Large-Scale Kernel Machines 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


Large-Scale Kernel Machines

简体网页||繁体网页
Bottou, Leon (EDT)/ Chapelle, Olivier (EDT)/ Decoste, Dennis (EDT)/ Weston, Jason (EDT) 作者
The MIT Press
译者
2007-8-17 出版日期
408 页数
USD 47.00 价格
Hardcover
丛书系列
9780262026253 图书编码

Large-Scale Kernel Machines 在线电子书 图书标签: 机器学习  MachineLearning  KernelMethods  machine_learning  Kernel   


喜欢 Large-Scale Kernel Machines 在线电子书 的读者还喜欢




点击这里下载
    

想要找书就要到 图书目录大全
立刻按 ctrl+D收藏本页
你会得到大惊喜!!

发表于2024-12-23


Large-Scale Kernel Machines 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Large-Scale Kernel Machines 在线电子书 epub 下载 mobi 下载 pdf 下载 txt 下载 2024

Large-Scale Kernel Machines 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024



Large-Scale Kernel Machines 在线电子书 用户评价

评分

评分

评分

评分

评分

Large-Scale Kernel Machines 在线电子书 著者简介


Large-Scale Kernel Machines 在线电子书 图书目录


Large-Scale Kernel Machines 在线电子书 pdf 下载 txt下载 epub 下载 mobi 在线电子书下载

Large-Scale Kernel Machines 在线电子书 图书描述

Pervasive and networked computers have dramatically reduced the cost of collecting and distributing large datasets. In this context, machine learning algorithms that scale poorly could simply become irrelevant. We need learning algorithms that scale linearly with the volume of the data while maintaining enough statistical efficiency to outperform algorithms that simply process a random subset of the data. This volume offers researchers and engineers practical solutions for learning from large scale datasets, with detailed descriptions of algorithms and experiments carried out on realistically large datasets. At the same time it offers researchers information that can address the relative lack of theoretical grounding for many useful algorithms. After a detailed description of state-of-the-art support vector machine technology, an introduction of the essential concepts discussed in the volume, and a comparison of primal and dual optimization techniques, the book progresses from well-understood techniques to more novel and controversial approaches. Many contributors have made their code and data available online for further experimentation. Topics covered include fast implementations of known algorithms, approximations that are amenable to theoretical guarantees, and algorithms that perform well in practice but are difficult to analyze theoretically.ContributorsLeon Bottou, Yoshua Bengio, Stephane Canu, Eric Cosatto, Olivier Chapelle, Ronan Collobert, Dennis DeCoste, Ramani Duraiswami, Igor Durdanovic, Hans-Peter Graf, Arthur Gretton, Patrick Haffner, Stefanie Jegelka, Stephan Kanthak, S. Sathiya Keerthi, Yann LeCun, Chih-Jen Lin, Gaelle Loosli, Joaquin Quinonero-Candela, Carl Edward Rasmussen, Gunnar Ratsch, Vikas Chandrakant Raykar, Konrad Rieck, Vikas Sindhwani, Fabian Sinz, Soren Sonnenburg, Jason Weston, Christopher K. I. Williams, Elad Yom-TovLeon Bottou is a Research Scientist at NEC Labs America. Olivier Chapelle is with Yahoo! Research. He is editor of Semi-Supervised Learning (MIT Press, 2006). Dennis DeCoste is with Microsoft Research. Jason Weston is a Research Scientist at NEC Labs America.

Large-Scale Kernel Machines 在线电子书 下载 mobi epub pdf txt 在线电子书下载

想要找书就要到 图书目录大全
立刻按 ctrl+D收藏本页
你会得到大惊喜!!

Large-Scale Kernel Machines 在线电子书 读后感

评分

评分

评分

评分

评分

类似图书 点击查看全场最低价

Large-Scale Kernel Machines 在线电子书 pdf 下载 txt下载 epub 下载 mobi 下载 2024


分享链接





Large-Scale Kernel Machines 在线电子书 相关图书




本站所有内容均为互联网搜索引擎提供的公开搜索信息,本站不存储任何数据与内容,任何内容与数据均与本站无关,如有需要请联系相关搜索引擎包括但不限于百度google,bing,sogou

友情链接

© 2024 book.wenda123.org All Rights Reserved. 图书目录大全 版权所有