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THE DECISION TREE ALGORITHM USED VC
標(biāo)簽： ALGORITHM DECISION TREE USED
上傳時(shí)間： 2014-08-10
上傳用戶：1051290259
Expert Choice represents a significant contribution to the decision making process 工t assists a decision maker in solving complex problems involving many criteria and several courses of action . An Expert Choice solution to a problem reflects the expertise of the decision maker , not the computer . Behavioral scientists have spent many years studying the human mind and how it makes decisions . They have found that humans are influenced by their previous experiences and this causes them to have biases . Basic instincts , preferences and environmental factors also play key roles in how we analyze data and make decisions . There 15 way to remove these factors from human decision making , nor would we necessarily want to , but as the problems of our world become more and more complex , it 15 necessary for us to employ a framework to help make more logical and less biased decisions while still taking our feelings and intuition into consideration .
標(biāo)簽： contribution significant represents decision
上傳時(shí)間： 2015-06-02
上傳用戶：gmh1314
多階段決策過程（ multistep decision process ）是指 這樣一類特殊的活動(dòng)過程，過程可以按時(shí)間順序分解成若干個(gè)相互聯(lián)系的階段，在每一個(gè)階段都需要做出決策，全部過程的決策是一個(gè)決策序列。 動(dòng)態(tài)規(guī)劃 （ dynamic programming ）算法 是解決 多階段決策過程最優(yōu)化問題 的一種常用方法，難度比較大，技巧性也很強(qiáng)。利用動(dòng)態(tài)規(guī)劃算法，可以優(yōu)雅而高效地解決很多貪婪算法或分治算法不能解決的問題。動(dòng)態(tài)規(guī)劃算法的基本思想是：將待求解的問題分解成若干個(gè)相互聯(lián)系的子問題，先求解子問題，然后從這些子問題的解得到原問題的解； 對(duì)于重復(fù)出現(xiàn)的子問題，只在第一次遇到的時(shí)候?qū)λM(jìn)行求解，并把答案保存起來(lái)，讓以后再次遇到時(shí)直接引用答案，不必重新求解 。動(dòng)態(tài)規(guī)劃算法將問題的解決方案視為一系列決策的結(jié)果，與貪婪算法不同的是，在貪婪算法中，每采用一次貪婪準(zhǔn)則，便做出一個(gè)不可撤回的決策；而在動(dòng)態(tài)規(guī)劃算法中，還要考察每個(gè)最優(yōu)決策序列中是否包含一個(gè)最優(yōu)決策子序列，即問題是否具有最優(yōu)子結(jié)構(gòu)性質(zhì)。
標(biāo)簽： multistep decision process 過程
上傳時(shí)間： 2015-06-09
上傳用戶：caozhizhi
gcc支持soft fp 和hard fp兩種，這里是實(shí)現(xiàn)了soft fp.
上傳時(shí)間： 2014-01-01
上傳用戶：aix008
Simulation of RM(1,3), equivalent to the (8,4,4) extended Hamming code. Soft-decision decoding performed by the Green machine
標(biāo)簽： Soft-decision Simulation equivalent decoding
上傳時(shí)間： 2015-07-05
上傳用戶：lindor
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 algorithms, discretization, lazy learning, bagging, MineSet.
標(biāo)簽： decision cross-validation estimation bootstrap
上傳時(shí)間： 2015-07-26
上傳用戶：趙云興
Find a classification error for a given decision surface D and a given set of patterns and targets
標(biāo)簽： given classification and decision
上傳時(shí)間： 2013-12-18
上傳用戶：xinzhch
一個(gè)由Mike Gashler完成的機(jī)器學(xué)習(xí)方面的includes neural net, naive bayesian classifier, decision tree, KNN, a genetic algorithm, and some manifold learning algorithms.
標(biāo)簽： classifier includes bayesian decision
上傳時(shí)間： 2015-09-11
上傳用戶：gaome
機(jī)器人的行為控制模擬程序。用于機(jī)器人的環(huán)境識(shí)別。A robot action decision simulation used for robot enviroment recognition.
標(biāo)簽： robot recognition enviroment simulation
上傳時(shí)間： 2014-08-17
上傳用戶：ryb
hard disk drive spindle motor control simulink, show you how to keep the speed at a level
標(biāo)簽： simulink control spindle drive
上傳時(shí)間： 2015-11-01
上傳用戶：ikemada
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