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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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Self-Supervised Temporal Pattern Mining for circular manufacturing supply chains with embodied agent feedback loops
dev.to·3h·
Discuss: DEV
🌊Stream Processing
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Information-theoretic signatures of causality in Bayesian networks and hypergraphs
arxiv.org·3d
📡Information theory
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Opening the Black Box of Deep Neural Networks via Information
paperium.net·1d·
Discuss: DEV
🧠Machine Learning
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The 2025 Guide to Machine Learning
ibm.com·1d·
Discuss: Hacker News
🧠Machine Learning
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Stanford CS 224N | Natural Language Processing with Deep Learning
web.stanford.edu·1d
🧠Machine Learning
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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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Deep Kronecker Network
arxiv.org·2d
🧠Machine Learning
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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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Subgroup Discovery with the Cox Model
arxiv.org·2d
🧠Machine Learning
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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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CoSeNet: A Novel Approach for Optimal Segmentation of Correlation Matrices
arxiv.org·2d
🧠Machine Learning
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What Deep Learning Theory Teaches Us About AI Memory
dev.to·1d·
Discuss: DEV
🧠Learned Compression
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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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Attention from First Principles
metaworld.me·3d·
Discuss: Lobsters, Hacker News
🧠Machine Learning
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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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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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CHAMMI-75: pre-training multi-channel models with heterogeneous microscopy images
arxiv.org·2d
🧠Machine Learning
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Deep Convolutional Networks on Graph-Structured Data
paperium.net·2d·
Discuss: DEV
📊Spectral Graphs
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When Experts Speak:Sequential LLM-Bayesian Learning for Startup Success Prediction
arxiv.org·2d
🧠Intelligence Compression
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