Decision 算法
上传时间： 2013-12-23
上传用户：wys0120
Quality, object.oriented architecture is the product of careful study, Decision making, and experimentation. At a minimum, the object.oriented architecture process includes farming of requirements, architecture mining, and hands.on experience. Ideally, object.oriented architecture comprises a set of high.quality design Decisions that provide benefits throughout the life cycle of the system.
标签： architecture Decision oriented Quality
上传时间： 2014-10-28
上传用户：love_stanford
THE Decision TREE ALGORITHM USED VC
标签： ALGORITHM Decision TREE USED
上传时间： 2014-08-10
上传用户：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 .
标签： contribution significant represents Decision
上传时间： 2015-06-02
上传用户：gmh1314
多阶段决策过程（ multistep Decision process ）是指 这样一类特殊的活动过程，过程可以按时间顺序分解成若干个相互联系的阶段，在每一个阶段都需要做出决策，全部过程的决策是一个决策序列。 动态规划 （ dynamic programming ）算法 是解决 多阶段决策过程最优化问题 的一种常用方法，难度比较大，技巧性也很强。利用动态规划算法，可以优雅而高效地解决很多贪婪算法或分治算法不能解决的问题。动态规划算法的基本思想是：将待求解的问题分解成若干个相互联系的子问题，先求解子问题，然后从这些子问题的解得到原问题的解； 对于重复出现的子问题，只在第一次遇到的时候对它进行求解，并把答案保存起来，让以后再次遇到时直接引用答案，不必重新求解 。动态规划算法将问题的解决方案视为一系列决策的结果，与贪婪算法不同的是，在贪婪算法中，每采用一次贪婪准则，便做出一个不可撤回的决策；而在动态规划算法中，还要考察每个最优决策序列中是否包含一个最优决策子序列，即问题是否具有最优子结构性质。
标签： multistep Decision process 过程
上传时间： 2015-06-09
上传用户：caozhizhi
Simulation of RM(1,3), equivalent to the (8,4,4) extended Hamming code. Soft-Decision decoding performed by the Green machine
标签： Soft-Decision Simulation equivalent decoding
上传时间： 2015-07-05
上传用户：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.
标签： Decision cross-validation estimation bootstrap
上传时间： 2015-07-26
上传用户：赵云兴
Find a classification error for a given Decision surface D and a given set of patterns and targets
标签： given classification and Decision
上传时间： 2013-12-18
上传用户：xinzhch
Hard-Decision decoding scheme Codeword length (n) : 31 symbols. Message length (k) : 19 symbols. Error correction capability (t) : 6 symbols One symbol represents 5 bit. Uses GF(2^5) with primitive polynomial p(x) = X^5 X^2 + 1 Generator polynomial, g(x) = a^15 a^21*X + a^6*X^2 + a^15*X^3 + a^25*X^4 + a^17*X^5 + a^18*X^6 + a^30*X^7 + a^20*X^8 + a^23*X^9 + a^27*X^10 + a^24*X^11 + X^12. Note: a = alpha, primitive element in GF(2^5) and a^i is root of g(x) for i = 19, 20, ..., 30. Uses Verilog description with synthesizable RTL modelling. Consists of 5 main blocks: SC (Syndrome Computation), KES (Key Equation Solver), CSEE (Chien Search and Error Evaluator), Controller and FIFO Register.
标签： symbols length Hard-Decision Codeword
上传时间： 2014-07-08
上传用户：曹云鹏
一个由Mike Gashler完成的机器学习方面的includes neural net, naive bayesian classifier, Decision tree, KNN, a genetic algorithm, and some manifold learning algorithms.
标签： classifier includes bayesian Decision
上传时间： 2015-09-11
上传用户：gaome
