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  1. modelling - What is the difference between "information model" …

    Dec 19, 2018 · Information model: An information model is a representation of concepts, relationships, constraints, rules, and operations to specify data semantics for a chosen domain …

  2. How much do llms know? - Computer Science Stack Exchange

    May 20, 2024 · The "7B" means the model has 7 billion parameters, not that it "knows 7gb of text info". Representing the weights/parameters of the model probably takes about 4*7 billion bytes …

  3. graphics - Why are polygon meshes explicit representations of a …

    So, how is a polygon mesh an explicit representation of a model when you're only storing information about the vertices and/or edges (depending on what data structure implementation …

  4. Relation and difference between information retrieval and …

    From Wikipedia Information retrieval is the activity of obtaining information resources relevant to an information need from a collection of information resources. Searches can be based on …

  5. What is meant by the term "prior" in machine learning

    Jun 13, 2017 · I have read several papers where they have employed deep learning for various applications and have used the term "prior" in most of the model design cases, say prior in …

  6. SLAM (model checking) at microsoft: successors?

    Feb 13, 2025 · The SLAM project at Microsoft (as detailed in this slide) was highly regarded for detecting bugs in Windows device drivers. Some of its key strengths include discovering real …

  7. information theory, find entropy given Markov chain

    Jul 16, 2019 · Start asking to get answers Find the answer to your question by asking. Ask question probability-theory information-theory entropy markov-chains

  8. What algorithm can be used to implement code folding for the C ...

    May 8, 2025 · At this point, I need to update the folding model in the most efficient way possible — ideally by re-parsing only a minimal portion of the code. Can someone suggest which …

  9. algorithms - Generate scale-free networks with power-law degree ...

    I'm trying to reproduce the synthetic networks (graphs) described in some papers. It is stated that the Barabasi-Albert model was used to create "scale-free networks with power-law degree …

  10. Does 1NF require that there can be no duplicate rows?

    Jan 15, 2018 · 1NF is the most basic of normal forms - each cell in a table must contain only one piece of information, and there can be no duplicate rows. If I am correct, "there can be no …