1.
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
2.
K-means Clustering Learning Algorithm Based on Multi-instance
基于多示例的K-means聚类学习算法
3.
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
4.
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
5.
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
6.
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
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