The past decade has seen an explosion of machine learning research and appli-
cations; especially, deep learning methods have enabled key advances in many
applicationdomains,suchas computervision,speechprocessing,andgameplaying.
However, the performance of many machine learning methods is very sensitive
to a plethora of design decisions, which constitutes a considerable barrier for
new users. This is particularly true in the booming field of deep learning, where
human engineers need to select the right neural architectures, training procedures,
regularization methods, and hyperparameters of all of these components in order to
make their networks do what they are supposed to do with sufficient performance.
This process has to be repeated for every application. Even experts are often left
with tedious episodes of trial and error until they identify a good set of choices for
a particular dataset.
資源簡介:The past decade has seen an explosion of machine learning research and appli- cations; especially, deep learning methods have enabled key advances in many applicationdomains,suchas computervision,speechprocessing,andgameplaying. However, th...
上傳時間: 2020-06-10
上傳用戶:shancjb
資源簡介:Pattern recognition has its origins in engineering, whereas machine learning grew out of computer science. However, these activities can be viewed as two facets of the same field, and together they have undergone substantial development ove...
上傳時間: 2020-06-10
上傳用戶:shancjb
資源簡介:machine learning
上傳時間: 2015-02-05
上傳用戶:來茴
資源簡介:Pascal Programs Printed in GENETIC ALGORITHMS IN SEARCH, OPTIMIZATION, AND MACHINE LEARNING by David E. Goldberg
上傳時間: 2015-04-19
上傳用戶:
資源簡介:Machine Learning with WEKA: An Introduction (講義) 關(guān)于數(shù)據(jù)挖掘和機器學(xué)習(xí)的.
上傳時間: 2013-12-27
上傳用戶:qq521
資源簡介:machine learning, accuracy estimation, cross-validation, bootstrap, ID3, decision trees, decision graphs, naive-bayes, decision tables, majority, induction algorithms, classifiers, categorizers, general logic diagrams, instance-based ...
上傳時間: 2015-07-26
上傳用戶:趙云興
資源簡介:算法實現(xiàn):Jieping Ye. Generalized low rank approximations of matrices. Machine Learning, Vol. 61, pp. 167-191, 2005.
上傳時間: 2015-08-29
上傳用戶:invtnewer
資源簡介:介紹隨機森林(Random Forest)最早的,最經(jīng)典文獻!LEO BREIMAN.Random Forests.Machine Learning, 45, 5–32, 2001
上傳時間: 2015-10-22
上傳用戶:stvnash
資源簡介:YASMET: Yet Another Small MaxEnt Toolkit (Statistical Machine Learning) 由Franz Josef Och編寫,一個簡短但非常經(jīng)典的最大熵統(tǒng)計模型實現(xiàn)源碼。
上傳時間: 2015-11-17
上傳用戶:xiaodu1124
資源簡介:Machine Learning, Neural and Statistical Classification Editors: D. Michie, D.J. Spiegelhalter, C.C. Taylor February 17, 1994
上傳時間: 2015-12-14
上傳用戶:日光微瀾
資源簡介:Machine Learning Weka 數(shù)據(jù)變換,給Arff文件加載權(quán)值,變換為XRFF文件。
上傳時間: 2015-12-16
上傳用戶:wxhwjf
資源簡介:Feature selection is a preprocessing technique frequently used in data mining and machine learning tasks. It can reduce dimensionality, remove irrelevant data, increase learning accuracy, and improve results comprehensibility. FCBF is a fas...
上傳時間: 2014-01-19
上傳用戶:lindor
資源簡介:SIMULATION OF ELECTRIC MACHINE AND DRIVE SYSTEMS USING matlab and simulink
上傳時間: 2016-01-04
上傳用戶:hphh
資源簡介:將軍——一種新的求解大規(guī)模問題的支持向量機程序(軟件)。A Large Scale Machine Learning Toolbox
上傳時間: 2013-12-14
上傳用戶:zq70996813
資源簡介:booster-tree a machine learning method
上傳時間: 2014-06-09
上傳用戶:龍飛艇
資源簡介:Pattern Recognition and Machine Learning Bishop-.pdf 非常好的一本書, pattern recognition 必讀
上傳時間: 2014-05-31
上傳用戶:qoovoop
資源簡介:AdaBoost is an efficient tool in machine learning. It can combine a series of weak learners into a strong learner. Besides pattern classification, it also can be applied into feature selection. This document explains the use of AdaBoost.
上傳時間: 2013-12-06
上傳用戶:小寶愛考拉
資源簡介:An Introduction to Support Vector Machines and Other Kernel-based Learning Methods。一本關(guān)于支持矢量機的英文入門書籍。
上傳時間: 2013-12-01
上傳用戶:hxy200501
資源簡介:machine learning related paper from msra
上傳時間: 2016-09-19
上傳用戶:wyc199288
資源簡介:Pattern Recognition and Machine Learning,模式識別與機器學(xué)習(xí),這是學(xué)習(xí)機器學(xué)習(xí)的一本好書
上傳時間: 2016-10-29
上傳用戶:wqxstar
資源簡介:Pattern Recognition and Machine Learning Solutions to the Exercises,模式識別與機器學(xué)習(xí)的答案
上傳時間: 2014-01-13
上傳用戶:417313137
資源簡介:Bishop 經(jīng)典的Pattern Recognition and Machine Learning的課后題指導(dǎo) 相信對學(xué)習(xí)模式識別的朋友會有幫助
上傳時間: 2013-12-26
上傳用戶:ynsnjs
資源簡介:Data Mining Practical Machine Learning Tools and Techniques 2d ed - Morgan Kaufma
上傳時間: 2013-12-21
上傳用戶:jiahao131
資源簡介:Machine Learning in Computer Vision - N. SEBE
上傳時間: 2013-12-15
上傳用戶:410805624
資源簡介:pattern recognition and machine learning 最經(jīng)典的書
上傳時間: 2014-01-27
上傳用戶:lvzhr
資源簡介:machine learning in computer vision 計算機視覺中的機器學(xué)習(xí) 外文經(jīng)典計算機視覺教程
上傳時間: 2017-02-07
上傳用戶:huyiming139
資源簡介:a function inside machine learning
上傳時間: 2017-02-27
上傳用戶:alan-ee
資源簡介:machine learning algorithm, it is to optimize the model and improve the function
上傳時間: 2017-03-04
上傳用戶:釣鰲牧馬
資源簡介:Machine Learning [Mc-Graw Hill - Tom Mitchell, 1997] by Tantanoid
上傳時間: 2014-12-05
上傳用戶:cccole0605
資源簡介:Data Mining Practical Machine Learning Tools and Techniques
上傳時間: 2014-01-03
上傳用戶:sevenbestfei