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[爆卦]Self-organizing map是什麼？優點缺點精華區懶人包

雖然這篇Self-organizing map鄉民發文沒有被收入到精華區：在Self-organizing map這個話題中，我們另外找到其它相關的精選爆讚文章

在 self-organizing產品中有7篇Facebook貼文，粉絲數超過2,646的網紅國立陽明交通大學電子工程學系及電子研究所，也在其Facebook貼文中提到， 【演講】2019/11/19 (二) @工四816 (智易空間)，邀請到Prof. Geoffrey Li（Georgia Tech, USA）與Prof. Li-Chun Wang（NCTU, Taiwan） 演講「Deep Learning based Wireless Resource All...

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「self-organizing」的推薦目錄

self-organizing 在 Shannie Tan Instagram 的最佳貼文

2020-06-03 13:33:54

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  • 國立陽明交通大學電子工程學系及電子研究所

    self-organizing 在 國立陽明交通大學電子工程學系及電子研究所 Facebook 的最佳解答

    2019-11-11 11:02:07
    有 6 人按讚

    【演講】2019/11/19 (二) @工四816 (智易空間)，邀請到Prof. Geoffrey Li（Georgia Tech, USA）與Prof. Li-Chun Wang（NCTU, Taiwan） 演講「Deep Learning based Wireless Resource Allocation／Deep Learning in Physical Layer Communications／Machine Learning Interference Management」

    IBM中心特別邀請到Prof. Geoffrey Li（Georgia Tech, USA）與Prof. Li-Chun Wang（NCTU, Taiwan）前來為我們演講，歡迎有興趣的老師與同學報名參加！

    演講標題：Deep Learning based Wireless Resource Allocation／Deep Learning in Physical Layer Communications／Machine Learning Interference Management
    演 講 者：Prof. Geoffrey Li與Prof. Li-Chun Wang
    時 間：2019/11/19(二) 9:00 ~ 12:00
    地 點：交大工程四館816 (智易空間)
    活動報名網址：https://forms.gle/vUr3kYBDB2vvKtca6

    報名方式：
    費用：（費用含講義、午餐及茶水）
    1.費用：(1) 校內學生免費，校外學生300元/人 (2) 業界人士與老師1500/人
    2.人數：60人，依完成報名順序錄取（完成繳費者始完成報名程序）

    ※報名及繳費方式：
    1.報名：請至報名網址填寫資料
    2.繳費：
    （1）親至交大工程四館813室完成繳費(前來繳費者請先致電)
    （2）匯款資訊如下：
    戶名: 曾紫玲（國泰世華銀行 竹科分行013）
    帳號: 075506235774 (國泰世華銀行 竹科分行013）
    匯款後請提供姓名、匯款時間以及匯款帳號後五碼以便對帳
    ※將於上課日發放課程繳費領據

    聯絡方式：曾紫玲 Tel：03-5712121分機54599 Email：tzuling@nctu.edu.tw

    Abstract:
    1.Deep Learning based Wireless Resource Allocation
    【Abstract】
    Judicious resource allocation is critical to mitigating interference, improving network efficiency, and ultimately optimizing wireless network performance. The traditional wisdom is to explicitly formulate resource allocation as an optimization problem and then exploit mathematical programming to solve it to a certain level of optimality. However, as wireless networks become increasingly diverse and complex, such as high-mobility vehicular networks, the current design methodologies face significant challenges and thus call for rethinking of the traditional design philosophy. Meanwhile, deep learning represents a promising alternative due to its remarkable power to leverage data for problem solving. In this talk, I will present our research progress in deep learning based wireless resource allocation. Deep learning can help solve optimization problems for resource allocation or can be directly used for resource allocation. We will first present our research results in using deep learning to solve linear sum assignment problems (LSAP) and reduce the complexity of mixed integer non-linear programming (MINLP), and introduce graph embedding for wireless link scheduling. We will then discuss how to use deep reinforcement learning directly for wireless resource allocation with application in vehicular networks.

    2.Deep Learning in Physical Layer Communications
    【Abstract】
    It has been demonstrated recently that deep learning (DL) has great potentials to break the bottleneck of the conventional communication systems. In this talk, we present our recent work in DL in physical layer communications. DL can improve the performance of each individual (traditional) block in the conventional communication systems or jointly optimize the whole transmitter or receiver. Therefore, we can categorize the applications of DL in physical layer communications into with and without block processing structures. For DL based communication systems with block structures, we present joint channel estimation and signal detection based on a fully connected deep neural network, model-drive DL for signal detection, and some experimental results. For those without block structures, we provide our recent endeavors in developing end-to-end learning communication systems with the help of deep reinforcement learning (DRL) and generative adversarial net (GAN). At the end of the talk, we provide some potential research topics in the area.

