搜索资源列表
Hopfield&Application
- 经典的hopfield神经网络的源程序，With with application in Ap:Autoassociative Memory Associative Recall of Images-classical neural network source, with application in With Ap : Autoassociative Associative Memory Recall of Images
cholesky323232
- 平均因子分解法，适用于正定矩阵First, let s recall the definition of the Cholesky decomposition: Given a symmetric positive definite square matrix X, the Cholesky decomposition of X is the factorization X=U U, where U is the square root matrix of X, and satisfies:
precision_
- 对比分类器的测试数据和输出结果，给出Precsion，Recall和F-Measure-contrast classification of the test data and output the results, given Precsion. Recall and F-Measure
svm_perf.tar
- New training algorithm for linear classification SVMs that can be much faster than SVMlight for large datasets. It also lets you direcly optimize multivariate performance measures like F1-Score, ROC-Area, and the Precision/Recall Break-Even Point.
准确率召回率及f值的计算源码
- 准确率召回率及f值的计算源码，本代码主要用于上述三个数值的计算，主要针对自然语言处理领域检索结果。-the values of the F and the values of Recall and the precession 。the program is offen used in the area of NLP .
prec_rec
- 画出函数的ROC曲线，precision/recall 曲线-function [prec, tpr, fpr, thresh] = prec_rec(score, target, varargin) PREC_REC- Compute and plot precision/recall and ROC curves.
first
- 二维傅里叶变换,对图像进行二维傅里叶变换处理-Two-Dimensional Fast Fourier Transform The purpose of this project is to develop a 2-D FFT program "package" that will be used in several other projects that follow. Your implementation must have the capabilitie
DM4
- 执行流程： 1. 用户输入参数：K的选择，训练数据，测试数据的路径； 2. 读取训练数据集和测试数据集文件，用ArffFileReader类读取并组织起InstanceSet数据结构； 3. 利用上面的相似度量标准，对每一个测试集中的Instance，计算与其最相似的K个训练集中的Instance，通过投票进行分类，将分类结果存储经Instance的成员变量targetGuess中； 4. 对分类结果进行度量，包括分类正确率，各种类别实例的Precision，Recall；Con
CBIR_Relevance
- 该代码为基于内容的图像检索系统CBIR中相关反馈的代码，相关反馈可以提高检索的查全查准率-The code is content-based image retrieval system, relevance feedback CBIR in the code, relevance feedback can improve the retrieval recall precision
bp2
- 用调用函数法实现bp网络，已载入训练和测试样本供大家分享和学习，有较理想的差准率和查全率。-Call function method used to achieve bp network, has been printed in the training and test samples for all to share and learn from, there are better rates and quasi-differential recall.
bpsuanfa
- 模式分类，BP算法，给出查全率和差准率，对隐含层书目进行讨论-Pattern classification, BP algorithm, given recall rate and the poor precision of the hidden layer bibliographic discussion
VOCdevkit_14-Apr-2008.tar
- PASCAL Visual Object Classes，视觉识别竞赛的程序，共有20大类视觉目标。用MATLAB代码写成。能生成precision/recall图。-PASCAL Visual Object Classes, Competition visual recognition procedures, a total of 20 major categories of the visual target. With code written in MATLAB. Able to gen
AI_Blood
- 本次大作业利用K‐近邻（K‐Nearest Neighbor）算法，为给定的训练数据集构造了分类器， 并在测试数据集上进行分类预测，同时计算了Accuracy、Precision、Recall和F‐measure，利用 10‐fold的实验方法进行交叉验证。-The big job to use K-neighbor (K-Nearest Neighbor) algorithm, for a given set of training data classifier is constru
CONLL-2000
- 它是一个可以测试中文命名实体的准确率和召回率和F值的算法-It is a Chinese named entity can test the accuracy and recall rate and F values of the algorithm
recall
- 回溯.rar是一种系统地搜索问题的解的方法。回溯算法的基本思想是：从一条路往前走，能进则进，不能进则退回来，换一条路再试。-Back. Rar is a systematic search of the solution method. The basic idea of backtracking algorithm is: from one way forward, can be entered into, can not enter the return to, try another ro
precisionrecall
- 计算三维模型检索结果的PR曲线（precision recall curve）-compute precision recall curve for 3D model retrieval results
For-the-first-time-to-adapt
- 实用首次适应算法实现主存的分配与回收。操作系统实验源代码，用C语言编写，在VC++6.0上调试通过。-The first practical algorithm to adapt to the distribution of main memory and recall. Experimental operating system source code, using C language, in VC++6.0 on the debugging through.
facebpn
- This program will give better precision and recall rate as this coding uses Back propagation network
Three
- recall.c：回溯法求有向图是否存在回路，将结果输出到文件中。dfs.c：深度优先搜索解决N皇后问题，结果输出到文件。Client.java：一个java编写的即时通讯小程序。-recall. depth-first search. Instant message.
Option-Sensitivity-Measures
- 此程序是关于经济学中布莱克斯科尔斯模型 的matlab实现-This procedure creates a three-dimensional plot showing how gamma changes relative to price for a Black-Scholes option. Recall that gamma is the second derivative of the option price relative to the underlying securit