The model underlying R-hat and a Bayesian estimator
statmodeling.stat.columbia.edu·12h
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<p>**Abstract:** This paper introduces a novel framework, Enhanced Semantic Graph Analysis (ESGA), for automated scientific literature review and hypothesis gen...
freederia.com·10h
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<p>**Abstract:** Existing Kubernetes cluster autoscaling solutions often exhibit reactive behavior, leading to resource inefficiencies and performance bottlenec...
freederia.com·4h
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My Hands-On Review of Kimi K2 Thinking: The Open-Source AI That's Changing the Game
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Perplexity shows how to run monster AI models more efficiently on aging GPUs, AWS networks
theregister.com·1d
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Designing Data-Intensive Applications [Book Review]-The Big Ideas Behind Reliable, Scalable and Maintainable Systems
🧹Data Cleaning
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One Size Does Not Fit All: Architecture-Aware Adaptive Batch Scheduling with DEBA
arxiv.org·3h
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How AI Gateway runs on Fluid compute
vercel.com·19h
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How Databricks Implemented Intelligent Kubernetes Load Balancing
blog.bytebytego.com·1d
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ComEMS4Build: Comfort-Oriented Energy Management System for Residential Buildings using Hydrogen for Seasonal Storage
arxiv.org·3h
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Why Code Execution is Eating Tool Registries
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