    3.Machine Learning Interference Management
    【Abstract】
    In this talk, we discuss how machine learning algorithms can address the performance issues of high-capacity ultra-dense small cells in an environment with dynamical traffic patterns and time-varying channel conditions. We introduce a bi adaptive self-organizing network (Bi-SON) to exploit the power of data-driven resource management in ultra-dense small cells (UDSC). On top of the Bi-SON framework, we further develop an affinity propagation unsupervised learning algorithm to improve energy efficiency and reduce interference of the operator deployed and the plug-and-play small cells, respectively. Finally, we discuss the opportunities and challenges of reinforcement learning and deep reinforcement learning (DRL) in more decentralized, ad-hoc, and autonomous modern networks, such as Internet of things (IoT), vehicle -to-vehicle networks, and unmanned aerial vehicle (UAV) networks.

    Bio:
    Dr. Geoffrey Li is a Professor with the School of Electrical and Computer Engineering at Georgia Institute of Technology. He was with AT&T Labs – Research for five years before joining Georgia Tech in 2000. His general research interests include statistical signal processing and machine learning for wireless communications. In these areas, he has published around 500 referred journal and conference papers in addition to over 40 granted patents. His publications have cited by 37,000 times and he has been listed as the World’s Most Influential Scientific Mind, also known as a Highly-Cited Researcher, by Thomson Reuters almost every year since 2001. He has been an IEEE Fellow since 2006. He received 2010 IEEE ComSoc Stephen O. Rice Prize Paper Award, 2013 IEEE VTS James Evans Avant Garde Award, 2014 IEEE VTS Jack Neubauer Memorial Award, 2017 IEEE ComSoc Award for Advances in Communication, and 2017 IEEE SPS Donald G. Fink Overview Paper Award. He also won the 2015 Distinguished Faculty Achievement Award from the School of Electrical and Computer Engineering, Georgia Tech.

    Li-Chun Wang (M'96 -- SM'06 -- F'11) received Ph. D. degree from the Georgia Institute of Technology, Atlanta, in 1996. From 1996 to 2000, he was with AT&T Laboratories, where he was a Senior Technical Staff Member in the Wireless Communications Research Department. Currently, he is the Chair Professor of the Department of Electrical and Computer Engineering and the Director of Big Data Research Center of of National Chiao Tung University in Taiwan. Dr. Wang was elected to the IEEE Fellow in 2011 for his contributions to cellular architectures and radio resource management in wireless networks. He was the co-recipients of IEEE Communications Society Asia-Pacific Board Best Award (2015), Y. Z. Hsu Scientific Paper Award (2013), and IEEE Jack Neubauer Best Paper Award (1997). He won the Distinguished Research Award of Ministry of Science and Technology in Taiwan twice (2012 and 2016). He is currently the associate editor of IEEE Transaction on Cognitive Communications and Networks. His current research interests are in the areas of software-defined mobile networks, heterogeneous networks, and data-driven intelligent wireless communications. He holds 23 US patents, and have published over 300 journal and conference papers, and co-edited a book, “Key Technologies for 5G Wireless Systems,” (Cambridge University Press 2017).

