1.
K-means Clustering Learning Algorithm Based on Multi-instance
基于多示例的K-means聚类学习算法
2.
Updated Learning Algorithm of Support Vector Data Description Based on K-Means Clustering
改进的基于K均值聚类的SVDD学习算法
3.
Email SVM classification based on SSk-means clustering algorithm
基于SSk-means聚类指导的邮件SVM分类学习算法
4.
A Study of Hierarchical Reinforcement Learning Algorithm Based on Fuzzy Clustering
基于模糊聚类的分层强化学习方法研究
5.
Latent Variable Study Algorithm Based on Grey Cluster Relation Analysis Method
基于灰色关联聚类的隐变量学习算法研究
6.
Intelligent fire detection based on unsupervised learning clustering algorithm of Dignet
基于Dignet无监督学习聚类算法的智能火灾探测
7.
Clustering state membership-based Q-learning for dynamic scheduling
基于聚类状态隶属度的动态调度Q-学习
8.
Document Clustering Description Algorithm Based on Machine Learning
基于机器学习的文本聚类描述算法研究
9.
Dynamic scheduling with fuzzy clustering based Q-learning
基于模糊聚类的Q-学习在动态调度中的应用
10.
Application Research on Clustering Technology and Student Model in E-learning
聚类算法在网络学习学生模型构建中的应用研究
11.
Research on Differential Evolution-Immune and Clustering Algorithm of RBF Neural Network Training Algorithm;
基于微分进化免疫和聚类的RBF网络学习算法研究
12.
Cluster-Based Image Retrieval Through Sampling Cascaded SVM Learning;
基于聚类和重采样层次化SVM学习的图像检索方法
13.
Research on Birch Clustering Algorithm Based on Latent Semantic Indexing and Immunological Learning
基于潜在语义索引和免疫学习的BIRCH聚类算法研究
14.
The Algorithm of Clustering Based RBF-LBF NN and Its Application
基于聚类的RBF-LBF串联神经网络的学习算法及其应用
15.
A Comparalive Study of Inference Learning and Classification Learning in Category Learning;
类别学习中分类学习与推理学习的对比研究
16.
Decision theory, statistical classification, maximum likelihood and Bayesian estimation, non-parametric methods, unsupervised learning and clustering.
决策理论，统计分类，最大似然和贝叶斯估计，非参数方法，非监督的学习与聚类。
17.
A Comparative Study of Two Types of Category Learning:Classification and Inference Learning;
类别学习中两种学习模式的比较研究:分类学习与推理学习
18.
Zoom in on the learner and zoom in on the text;
聚焦学习者 聚焦文本——《综合教程》简介