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surprise_toolkit.0.05a
- Bayesian Surprise Toolkit for Matlab T. Nathan Mundhenk, Laurent Itti-Bayesian Surprise Toolkit for Matlab T. Na than Mundhenk, Laurent Itti
Games
- Bayes分类器——算法设计 1． 使用决策树(Decision tree)分类算法、朴素贝叶斯（Naï ve Bayes）算法或者K-近邻（kNN）算法（三者任选其一）对给定的训练数据集构造分类器，并在测试数据集上进行分类预测。 2． 数据集描述： Tic-tac-toe游戏的二叉分类。Tic-tac-toe游戏示例如下-Bayes classifier- Algorithm 1. Using the decision tree (Decision tree) classi
8digitalWidthsearch
- 经典的人工智能实验8数码宽度搜索--自河工05级计算机赵丽娜-Classic experiment in artificial intelligence 8 digital width search- 05 computer from the Hebei University of Technology Li-Na Zhao
Matlabeg
- 基于 Ma t l a b语言的遗传算法工具箱支持二进制和浮点数编码方式， 并且提供了多种选择、 交叉、 变异的方法。 通过具体实例对 Ma t l a b的遗传 算法工具箱的用法进行 了说 明介绍.-The Ge ne t i c Al g or it h m To o l b ox ba s e d on Ma t l a b s u ppo ~s t h e b i na r y a nd f lo a t ， a n d t he r e a r e t
Programming-Assignment-Sharp3
- Write a program to solve the systems of linear equations via Gauss-Seidel method, one of the iterative-method strategies produce a sequence of approximate solution vectors for the system. And compare this with the naï ve Gaussian elimination meth
Machine_Learning
- 包括无监督和监督的机器学习技术 • K-means and other clustering tools • Neural Networks • Decision trees and ensemble learning • Naï ve Bayes Classification • Linear, logistic and nonlinear regression-Highlights include unsu
bayes
- 贝叶斯分类算法是统计学的一种分类方法，它是一类利用概率统计知识进行分类的算法。在许多场合，朴素贝叶斯(Naï ve Bayes，NB)分类算法可以与决策树和神经网络分类算法相媲美.- Bayesian classification algorithm is a statistical classification method, which is a kind of knowledge to classify the use of probabilistic algorithms.
MOEA-NSGA-II
- NSGA (No n- Do mina te d So r ting in Ge ne tic Alg o r ithms [5 ]) is a p o pula r no n-do mina tio n ba s e d g e ne tic a lg o r ithm fo r multi- o b je c tive o ptimiz a tio n. I t is a ve r y e ff e c tive a lg o r ithm but ha s b e e n g