K2结构学习算法,K2
1)K2K2结构学习算法
英文短句/例句
1.Rock Desertification Data Feature Selection Method Based on K2 Structure Learning Algorithm一种基于K2结构学习算法的石漠化数据特征选择方法
2.Bayesian Network Classifier for Multi-spectral Image Based on K2 Structure Learning Algorithm基于K2结构学习算法的多光谱影像贝叶斯网络分类器
3.The Research of Bayesian Network Structure Learning Algorithms Based on K2 Score Metric基于K2评分的贝叶斯网结构学习算法的研究
4.Research of a Bayesian Network Structure Learning Algorithm;一种Bayesian网结构学习算法的研究
5.Adaptive Functional Networks Loop Structures and Learning Algorithm自适应泛函网络循环结构与学习算法
6.Improved multi-class classification incremental learning algorithm based on sphere structured SVM改进的球结构SVM多分类增量学习算法
7.Algorithm of Bayesian Network Structural Learning Based on Quantum Genetic;基于量子遗传算法的贝叶斯网络结构学习
8.Research on Structure Learning of Bayesian Classifier Based on Genetic Algorithms;基于遗传算法的贝叶斯分类器结构学习研究
9.Structure Learning Algorithm for DBN Transition Networks Based on Ant Colony Optimization基于蚁群优化的DBN转移网络结构学习算法
10.Algorithm research of Markov network structural learning based on information entropy基于信息熵的Markov网络结构学习算法研究
11.Algorithm of Iterative Leaning Control Based on Sliding Mode Variable Structure Control基于滑模变结构的迭代学习控制器算法
12.Image object′s semantic hierarchy and its unsupervised learning algrithm图像目标语义层级结构及其非监督学习算法
13.Policy gradient algorithm based on internal structural MPOMDP model基于内部结构MPOMDP模型的策略梯度学习算法
14.Stochastic Sample Based Algorithm for Learning Bayesian Networks一种基于随机抽样的贝叶斯网络结构学习算法
15.The ANN Architecture Learning Method Based on SEGA基于多物种进化遗传算法的神经网络结构学习方法
16.PLS Algorithm and Its Applications to SRM-Based Machine Learning;偏最小二乘算法及其在基于结构风险最小化的机器学习中的应用
17.Structure Design, Learning Algorithms and Applications of Recurrent Neural Networks;反馈神经网络的结构设计、学习算法及其应用研究
18.Optimization of SVM with RBF Kernel and Its Application on Protein Secondary Structure Prediction;基于RBF核的SVM学习算法优化及其在蛋白质二级结构预测中的应用
相关短句/例句
structure study algorithm结构学习算法
3)variable structure learning algorithm变结构学习算法
4)IE-K2 algorithmIE-K2算法
1.IE-K2 algorithm which constructs gene regulatory network was proposed to obtain correct execution order of nodes and to improve the execution efficiency and precision.为获得正确的节点次序,提高K2算法的执行效率和精确度,提出一种构建基因调控网络的IE-K2算法。
5)K2 algorithmsK2算法
1.We utilized theK2 algorithms and adaptive genetic algorithms to construct Bayesian network of college mathematics courses on the basis of 1984~ s 10 courses scores of school of statistics from a certain university.基于某高校统计学院自1984~间学生所学10门课程的成绩,利用K2算法并结合自适应遗传算法构建了课程贝叶斯网。
6)K2 algorithmK2算法
1.IE-K2 algorithm which constructs gene regulatory network was proposed to obtain correct execution order of nodes and to improve the execution efficiency and precision.为获得正确的节点次序,提高K2算法的执行效率和精确度,提出一种构建基因调控网络的IE-K2算法。
2.To overcome the defect thatK2 algorithm requires the suitable order of nodes in advance while dealing with the structure learning of Bayesian Network Classifier (BNC), the algorithm GA-K2 is proposed which introduces the integer coding genetic algorithm based on selective ensemble concept to K2.为克服K2算法在处理贝叶斯网络分类器(BayesianNetworkClassifier,BNC)结构学习中要求先指定适合节点次序的缺点,提出GA-K2算法,将基于选择性集成的整数编码遗传算法引入到K2算法中,使之能得到最佳节点次序并且网络结构收敛到全局最优。
3.We propose to combine the gene expression data and Gene Ontology,to rank the transcription factors by their important degrees,and then construct a Bayesian network by usingK2 algorithm to describe the interactions between them.提出将基因本体论(Gene Ontology)中的背景知识同基因表达值相结合,利用GeneRank算法思想来计算转录因子的重要性排名,再通过K2算法构建贝叶斯网络以刻画这些转录因子间关系的方法。
延伸阅读
逆推学习算法分子式：CAS号：性质：又称逆推学习算法，简称BP算法，是1986年鲁梅哈特(D. E. Rumelhart)和麦克莱朗德(J. L. McClelland)提出来的。用样本数据训练人工神经网络(一种模仿人脑的信息处理系统)，它自动地将实际输出值和期望值进行比较，得到误差信号，再根据误差信号从后(输出层)向前(输入层)逐层反传，调节各神经层神经元之间的连接权重，直至误差减至满足要求为止。反向传播算法的主要特征是中间层能对输出层反传过来的误差进行学习。这种算法不能保证训练期间实现全局误差最小，但可以实现局部误差最小。BP算法在图像处理、语音处理、优化等领域得到应用。
