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πŸ“Š Count-Min Sketch

Frequency Estimation, Stream Analytics, Space Efficiency, Approximate Counting

Out-of-Band, Part 1: The new generation of IP KVMs and how to find them
runzero.comΒ·2h
πŸ•ΈοΈWASM Archives
Cursor Pro plan being severely limited
reddit.comΒ·6hΒ·
Discuss: r/cursor
πŸ”BitFunnel
AI Agent Paid Ads
writeconv.comΒ·2hΒ·
Discuss: Hacker News
πŸ“ŠFeed Optimization
Programming on Apple Watch (2017)
willem.comΒ·4hΒ·
Discuss: Hacker News
πŸ–₯️Vintage Macintosh
Kernel spectral joint embeddings for high-dimensional noisy datasets using duo-landmark integral operators
arxiv.orgΒ·2d
πŸŒ€Riemannian Computing
Machine Learning Fundamentals: active learning tutorial
dev.toΒ·23hΒ·
Discuss: DEV
πŸŽ›οΈFeed Filtering
DigitalOcean Fundamentals: API
dev.toΒ·1dΒ·
Discuss: DEV
πŸ”ŒInterface Evolution
Predictive Analytics for Collaborators Answers, Code Quality, and Dropout on Stack Overflow
arxiv.orgΒ·2d
πŸ“ŠFeed Optimization
Elucidated Rolling Diffusion Models for Probabilistic Weather Forecasting
arxiv.orgΒ·11h
⚑Incremental Computation
FREQuency ATTribution: Benchmarking Frequency-based Occlusion for Time Series Data
arxiv.orgΒ·2d
πŸ“ŠQuantization
FundaQ-8: A Clinically-Inspired Scoring Framework for Automated Fundus Image Quality Assessment
arxiv.orgΒ·11h
πŸ“ŠRate-Distortion Theory
Machine Learning Fundamentals: active learning project
dev.toΒ·1dΒ·
Discuss: DEV
🧠Machine Learning
Choice of Scoring Rules for Indirect Elicitation of Properties with Parametric Assumptions
arxiv.orgΒ·2d
πŸ‘‘Coq Tactics
Imputation of Longitudinal Data Using GANs: Challenges and Implications for Classification
arxiv.orgΒ·2d
πŸ“ŠLearned Metrics
Emotion Detection on User Front-Facing App Interfaces for Enhanced Schedule Optimization: A Machine Learning Approach
arxiv.orgΒ·1d
πŸŽ›οΈFeed Filtering
Angio-Diff: Learning a Self-Supervised Adversarial Diffusion Model for Angiographic Geometry Generation
arxiv.orgΒ·1d
πŸŒ€Riemannian Computing
15 Go Packages Worth Your Time
dev.toΒ·3hΒ·
Discuss: DEV
πŸ’§Liquid Types
Opportunistic Osteoporosis Diagnosis via Texture-Preserving Self-Supervision, Mixture of Experts and Multi-Task Integration
arxiv.orgΒ·11h
πŸ‘οΈOCR Enhancement
When Data Becomes a Bottleneck: Why Smart People Still Struggle to Get Answers
dev.toΒ·1dΒ·
Discuss: DEV
🌊Stream Processing
Causal discovery in deterministic discrete LTI-DAE systems
arxiv.orgΒ·11h
🧠Machine Learning
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