Search - entropy data

Search - entropy data - List

[AI-NN-PR] me2svm DL : 0: 将最大熵的数据格式转为SVM分类器所需的数据格式-of maximum entropy data formats SVM classifier to the required data format
Date : 2025-12-26 Size : 2.22mb User : 赵京雷
[AI-NN-PR] ID3 DL : 0: 掌握目前主流的数据挖掘平台与工具。理解关联规则、频繁集、置信度、支持度的概念；了解信息熵的概念。 -A grasp of the present mainstream data mining platform and tools. Understanding of association rules, frequent itemset, confidence, support the concept understand the concept of information entropy.
Date : 2025-12-26 Size : 5kb User : 12
[AI-NN-PR] Bayesian-machine-learn-data-mining DL : 0: 贝叶斯（Bayesion）机器学习相互信息。用于求取熵、联合熵等。改进后可用于随机反演-Bayesian (Bayesion) machine learning of mutual information. Used to obtain entropy, joint entropy and so on. Improved can be used for stochastic inversion
Date : 2025-12-26 Size : 276kb User : Leo
[AI-NN-PR] Image_Feature_Selection_Method_Based_on_Immune_Enc DL : 0: 针对目标与背景两类图像模式识别问题,在已有的特征选择方法基础上,提出了一种新颖的基于免疫分子编码机理的图像特征选择方法(IACA). 该方法借鉴生物免疫系统的抗体分子编码机理,在对样本进行参数估计情况下,提出熵度量单个特征对于目标和背景的识别敏感度从集合的角度研究并且定义了特征之间的包含和互补关系并且基于组成抗体分子氨基酸结合能量最小原则,提出了关于图像目标的免疫抗体构建规则最终实现了寻找最优特征子集的算法IACA ,该特征子集的维数通过算法自动获得无需人为设定,选择结果为目标的“免疫抗体”,能很好的从背景中识别目标. 利用归纳法证明了用IACA 得到的特征子集的最优性. 与其他特征选择方法比较,测试结果显示该算法具有较低的计算复杂度和错误识别率,表明了该方法的优越性和先进性.-Aiming at two classes image pattern recognition problem of object and background , a novel image feature selection method ,named immune antibody construction algorithm ( IACA) is proposed , inspired by the biological immune antibody encoding principle. In the case of sample parameter estimation , IACA considers entropy to measure individual feature’s sensitivity of object and background ,and defines the inclusion and complementary formulas about multi features in set theory perspective. Guided by the minimum energy principle , image immune antibody construction rules and corresponding algorithm are proposed to find an optimized feature subset as object immune antibody. Furthermore ,the dimension of the subset can be automatically determined with out prior setting. The induction proved the result was the optimal feature subset. Data testing result shows that IACA has a lower computational complexity and error recognition rate than other methods ,which has verified the superiority and t
Date : 2025-12-26 Size : 580kb User : 崔冰
[AI-NN-PR] Computational-Linguistics DL : 0: 计算语言学PPT-常宝宝北京大学计算语言学研究所介绍的内容有n-gram和数据平滑、熵和语言模型评价、隐马尔可夫模型、有限状态技术和形态分析-PPT-often baby Computational Linguistics Institute of Computational Linguistics of Peking University introduced n-gram content and data smoothing, entropy and the language model evaluation, hidden Markov models, finite state technology and morphological analysis, etc.
Date : 2025-12-26 Size : 8.92mb User : 吴鹏
[AI-NN-PR] id3 DL : 0: 数据挖掘中经典算法id3的Java实现，包括信息熵的实现等。-Data mining in the classic algorithm Java ID3 implementation, including the realization of the information entropy.
Date : 2025-12-26 Size : 37kb User : chengrufeng
[AI-NN-PR] bpback DL : 0: 神经网络比较基础的算法，实现梯度下降和反向传播，以及L2规范化、交叉熵代价函数的引入，卷积神经网络该算法用于mnist数据测试，有详细中文注释-Neural network based on the comparison algorithm, gradient descent and back-propagation, and L2 standardization introduced cross entropy cost function, convolution neural network algorithm for mnist test data, a detailed Chinese Notes
Date : 2025-12-26 Size : 4kb User : li
[AI-NN-PR] egcix DL : 0: 仿真效果非常好，可以实现模式识别领域的数据的分类及回归，能量熵的计算。- Simulation of the effect is very good, You can achieve data classification and regression pattern recognition, Energy entropy calculation.
Date : 2025-12-26 Size : 6kb User : 王伟立
[AI-NN-PR] mt121 DL : 0: 能量熵的计算，实现用SDRAM运行nios，同时用SRAM保存摄像头数据，汽车课设货车Matlab驱动力图程序。- Energy entropy calculation, Implemented with SDRAM run nios, while saving camera data SRAM, Car class-based truck driver trying to Matlab program.
Date : 2025-12-26 Size : 6kb User : 魏晓