搜索资源列表
FULLTEXT01
- CBIR-Two novel contributions to Content Based Image Retrieval are presented and discussed. The fi rst is a search engine for font recognition. The intended usage is the search in very large font databases. The input to the search engine is a
Content-based-Image-Retrieval
- Two novel contributions to Content Based Image Retrieval are presented and discussed. The fi rst is a search engine for font recognition. The intended usage is the search in very large font databases. The input to the search engine is an i
Custom-Evaluation
- 提出一种基于粗糙集与支持向量机的客户动态评估方法。根据客户群特点从当前价值、潜在价值和附加价值三个维度分析并构建客户评估指标，利用指标的年增幅率监测客户价值的变化规律。应用粗糙集布尔推理算法、粒子群算法实现连续属性离散化和知识约简。通过10-重交叉验证和网格搜索技术获取最优惩罚因子与核参数，缩放样本数据集并完成支持向量机一对一分类器的训练与测试。结果表明该评估方法能够实现周期性的客户价值评估与细分，具有很强的泛化能力。- A customer dynamic evaluation method
matlab
- 栅格搜索算法，实现领域最小搜索。可生成山谷线等。-Grid search algorithm, the minimum search of the field. Generates Valley lines.
JAVA-Eight-digital-problem
- 九宫排字问题（又称八数码问题）是人工智能当中有名的难题之一。问题是在 3×3 方格盘上，放有八个数码，剩下第九个为空，每一空格其上下左右的数码可移至空格。问题给定初始位置和目标位置，要求通过一系列的数码移动，将初始位置转化为目标位置。本文介绍用普通搜索方法、双向广度搜索和启发式搜索如何缩短寻找路径的时间，以及各算法间的利与弊。-Jiugong typesetting problem (also known as eight digital problem) is one of famous pr
SVM-parameter-selection
- 支持向量机SVM参数的设置，采用网格搜索法对C和G两个参数进行粗选和精选。-Support vector machine SVM parameter setting, using the grid search method for C and G for roughing and two parameters chosen.
SVMcgForRegress
- 使用网格搜索进行支持向量机的参数求解。。。(Using grid search to solve the parameter solution of support vector machine)