用游標的方法實現對稱差的計算，即 （A-B）+（B-A）
上傳時間： 2016-05-23
上傳用戶：遠遠ssad
一個用神經網絡方法實現人臉識別的程序，來源于CMU的machine learning 課程作業，具有參考價值
上傳時間： 2013-11-28
上傳用戶：515414293
詞法分析器 對輸入一個函數，并對其分析main() { int a,b a = 10 b = a + 20 }
上傳時間： 2013-12-20
上傳用戶：hfmm633
基因算法，用VC++或MATLAB，java等工具設計一程序計算任一個隨機產生的DNA基因表達式的有效長度和值 設隨機產生的基因表達式為： + Q - / b * b a Q b a a b a a b b a a a b
上傳時間： 2014-01-09
上傳用戶：aa54
函數再現機構設計 試設計一曲柄搖桿機構，再現函數 要求： 輸入構件的轉角范圍180°，輸出構件擺角范圍30°，即： 當輸入構件從a轉至a+90時，輸出構件從b轉至b+30 當輸入構件從a+90轉至a+180時，輸出構件從b+30轉至b
上傳時間： 2013-12-17
上傳用戶：英雄
Recent advances in experimental methods have resulted in the generation of enormous volumes of data across the life sciences. Hence clustering and classification techniques that were once predominantly the domain of ecologists are now being used more widely. This book provides an overview of these important data analysis methods, from long-established statistical methods to more recent machine learning techniques. It aims to provide a framework that will enable the reader to recognise the assumptions and constraints that are implicit in all such techniques. Important generic issues are discussed first and then the major families of algorithms are described. Throughout the focus is on explanation and understanding and readers are directed to other resources that provide additional mathematical rigour when it is required. Examples taken from across the whole of biology, including bioinformatics, are provided throughout the book to illustrate the key concepts and each technique’s potential.
標簽： experimental generation advances enormous
上傳時間： 2016-10-23
上傳用戶：wkchong
這個連接池是直接從JIVE中取出來的，進行了一下修改，使得連接參數直接在程序中設定而不是從屬性文件中讀取。 [b]用法：[/b] 先設定自己的連接參數，在DbConnectionDefaultPool.java文件的loadProperties方法中。注意你也需要設定連接池的log文件的存放位置。
上傳時間： 2016-11-21
上傳用戶：TF2015
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
Semantic analysis of multimedia content is an on going research area that has gained a lot of attention over the last few years. Additionally, machine learning techniques are widely used for multimedia analysis with great success. This work presents a combined approach to semantic adaptation of neural network classifiers in multimedia framework. It is based on a fuzzy reasoning engine which is able to evaluate the outputs and the confidence levels of the neural network classifier, using a knowledge base. Improved image segmentation results are obtained, which are used for adaptation of the network classifier, further increasing its ability to provide accurate classification of the specific content.
標簽： multimedia Semantic analysis research
上傳時間： 2016-11-24
上傳用戶：蟲蟲蟲蟲蟲蟲
漢諾塔?。?！ Simulate the movement of the Towers of Hanoi puzzle Bonus is possible for using animation eg. if n = 2 A→B A→C B→C if n = 3 A→C A→B C→B A→C B→A B→C A→C
標簽： the animation Simulate movement
上傳時間： 2017-02-11
上傳用戶：waizhang
