作者:Bradley Efron出品人:页数:276译者:出版时间:2010-8-5价格:GBP 48.00装帧:Hardcoverisbn号码:9780521192491丛书系列:图书标签: 机器学习 Statistics 统计学习 large-scale Bayesian 人工智能 计算机科学 算法 Large-Scale Inference 2025 pdf epub mobi 电子书 图书描述 ...
Large-Scale Inference: Empirical Bayes Methods for Estimation, Testing, and Prediction, vol. I of Institute of Mathematical Statistics Monographs. Cambridge: Cambridge University Press. To be published 2011.Efron, B. (2010). Large-scale inference: Empirical Bayes methods for estimation, testing and ...
Large-Scale Inference 作者: Bradley Efron 出版社: Cambridge University Press副标题: Empirical Bayes Methods for Estimation, Testing, and Prediction出版年: 2012-11-29页数: 276定价: GBP 28.99装帧: PaperbackISBN: 9781107619678豆瓣评分 评价人数不足 ...
Bradley Efron. Large-Scale Inference: Empirical Bayes Methods for Estimation, Testing, and Prediction. New York: Cambridge University Press, 2010. ISBN 978This comprehensive journey leads us through the era of massive scientific production data and its proper statistical analysis. In order to ...
Large-Scale Inference 作者:Bradley Efron 出版社:Cambridge University Press 副标题:Empirical Bayes Methods for Estimation, Testing, and Prediction 出版年:2010-8-5 页数:276 定价:GBP 48.00 装帧:Hardcover 丛书:Institute of Mathematical Statistics Monographs...
Large-scale Inference by Brad Efron is the first IMS Monograph in this new series, coordinated by David Cox and published by Cambridge University Press. Since I read this book immediately after Cox’ and Donnelly’s Principles of Applied Statistics, I was thinking of drawing a parallel between ...
The plasma proteome is highly dynamic and variable, composed of proteins derived from surrounding tissues and cells. To investigate the complex processes that control the composition of the plasma proteome, we developed a mass spectrometry-based proteomi
我们希望weight function对更大的内积能赋予更高的权重,我们可以证明,对与满足这种要求的weight function,parallel residual error比orthogonal residual error要更加重要。 尽管c3和x具有更近的欧氏距离,但是c2对比c3有更好的量化效果,即更准确的<q1, x-c>,因为c3的平行误差更大,...
Large Scale Graph inferenceOverviewGraphical Inference is a remarkable algorithm for graph analytics that abstracts knowledge combining probabilities and graph representations. It captures useful insights for solving problems like malware detection, genomics analysis, IoT analytics, or online advertisement. ...
Vidur: A Large-Scale Simulation Framework For LLM Inference 摘要:Optimizing the deployment of Large language models (LLMs) is expensive today since it requires experimentally running an application…