An introduction to program synthesis (Part II) - Automatically generating features for machine learning
🎭Program Synthesis
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Using Machine Learning in CAD to Detect Design Flaws Before They Become Costly
🧠Machine Learning
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Casing Collar Identification using AlexNet-based Neural Networks for Depth Measurement in Oil and Gas Wells
arxiv.org·2d
👁️Computer Vision
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The Curvature Rate {\lambda}: A Scalar Measure of Input-Space Sharpness in Neural Networks
arxiv.org·2d
📱Edge AI
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High-Throughput HPLC Method Optimization via Bayesian Neural Network & Predictive Maintenance
🧠Machine Learning
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🧠 Soft Architecture (Part B): Emotional Timers and the Code of Care (Part 5 of the SaijinOS series)
💬Prompt Engineering
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Discriminately Treating Motion Components Evolves Joint Depth and Ego-Motion Learning
arxiv.org·2d
🔲Cellular Automata
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Automated Anomaly Detection in Surgical Instrument Tracking Using Federated Learning
🧠Machine Learning
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Measuring the Intrinsic Dimension of Earth Representations
arxiv.org·1d
🧮Embeddings
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KAT-GNN: A Knowledge-Augmented Temporal Graph Neural Network for Risk Prediction in Electronic Health Records
arxiv.org·2d
🕸️Knowledge Graphs
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QuPCG: Quantum Convolutional Neural Network for Detecting Abnormal Patterns in PCG Signals
arxiv.org·1d
⚛️Quantum Computing
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InsurAgent: A Large Language Model-Empowered Agent for Simulating Individual Behavior in Purchasing Flood Insurance
arxiv.org·1d
💬Prompt Engineering
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Redundancy Maximization as a Principle of Associative Memory Learning
arxiv.org·1d
📊Dynamic Programming
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Jensen Huang Gets It Wrong
💬Prompt Engineering
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