Real-Time Process Optimization via Adaptive Bayesian Reinforcement Learning and Multi-Objective Genetic Algorithms
dev.toΒ·1hΒ·
Discuss: DEV
πŸŽͺConvex Optimization
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Identifying the Periodicity of Information in Natural Language
arxiv.orgΒ·20h
πŸ”’Embeddings
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Flexible modulation of hybrid feedback loops in competitive biological oscillators
nature.comΒ·1d
πŸ“ŠDifferential Expression
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Handbook of Satisfiability (2021)
iospress.comΒ·1dΒ·
Discuss: Hacker News
πŸ“Computational Geometry
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Thought Branches: Interpreting LLM Reasoning Requires Resampling
arxiv.orgΒ·20h
πŸ“ŠEmpirical Bayes
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Reinforcement learning driven adaptive graph construction for fault diagnosis of chemical processes
sciencedirect.comΒ·2d
πŸ“Computational Geometry
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The Cantor Experiment: Forcing a GPT-5-Class AI to Forget a Century of Math
romainpeter.substack.comΒ·5hΒ·
Discuss: Substack
πŸ”²Zarr
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NaΓ―ve Shuffle Algorithm (2007)
blog.codinghorror.comΒ·5hΒ·
Discuss: Hacker News
πŸ“Computational Geometry
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xb.sql and xbi.sql - Explain Oracle Execution Plans Better! (Part 3 - Cardinality Misestimates)
tanelpoder.comΒ·19h
πŸ¦†DuckDB
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Kalman Filter Algorithm: Core Principles, Advantages, Applications, and C Code Implementation
devresourcehub.comΒ·2dΒ·
Discuss: DEV
⛰️Gradient Descent
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Introduction to Python Module Three Part Three: Conditionals
dev.toΒ·8hΒ·
Discuss: DEV
πŸ—‚οΈAnnData
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Contrastive Knowledge Transfer and Robust Optimization for Secure Alignment of Large Language Models
arxiv.orgΒ·20h
⛰️Gradient Descent
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Stochastic computing
scottlocklin.wordpress.comΒ·3dΒ·
Discuss: Hacker News
πŸ—ΊοΈManifold Learning
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Podcast: Lenore Blum: AI Consciousness Is Inevitable
prism-global.comΒ·8hΒ·
Discuss: Hacker News
πŸ—ΊοΈUMAP
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[R] TempoPFN: Synthetic Pretraining of Linear RNNs for Zero-Shot Timeseries Forecasting
reddit.comΒ·1dΒ·
⛰️Gradient Descent
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FOCUS: Efficient Keyframe Selection for Long Video Understanding
arxiv.orgΒ·20h
πŸ—ΊοΈUMAP
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Spiking Neural Networks: The Future of Brain-Inspired Computing
arxiv.orgΒ·20h
⛰️Gradient Descent
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Understanding Support Vector Machines SVM: Origins, Working, and Real-World Applications
dev.toΒ·16hΒ·
Discuss: DEV
πŸ—ΊοΈUMAP
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7 Prompt Engineering Tricks to Mitigate Hallucinations in LLMs
machinelearningmastery.comΒ·14h
πŸ“ŠEmpirical Bayes
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Predicting the FIDE Chess World Cup 2025 β€” Monte Carlo Analysis
dev.toΒ·7hΒ·
Discuss: DEV
⛰️Gradient Descent
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