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Advances in Machine Learning and Signal Processing

Machine

Learning

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Editors (view affiliations) Ping Jack SohWai Lok WooHamzah Asyrani SulaimanMohd Azlishah OthmanMohd Shakir Saat

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Lecture Notes in Electrical Engineering 387

PingJackSoh

WaiLokWoo

HamzahAsyraniSulaiman

MohdAzlishahOthman

MohdShakirSaat

Editors

Advances in

Machine Learning

and Signal

Processing

Proceedings of MALSIP 2015

Lecture Notes in Electrical Engineering

Volume 387

Board of Series editors

Leopoldo Angrisani, Napoli, Italy

Marco Arteaga, Coyoacán, México

Samarjit Chakraborty, München, Germany

Jiming Chen, Hangzhou, P.R. China

Tan Kay Chen, Singapore, Singapore

Rüdiger Dillmann, Karlsruhe, Germany

Haibin Duan, Beijing, China

Gianluigi Ferrari, Parma, Italy

Manuel Ferre, Madrid, Spain

Sandra Hirche, München, Germany

Faryar Jabbari, Irvine, USA

Janusz Kacprzyk, Warsaw, Poland

Alaa Khamis, New Cairo City, Egypt

Torsten Kroeger, Stanford, USA

Tan Cher Ming, Singapore, Singapore

Wolfgang Minker, Ulm, Germany

Pradeep Misra, Dayton, USA

Sebastian Möller, Berlin, Germany

Subhas Mukhopadyay, Palmerston, New Zealand

Cun-Zheng Ning, Tempe, USA

Toyoaki Nishida, Sakyo-ku, Japan

Bijaya Ketan Panigrahi, New Delhi, India

Federica Pascucci, Roma, Italy

Tariq Samad, Minneapolis, USA

Gan Woon Seng, Nanyang Avenue, Singapore

Germano Veiga, Porto, Portugal

Haitao Wu, Beijing, China

Junjie James Zhang, Charlotte, USA

About this Series

“Lecture Notes in Electrical Engineering (LNEE)” is a book series which reports

the latest research and developments in Electrical Engineering, namely:

• Communication, Networks, and Information Theory

• Computer Engineering

• Signal, Image, Speech and Information Processing

• Circuits and Systems

• Bioengineering

LNEE publishes authored monographs and contributed volumes which present

cutting edge research information as well as new perspectives on classical ﬁelds,

while maintaining Springer’s high standards of academic excellence. Also

considered for publication are lecture materials, proceedings, and other related

materials of except ionally high quality and interest. The subject matter should be

original and timely, reporting the latest research and developments in all areas of

electrical engineering.

The audience for the books in LNEE consists of advanced level students,

researchers, and industry professionals working at the forefront of their ﬁelds. Much

like Springer’ s other Lecture Notes series, LNEE will be distributed through

Springer’s print and electronic publishing cha nnels.

More information about this series at http://www.springer.com/series/7818

Ping Jack Soh

•

Wai Lok Woo

Hamzah Asyrani Sulaiman

Mohd Azlishah Othman

•

Mohd Shakir Saat

Editors

Advances in Machine

Learning and Signal

Processing

Proceedings of MALSIP 2015

123

Editors

Ping Jack Soh

Universiti Teknikal Malaysia Melaka

Durian Tunggal, Melaka

Malaysia

Wai Lok Woo

Newcastle University

Singapore

Hamzah Asyrani Sulaiman

Universiti Teknikal Malaysia Melaka

Durian Tunggal, Melaka

Malaysia

Mohd Azlishah Othman

Universiti Teknikal Malaysia Melaka

Durian Tunggal, Melaka

Malaysia

Mohd Shakir Saat

Universiti Teknikal Malaysia Melaka

Durian Tunggal, Melaka

Malaysia

ISSN 1876-1100 ISSN 1876-1119 (electronic)

Lecture Notes in Electrical Engineering

ISBN 978-3-319-32212-4 ISBN 978-3-319-32213-1 (eBook)

DOI 10.1007/978-3-319-32213-1

Library of Congress Control Number: 2016939910

This work is subject to copyright. All rights are reserved by the Publisher, whether the whole or part

of the material is concerned, speciﬁcally the rights of translation, reprinting, reuse of illustrations,

recitation, broadcasting, reproduction on microﬁlms or in any other physical way, and transmission

or information storage and retrieval, electronic adaptation, computer software, or by similar or dissimilar

methodology now known or hereafter developed.

The use of general descriptive names, registered names, trademarks, service marks, etc. in this

publication does not imply, even in the absence of a speciﬁc statement, that such names are exempt from

the relevant protective laws and regulations and therefore free for general use.

The publisher, the authors and the editors are safe to assume that the advice and information in this

book are believed to be true and accurate at the date of publication. Neither the publisher nor the

authors or the editors give a warranty, express or implied, with respect to the material contained herein or

for any errors or omissions that may have been made.

Printed on acid-free paper

This Springer imprint is published by SpringerNature

The registered company is Springer International Publishing AG Switzerland

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Advances in Machine Learning1

Advances in Machine Learning1 Advances in Machine Learning1

Advances in Financial Machine Learning

Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Readers will learn how to structure Big data in a way that is amenable to ML algorithms; how to conduct research with ML algorithms on that data; how to use supercomputing methods; how to backtest your discoveries while avoiding false positives. The book addresses real-life problems faced by practitioners on a daily basis, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their particular setting. Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance.

financial-signal-processing:使用信号处理和 Python 的原理设计和实施股票交易者。奥林学院数字信号处理课程的期末项目 [2015 年Spring]

金融信号处理使用信号处理和 Python 的原理设计和实施股票交易者。奥林学院数字信号处理课程的期末项目 [2015 年Spring]。安装这里的代码依赖于 scipy/numpy 堆栈以及 Pandas。使用 Anaconda 发行版的用户只需安装以下内容—— pip install arrow pip install pyalgotrade 一项数据收集功能需要“请求”模块。这包含在 Anaconda 发行版中。那些不使用 Anaconda 的人可能会运行sudo pip install requests来安装它。

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Advances in Machine Learning and Signal Processing

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Advances in Machine Learning1

Advances in Financial Machine Learning

financial-signal-processing:使用信号处理和 Python 的原理设计和实施股票交易者。 奥林学院数字信号处理课程的期末项目 [2015 年Spring]

与“数字信号处理理论与应用”相关的期刊和会议有哪些

advances in financial machine learning

advances in financial machine learning pdf

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自动灌溉海外参考文献近三年

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financial-signal-processing:使用信号处理和 Python 的原理设计和实施股票交易者。奥林学院数字信号处理课程的期末项目 [2015 年Spring]