  • 煲劇廢噏 Literal Nothing

    self-organizing 在 煲劇廢噏 Literal Nothing Facebook 的最讚貼文

    2019-08-16 00:34:10
    有 4 人按讚


    獲提名奧斯卡金像獎最佳紀錄片的《Winter on Fire: Ukraine's Fight for Freedom / 凜冬烈火：烏克蘭自由之戰》，小編早前也介紹過，非常值得大家一看。紀錄片導演Evgeny Afineevsky最近就發出簽名公開信，為香港抗爭者打氣，鼓勵大家要堅強和團結，因為人民的確能掌握力量並創造改變，並指自己的精神與大家同在，提醒大家時不再來，機不可失！
    .
    以下轉載原文及翻譯：
    //
    Dear people of Hong Kong!
    .
    As someone, who witnessed amazing movement, which started by Ukrainian Youth in November 2013 and then became revolution of Dignity; and someone who created (directed and produced) Oscar Nominated Documentary “WINTER ON FIRE”, I would love to voice my solidarity with you. I would love to encourage you to stay strong and stay united! One of the main things I learned from Maidan, was amazing unity between young and old, between rich and poor, between people of different social classes and nationalities.
    .
    During the 93 days of the Maidan movement, which was also called “Revolution of Dignity,” what was important that, people hold the power to create change. It’s not always in the hands of the government. The idea that freedom and belief in economic stability and democracy can unite people of all nationalities, races, social classes and religions is so important. The fact that different faiths and nationalities can exist together and live peacefully in this region, and with respect for each other, highlights the importance of this movement.
    .
    I’d like for all of you to see, that hope truly lies in the hands of the today’s younger generations, who believe in the possibilities for change and freedom, even when the price for that freedom are their lives. These are young people who want to live in a future where they have a chance at enjoying freedom, and who are ready to stand up for their rights and beliefs under the worst conditions, even bullets. I would also like for you to know, that in order to be a true patriot, you need to be a patriot in your heart and soul; you do not necessarily have to be born where the battles are being waged if they’re being waged where you live.
    .
    Not only did these 93 days completely change Ukraine and the lives of those heroes and patriots participating in the movement, but they also changed the world and world history after that. From the early stages of Maidan, when the United States, Canada and the European Union tried to find a peaceful, diplomatic resolution, to the current situation around the entire war conflict there, this was a movement about true change. Understanding that everything must change - that we all must be open to change - is one of the most important things to learn in life.
    .
    I think the importance of young people’s political awakening, driven by the belief that a much better future is possible in a democratic society with freedom of expression, has never been more resonant. There are new civil rights movements happening all over the world today. People from many different generations, social classes, nationalities and faiths are all self-organizing towards one common goal, and that is both universal and encouraging.
    .
    Remember it’s now or never!
    With you in spirit!
    .
    //
    .
    親愛的香港人︰
    .
    作為見證了2013年11月由烏克蘭青年發起，其後發展成「尊嚴革命」這個驚人時刻的其中一人；以及創作（執導和製作）奧斯卡提名紀錄片《凜冬烈火》(WINTER ON FIRE) 的人，我希望發聲表達對你們的支持。我希望你們能堅強和團結！我在獨立廣場學到一樣重要的東西，那就是團結—不論是年輕人和長者﹑富有的人和窮人﹑還是不同社會階層和不同國藉的人。
    .
    在獨立廣場的運動，也就是「尊嚴革命」持續的93天裡，最關鍵的是人民掌握力量並創造改變。這從來不是政府能掌控的。經濟穩定和民主的自由和信念可以令不同國藉﹑種族﹑社會階層和宗教的人團結起來，這個概念很重要。不同的信仰和民族可以共存，並在這個地方和平地生活﹑相互尊重的場面突顯了這次運動的重要性。
    .
    我想讓你們看到，希望確實掌握在今天這個相信改變的可能性和自由的年輕世代手中，儘管換取自由所付出的代價是他們的生命。那些年輕人都希望將來有機會享有自由，亦準備好為他們的權利和信仰站出來，在最壞的情況下﹑甚至不惜被子彈打都依然站出來。我亦希望你們明白，如果你是真的愛這個地方，你需要從內心到靈魂都認同自己的身份；若鬥爭發生在你居住的地方，而你不是出生在這個地方，你依然要挺身而出。
    .
    這93天不但完全改變了烏克蘭﹑革命中的英雄以及熱愛烏克蘭這個國家的人的一生，也改變了全世界以及今後的歷史。從獨立廣場發起運動的早期階段，美國，加拿大和歐盟嘗試尋求一個和平外交的解決方案，到爆發戰爭衝突並發展成當前局勢，整埸運動象徵的是真正徹底的改變。要明白世上萬物都會改變 ，而我們都必須樂於接受改變，這是生命中最重要的事情之一。
    .
    我認為，相信生活在一個有言論自由的民主社會可以擁有一個更美好的未來，是推動年輕人政治覺醒的關鍵，從來沒有其他東西能比這更能引起共鳴。今天，世界各地都有新的民權運動發起。來自不同世代﹑不同社會階層﹑不同國家和擁有不同信仰的人都紛紛自發去達成同一個目標，這個現象不但普遍而且鼓舞人心。
    .
    切記時不再來，機不可失！
    我的精神與你們同在！
    //

  • Nini Tan

    self-organizing 在 Nini Tan Facebook 的精選貼文

    2019-02-22 15:42:14
    有 2 人按讚


    BE SELF - ORGANIZING SEMINAR

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