Bandit Learning
arxiv.org·23h
📈ROC Curves
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A Three-Stage Bayesian Transfer Learning Framework to Improve Predictions in Data-Scarce Domains
arxiv.org·23h
🤖Scikit-learn
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Condensin Complex Dynamics: A Bayesian Network Approach to Chromosome Condensation Prediction
🤖Scikit-learn
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How to Build Your First MCP Server using FastMCP
hackernoon.com·20h
🔬BPF
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Bayesian continual learning and forgetting in neural networks
nature.com·2d
🤖Scikit-learn
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Approximating Heavy-Tailed Distributions with a Mixture of Bernstein Phase-Type and Hyperexponential Models
arxiv.org·23h
📉Loss Distributions
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Bayesian Neural Networks vs. Mixture Density Networks: Theoretical and Empirical Insights for Uncertainty-Aware Nonlinear Modeling
arxiv.org·1d
📈ROC Curves
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Stochastic computing
scottlocklin.wordpress.com·10h
🌪️Chaos Engineering
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Predictive Maintenance Optimization via Bayesian Federated Learning of Degradation Trajectories
🤖Scikit-learn
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Optimal Information Combining for Multi-Agent Systems Using Adaptive Bias Learning
arxiv.org·23h
💾information theory
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Sequential surrogate modeling for inverse design with conformal inference-based uncertainty quantification
sciencedirect.com·2d
🌪️Chaos Engineering
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Transition to Collective Motion in Nonreciprocal Active Matter: Coarse Graining Agent-Based Models into Fluctuating Hydrodynamics
journals.aps.org·1d
📐Stochastic Calculus
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A Bayesian Explanation of Causal Models
lesswrong.com·4d
🌪extreme value theory
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TinyML is the most impressive piece of software you can run on any ESP32
xda-developers.com·17h
🤖Scikit-learn
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