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Natural language processing for word sense disambiguation and information extraction
arxiv.org·16h·
Discuss: r/compsci
📥Feed Aggregation
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If you can't explain AI with Physics, you're just guessing (The Durante Protocol v4.1.0)
dev.to·3h·
Discuss: DEV
🔐Quantum Security
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Gaussian concentration bounds for probabilistic cellular automata | Journal of Statistical Physics
link.springer.com·1d
🔲Cellular Automata
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Information, Physics, and Computation (Oxford Graduate Texts): Mézard, Marc, Montanari, Andrea: 8601410201722: Amazon.com: Books
amazon.com·1d
📐Compression Mathematics
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Information-theoretic signatures of causality in Bayesian networks and hypergraphs
arxiv.org·3d
📡Information theory
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Machine perception liquid biopsy identifies brain tumours via systemic immune and tumour microenvironment signature
nature.com·3d·
Discuss: Hacker News
🌈Spectroscopy
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Anticipating Risk Before It Hits: Surbhi Gupta on the Future of Predictive Analytics
hackernoon.com·2d
🔍BitFunnel
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Keeping Probabilities Honest: The Jacobian Adjustment
towardsdatascience.com·2d
🎯Arithmetic Coding Theory
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Volatile Organic Compounds for Stress Detection: A Scoping Review and Exploratory Feasibility Study with Low-Cost Sensors
arxiv.org·2d
🌈Spectroscopy
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The Concept of Bias: A Baseline Mechanism for Efficient Intelligence
theminddeveloper.github.io·3d·
Discuss: Hacker News
🧠Intelligence Compression
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Signal, Noise, and Burnout: A Human-Information Interaction Analysis of Voter Verification in a High-Volatility Environment
arxiv.org·2d
🧭Content Discovery
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Deep Kronecker Network
arxiv.org·2d
🧠Machine Learning
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Subgroup Discovery with the Cox Model
arxiv.org·2d
🧠Machine Learning
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Autonomous Uncertainty Quantification for Computational Point-of-care Sensors
arxiv.org·2d
🧲Magnetic Resonance
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Cross-Modal Knowledge Distillation for deep-sea exploration habitat design with embodied agent feedback loops
dev.to·1d·
Discuss: DEV
🔲Cellular Automata
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3 Smart Ways to Encode Categorical Features for Machine Learning - MachineLearningMastery.com
machinelearningmastery.com·5d
🧠Machine Learning
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Shared Representation Learning for High-Dimensional Multi-Task Forecasting under Resource Contention in Cloud-Native Backends
arxiv.org·2d
📈Time Series
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GateBreaker: Gate-Guided Attacks on Mixture-of-Expert LLMs
arxiv.org·2d
💻Local LLMs
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Knowledge-Driven 3D Semantic Spectrum Map: KE-VQ-Transformer Based UAV Semantic Communication and Map Completion
arxiv.org·2d
🧮Kolmogorov Complexity
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Attention from First Principles
metaworld.me·3d·
Discuss: Lobsters, Hacker News
🧠Machine Learning
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