资源列表
svm
- libsvm is a simple, easy-to-use, and efficient software for SVM classification and regression. It solves C-SVM classification, nu-SVM classification, one-class-SVM, epsilon-SVM regression, and nu-SVM regression. It also provides an automatic mo
bachmayer
- systèmes immunitaires artficiel
e608afba12476b4daa354068c327d9aa1e45
- Learning Vector Quantization (LVQ) and k-Nearest Neighbor for Intrusion Classification
机器学习启蒙源码
- 机器学习启蒙源码,,python,,格式 .ipynb(Source code for machine learning)
Real-CodedQuantum
- 实数编码的单目标量子进化算法，介绍了如何用实数对染色体进行编码-A New Real-Coded Quantum Evolutionary Algorithm，How to use the real number is encoded on chromosome
IntelligentDecisionMaking
- Data Warehouse, ETL, ETL Tools, Workflow Management, Decision Support System (DSS), Differential Evolution Algorithm (DEA), Artificial Neural Networks (ANN).
liblinear-1.7
- 用于解决机器学习中分类问题，里面包含python，matlab和octave的接口及示例。-LIBLINEAR is a simple package for solving large-scale regularized linear classification.
N-GEN-(5)
- The proposed approach is based on three stages which (1) use neural networks for constructing a response function model of a dynamic multiresponse system, (2) use exponential desirability functions for evaluating overall performance of a specific
ANN_Brief_441703840
- 一篇介绍ANN的文章，我们学习机器学习课时老师给的，特别值得一读-1 Introduction ANN' s article, we study machine learning lesson given by a teacher, in particular, is worth a read
MATLAB
- 二阶系统对时域响应性能的影响，单位负反馈系统的单位阶跃响应曲线-Second-order system on the performance of time domain response unit of the negative feedback system unit step response curve
jxsvm
- 交互支持向量机学习算法能解决一些监督学习问 题中学习样本较少的问题, 它以支持向量机(SVM ) 方法为 基础, 将设计分类器变成一个交互的过程, 即: 根据对已知 样本进行的SVM 分类器设计, 主动采样选择“有用”的新样 本, 并进行下一步SVM 分类器的设计。与普通SVM 法相 比, 该方法所需的样本量大大降低, 而且可能达到更好的推 广能力。文本信息过滤问题的实例说明了该算法的有效性。-Interactive support vector machine lear
VisualC++digitalimageprocessing
- 《Visual C++ 数字图像获取 处理及实践应用》源码-"Visual C digital image processing and access to practical applications," FOSS