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  2. Unit commitment problem in electrical power production

    en.wikipedia.org/wiki/Unit_Commitment_Problem_in...

    UC is therefore one of the fundamental problems in power system management and simulation. It has been studied for many years, [1] [2] and still is one of the most significant energy optimization problems. Recent surveys on the subject [3] [4] count many hundreds of scientific articles devoted to the problem.

  3. Donald Bren School of Information and Computer Sciences

    en.wikipedia.org/wiki/Donald_Bren_School_of...

    ICS buildings (center and left) viewed from the top of Bren Hall. The Donald Bren School of Information and Computer Sciences, also known colloquially as UCI's School of ICS or simply the Bren School, is an academic unit of the University of California, Irvine (UCI), and the only dedicated school of computer science in the University of California system.

  4. Flux (text-to-image model) - Wikipedia

    en.wikipedia.org/wiki/Flux_(text-to-image_model)

    The tools consisting of Flux.1 Fill for inpainting and outpainting, Flux.1 Depth for control based on extracted depth map of input images and prompts, Flux.1 Canny for control based on extracted canny edges of input images and prompts, and Flux.1 Redux for mixing existing input images and prompts. Each tools are available in both Dev and Pro ...

  5. Prompt engineering - Wikipedia

    en.wikipedia.org/wiki/Prompt_engineering

    In-context learning, refers to a model's ability to temporarily learn from prompts.For example, a prompt may include a few examples for a model to learn from, such as asking the model to complete "maison → house, chat → cat, chien →" (the expected response being dog), [23] an approach called few-shot learning.

  6. Reinforcement learning from human feedback - Wikipedia

    en.wikipedia.org/wiki/Reinforcement_learning...

    The reward model is first trained in a supervised manner to predict if a response to a given prompt is good (high reward) or bad (low reward) based on ranking data collected from human annotators. This model then serves as a reward function to improve an agent's policy through an optimization algorithm like proximal policy optimization. [3] [4] [5]

  7. Template : Durrett Probability Theory and Examples 5th Edition

    en.wikipedia.org/wiki/Template:Durrett...

    {{Durrett Probability Theory and Examples 5th Edition}} will display: Durrett, Richard (2019). Probability: Theory and Examples (PDF). Cambridge Series in Statistical and Probabilistic Mathematics. Vol. 49 (5th ed.). Cambridge New York, NY: Cambridge University Press. ISBN 978-1-108-47368-2. OCLC 1100115281

  8. Berkeley Physics Course - Wikipedia

    en.wikipedia.org/wiki/Berkeley_Physics_Course

    There was a parallel series of laboratory courses developed by Alan Portis. [5] The Heathkit company marketed a line of its electronic instruments which had been adapted for use with Berkeley series of lab manuals. [6]: 149 The series was translated into a number of foreign languages. [7]

  9. Anima Anandkumar - Wikipedia

    en.wikipedia.org/wiki/Anima_Anandkumar

    Here she started working on tensor decompositions of latent variable models. [5] She joined Microsoft Research in New England as a visiting scientist in 2012. In 2013 she was awarded a National Science Foundation CAREER Award to investigate big data and social networks. [6] She was made an assistant professor with tenure at UC Irvine in 2016. [7]