This is a description of a test for markov chain program in a book I'm reading...
reddit.com·1d·
📄FASTQ
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pDANSE: Particle-based Data-driven Nonlinear State Estimation from Nonlinear Measurements
arxiv.org·20h
⛰️Gradient Descent
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News for October 2025
ptreview.sublinear.info·2h
🔲Zarr
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What Are Auto-regressive Models? A Deep Dive and Typical Use Cases
blog.pangeanic.com·12h
⛰️Gradient Descent
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How Transformer Models Detect Anomalies in System Logs
hackernoon.com·7h
📊Empirical Bayes
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Connectivity Structure and Dynamics of Nonlinear Recurrent Neural Networks
journals.aps.org·1h
⛰️Gradient Descent
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Enhanced Richardson Extrapolation via Adaptive Kernel Regression and Uncertainty Quantification
dev.to·11h·
Discuss: DEV
📊Empirical Bayes
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Variance-reduced estimation of Third-order statistics using control variates with splitting
sciencedirect.com·2d
📊Empirical Bayes
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Handling Events Coming in an Unknown Order
event-driven.io·9h·
Discuss: r/programming
🔲Zarr
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How much disorder is there in a descending run?
morwenn.github.io·12h·
Discuss: Hacker News
📐Computational Geometry
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Enhanced spatial clustering of single-molecule localizations with graph neural networks
nature.com·1d
🗺️UMAP
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Writing an LLM from scratch, part 27 – what's left, and what's next?
gilesthomas.com·39m·
Discuss: Hacker News
⛰️Gradient Descent
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Phased DMD: Few-step Distribution Matching Distillation via Score Matching within Subintervals
arxiv.org·20h
⛰️Gradient Descent
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Context-Aware Stochastic Modeling of Consumer Energy Resource Aggregators in Electricity Markets
arxiv.org·20h
📊Empirical Bayes
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A New Faster Algorithm for Gregorian Date Conversion
benjoffe.com·18h·
Discuss: Hacker News, r/cpp
🦆DuckDB
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2026 College basketball: Best futures bets, predictions for long shots
nytimes.com·7h
🗺️Network Visualization
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Adaptive Human-Computer Interaction Strategies Through Reinforcement Learning in Complex
arxiv.org·20h
🗺️Network Visualization
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Computational Complexity and Explanations in Physics
gilkalai.wordpress.com·1d
🗺️Manifold Learning
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**Adaptive Algorithmic Profiling & Resource Allocation via Dynamic Markov Chain Optimization**
dev.to·2d·
Discuss: DEV
⛰️Gradient Descent
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A Practitioner's Guide to Kolmogorov-Arnold Networks
arxiviq.substack.com·1d·
Discuss: Substack
⛰️Gradient Descent
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