1.
Study on the Key Problem of the Competing Learning Vector Quantization and Support Vector Machine;
竞争学习向量量化和支持向量机的关键技术研究
2.
An Approach to Mechanism Type Selection Using LVQ Neural Network
采用学习向量量化神经网络法研究机构的选型
3.
Immune Network of Sensor Fault Diagnosis Based on Learning Vector Quantization
基于学习向量量化的传感器免疫网络诊断模型
4.
Incremental Learning Algorithm of Support Vector Machine Based on Vector Projection;
基于向量投影的支持向量机增量学习算法
5.
The Factorial and Construct Validity of the Chinese Self-Directed Learning Readiness Scale for Students;
中学生自我导向学习倾向性量表的结构和效度
6.
Study on Application of Machine Learning Based on Support Vector Machine;
支持向量机在机器学习中的应用研究
7.
Research on the Learning Algorithm of Support Vector Machines;
支持向量机学习算法的若干问题研究
8.
Core Vector Machine in Application of Large-Scale Machine Learning
核向量机在大规模机器学习中的应用
9.
Text categorization based on active learning support vector machines
基于主动学习支持向量机的文本分类
10.
A new geometric fast incremental learning algorithm for support vector machines (SVM) was proposed.
提出了一种新的基于壳向量的增量式支持向量机快速学习算法。
11.
Senior Middle School Students Difficulties with the Space Vectors and the Corresponding Teaching Strtegies;
高中生学习空间向量的困难和相应的教学策略
12.
A teaching-case in research-based learning--application of vector in physics;
研究性学习教学实施一例——向量在物理中的应用
13.
Support Vector Machine( SVMs) have become an popular tool for machine learning task.
支持向量机逐渐成为机器学习的一种方法。
14.
The Study on Smo Algorithm for Training Support Vector Machines
支持向量机的序列最小优化学习算法研究
15.
Firstly, the algorithm of SVM in regression approximation is introduced.
首先，介绍了支持向量回归估计的学习算法。
16.
Study of Some Support Vector Machine Learning Algorithms Based on Non-ideal Data Distribution Status;
非理想状态下支持向量机学习算法的研究
17.
Study of Support Vector Machines Algorithm Based on Statistical Learning Theory;
基于统计学习理论的支持向量机算法研究
18.
Improving Support Vector Machine for Learning Unbalanced Data Set;
一种用于学习非平衡数据支持向量机的改进