1.
MULTI-ROBOTS HYBRID HIERARCHICAL ARCHITECTURE BASED ON THE IMPROVED LEARNING CLASSIFIER SYSTEM
基于改进学习分类器的多机器人混合分层体系结构
2.
The classifier is the core of the classifying system, which can be improved through machine learning whenever necessary.
分类器是分类系统的核心，可以通过机器学习不断改进和完善。
3.
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
4.
Analysis of Higher Vocational Students Study Difficulty Types and Improving Measures;
高职学生学习困难类型分析及改进措施
5.
Design of Multicolor Voronoi Classifier with Gradually Local Learning Ablility
具有渐进局部学习特性的多色Voronoi分类器设计
6.
Sentiment Classification for Chinese Reviews with Machine Learning
使用机器学习对汉语评论进行情感分类
7.
Video genre categorization using SVM classifiers with active learning
基于主动学习SVM分类器的视频分类
8.
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
9.
Research on Quantum Group Classifier in Lie Group Machine Learning;
李群机器学习中的量子群分类器研究
10.
Research on a Kind of the Agent Pervasive Machine Learning Classifier;
一种Agent普适机器学习分类器研究
11.
Research and Improvement of ABLE-based Machine Learning System;
基于ABLE的机器学习系统的研究与改进
12.
Design of improved PID controller based on iterative learning control
改进的PID型迭代学习控制器设计
13.
High Dimensional Multispectral Data Classification by Machine Learning;
基于机器学习的高维多光谱数据分类
14.
A Minimum-Distance Classifier with Incremental Learning Capacity;
具有增量学习能力的最小距离分类器
15.
A Study on Classifiers in High-dimensional Space Based on Manifold Learning;
基于流形学习的高维空间分类器研究
16.
Research on Ensemble KNN Classifier Based on Metric-learning Method
基于距离学习的集成KNN分类器的研究
17.
Method of P2P traffic classification using machine learning algorithms
使用机器学习算法分类P2P流量的方法
18.
Research on Text Categorization Based on Machine Learning
基于机器学习的文本分类技术的研究