decision theory判決論英文版
上傳時間： 2016-10-31
上傳用戶：亞亞娟娟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.
標簽： decision 4.5 accurate generate
上傳時間： 2013-12-10
上傳用戶：anng
模式識別中多類分類問題決策樹間接Induction of Decision Trees
標簽： Induction Decision Trees of
上傳時間： 2013-12-09
上傳用戶：cooran
Introduction to the Altera Nios II Soft Processor
標簽： Introduction Processor Altera Nios
上傳時間： 2013-12-22
上傳用戶：qq21508895
center you may down load soft?may be you are best.so you can load down
上傳時間： 2014-01-09
上傳用戶：牛津鞋
再傳個由于soft dicision 方面的程序吧,這個對目前學編碼的人來說,是相當重要的,也是現在最熱的領域. 呵呵,還請站長早點開通我的帳戶吧,先謝謝了. 本人的方向是弄編碼的,所以這次上傳的主要是這方面的內容.
上傳時間： 2014-01-07
上傳用戶：txfyddz
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.
標簽： 64257 algorithms decision pattern
上傳時間： 2014-01-12
上傳用戶：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.
標簽： performance likelihood decision feedback
上傳時間： 2013-11-25
上傳用戶：1079836864
翻譯的Soft core processors and embedded processing: a survey and analysis論文，可供大家參考，
標簽： processors processing and analysis
上傳時間： 2014-01-10
上傳用戶：a6697238
％For the following 2-class problem determine the decision boundaries ％obtained by LMS and perceptron learning laws.
標簽： boundaries the following determine
上傳時間： 2016-11-26
上傳用戶：guanliya
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