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Statistical-Learning-theory

  • Modern Multivariate Statistical Techniques

    Multivariate Analysis

    標(biāo)簽: Multivariate Analysis

    上傳時間: 2015-04-14

    上傳用戶:4gezifu

  • Machine learning in action

    機(jī)器學(xué)習(xí)實戰(zhàn) 英文原版 涵蓋基礎(chǔ)算法的實戰(zhàn)演練和源碼

    標(biāo)簽: machine learning

    上傳時間: 2015-04-14

    上傳用戶:dyd1123

  • VERILOG LEARNING DOCUMENT

    good document for beginner to learn verilog

    標(biāo)簽: verilog learning

    上傳時間: 2015-05-01

    上傳用戶:1411013111

  • word2vec源碼分析

    mikolove 開源軟件word2vec源碼分析,深入了解deep learning模型

    標(biāo)簽: dl woed2vec

    上傳時間: 2015-06-18

    上傳用戶:xuyue

  • Writing Analytically ( 6th Edition )

    《分析性寫作》,介紹言簡意賅: The popular, brief rhetoric that treats writing as thinking, WRITING ANALYTICALLY, Sixth Edition, offers a series of prompts that lead you through the process of analysis and synthesis and help you to generate original and well-developed ideas. The book's overall point is that learning to write well means learning to use writing as a way of thinking well. To that end, the strategies of this book describe thinking skills that employ writing. As you will see, this book treats writing as a tool of thought--a means of undertaking sustained acts of inquiry and reflection.

    標(biāo)簽: Writing Analyticall

    上傳時間: 2015-08-22

    上傳用戶:東大寺的

  • 香農(nóng)信息論的開山之作

    《A mathematical theory of communication》,Shannon信息論的開山之作,此文可以看作是現(xiàn)代通信的理論基礎(chǔ)。文中提出熵作為信息的度量,個人認(rèn)為仍是不可替代的。在量子信息中提出的量子信息熵,可以看作是一種模仿。學(xué)理工科的人都應(yīng)該好好學(xué)習(xí)看看。當(dāng)然,同時期的蘇聯(lián)科學(xué)家從數(shù)學(xué)的角度(概率論)給出了幾乎一模一樣的結(jié)果。只是過程更加抽象與嚴(yán)謹(jǐn)。

    標(biāo)簽: 信息論 Information Theory

    上傳時間: 2016-02-28

    上傳用戶:與可12138

  • Phase Unwrapping 2D

    Two 2D phase unwrapping approaches are included:  1. Phase quality guided path following method.  2. Goldstein's branch cut method. The algorithms are described in:  D. C. Ghiglia and M. D. Pritt, Two-Dimensional Phase Unwrapping:  Theory, Algorithms and Software. New York: Wiley-Interscience, 1998.

    標(biāo)簽: Unwrapping Phase 2D

    上傳時間: 2016-04-30

    上傳用戶:seanjsj

  • Microphone Arrays : A Tutorial

    This report presents a tutorial of fundamental array processing and beamforming theory relevant to microphone array speech processing. A microphone array consists of multiple microphones placed at different spatial locations. Built upon a knowledge of sound propagation principles, the multiple inputs can be manipulated to enhance or attenuate signals emanating from particular directions. In this way, microphone arrays provide a means of enhancing a desired signal in the presence of corrupting noise sources. Moreover, this enhancement is based purely on knowledge of the source location, and so microphone array techniques are applicable to a wide variety of noise types. Microphone arrays have great potential in practical applications of speech processing, due to their ability to provide both noise robustness and hands-free signal acquisition.

    標(biāo)簽: Microphone array Tutorial Array Signal Processing

    上傳時間: 2016-06-12

    上傳用戶:halias

  • gold caculation method

    caculation,method,gold,optimazation theory and methods,matlab

    標(biāo)簽: caculation method gold optimazation

    上傳時間: 2016-12-22

    上傳用戶:楊一一一

  • Learning OpenCV中文版

    主要針對圖像處理的opencv開源庫應(yīng)用

    標(biāo)簽: Learning OpenCV

    上傳時間: 2017-02-12

    上傳用戶:xiaojiwei98

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