Byzantine-robust distributed sparse learning forM-estimation Jiyuan Tu,Weidong Liu,Xiaojun MaoPages 3773-3804 Download PDF(3471KB)View Article OriginalPaper Scenic: a language for scenario specification and data generation Daniel J. Fremont,Edward Kim,Tommaso Dreossi,Shromona Ghosh…Pages 3805-3849 ...
In this chapter we describe major issues of interest in machine learning. Then we concentrate on supervised inductive machine learning of concepts from data. We review two major approaches to inductive machine learning, rule algorithms and decision tree
Part of the book series:The Springer International Series in Engineering and Computer Science(SECS, volume 755) Accesses Citations Altmetric About this book Machine Learning:Discriminative and Generativecovers the main contemporary themes and tools in machine learning ranging from Bayesian probabilistic mode...
Raman Jhajj - Mastering MLOps Architecture_ From Code to Deployment_ Manage the production cycle of continual learning ML models 373 p. Ramacharaka - The Science of Breath_ The Essential Works of Yogi Ramacharaka_ (The Library of Spiritual Wisdom)-St. Martin's Es 437 p. Ram Dass -...
This book first introduces artificial intelligence (AI) and machine learning (ML), then deles into conceptual and theoretic aspects of static and dynamic ML techniques. The author then describes practical applications and cloes by introducing implementat
The Elements of Statistical Learning: Data Mining, Inference, and Prediction 2nd edn. (Springer, 2001). Book Google Scholar Jordan, M.I. & Mitchell, T.M. Science 349, 255–260 (2015). Article CAS Google Scholar Lever, J., Krzywinski, M. & Altman, N. Nat. Methods 13, 703–704 ...
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Walter Koechner - Solid-state laser engineering-Springer(2006).pdf 激光物理,固体激光器基础,固体激光工程,英文版资料 上传者:kofiliu2018时间:2019-07-06 Springer-LNCS word格式 The template, splnproc1110.dotm, has been designed for authors preparing a paper to be published in one of Springer’s co...
M Pazzani,D Kibler - 《Machine Learning》 被引量: 570发表: 1992年 Regularization in statistics , andLugosi, G. (1996),A probabilistic theory of pattern recognition, Vol. 31 ofApplications of Mathematics (New York). Springer-Verlag, New York. ... PJ Bickel,L Bo,AB Tsybakov,... - 《...
In Chapter Two, we surveyed the history of business analytics as a whole, noting that statistics and machine learning developed separately from data warehousing and business intelligence. In this chapter, we pick up where Chapter Two left off with a review of recent trends in machine learning: ...