Decision theory判决论英文版
上传时间： 2016-10-31
上传用户：亚亚娟娟123
NeC4.5 is a variant of C4.5 Decision tree, which could generate Decision trees more accurate than standard C4.5 Decision trees, through regarding a neural network ensemble as a pre-process of C4.5 Decision tree.
标签： Decision 4.5 accurate generate
上传时间： 2013-12-10
上传用户：anng
模式识别中多类分类问题决策树间接Induction of Decision Trees
标签： Induction Decision Trees of
上传时间： 2013-12-09
上传用户：cooran
Many of the pattern fi nding algorithms such as Decision tree, classifi cation rules and clustering techniques that are frequently used in data mining have been developed in machine learning research community. Frequent pattern and association rule mining is one of the few excep- tions to this tradition. The introduction of this technique boosted data mining research and its impact is tremendous. The algorithm is quite simple and easy to implement. Experimenting with Apriori-like algorithm is the fi rst thing that data miners try to do.
标签： 64257 algorithms Decision pattern
上传时间： 2014-01-12
上传用户：wangdean1101
This demo shows the BER performance of linear, Decision feedback (DFE), and maximum likelihood sequence estimation (MLSE) equalizers when operating in a static channel with a deep null. The MLSE equalizer is invoked first with perfect channel knowledge, then with an imperfect, although straightforward, channel estimation algorithm. The BER results are determined through Monte Carlo simulation. The demo shows how to use these equalizers seamlessly across multiple blocks of data, where equalizer state must be maintained between data blocks.
标签： performance likelihood Decision feedback
上传时间： 2013-11-25
上传用户：1079836864
％For the following 2-class problem determine the Decision boundaries ％obtained by LMS and perceptron learning laws.
标签： boundaries the following determine
上传时间： 2016-11-26
上传用户：guanliya
c4.5 关于决策树Decision tree的matlab实现程序
上传时间： 2017-01-02
上传用户：lanhuaying
this is an weka tool source code implemented in java used for Decision tree
标签： implemented Decision source this
上传时间： 2014-07-12
上传用户：181992417
The first Decision, that has to be made for the AVR platform, is to select the development environment you want to use, either ImageCraft s ICCAVR or GNU s AVR-GCC. The commercial ImageCraft Compiler offers an advanced IDE and is the first choice of most professional developers using a Windows PC. The GNU compiler is available for Linux and Windows.
标签： development the Decision environm
上传时间： 2017-04-21
上传用户：从此走出阴霾
this is Decision tree ID3 algorithm, this algorithm is one of Decision tree algorithm like cart, chaid, c4.5, etc
标签： algorithm Decision this tree
上传时间： 2017-04-23
上传用户：498732662
