搜索资源列表
LNMF
- 人工智能模式识别中基于非负矩阵分解生成特征空间的算法-artificial intelligence pattern recognition based on non-negative matrix factorization generation features of the algorithm space
GEPAlgorithm
- 基因表达式编程 基本算法 能够完成术用于公式发现、函数挖掘，关联规,则挖掘，因子分解，和预测等-gene expression programming algorithm can be used for the completion of the formula found that function Mining, related regulations, mining, factorization, and the forecast
NMF.zip
- 很不错的NMF代码！里面对NMF做了一个非常巧妙的非负限制.,NMF code is very good! NMF done inside of a very clever non-negative constraints.
NMF
- 非负矩阵分解的人脸识别NMF 可正常运行 算法源码-Non-negative matrix factorization NMF for face recognition algorithms can be the normal operation of source
NNMFSearchResultClusteringSource
- Non Negative Matrix Factorization (NNMF) might sound scary, but it s a relatively simple technique that extracts "features" from a document/term matrix. These features represent a cluster of terms within the documents, with each term belonging to eac
nmf(train)
- 用于入侵检测系统开发的非负矩阵分解算法，用于对KDD99数据进行样本训练。-Intrusion detection system for the development of non-negative matrix factorization algorithm, the data sample used for KDD99 training.
math-problems
- 一些数学问题算法模板，稍微做了下分类 目录 1 欧几里得和模线性方程 欧几里德 扩展欧几里德 模线性方程 2 欧拉φ函数 扩展欧拉函数 3 线性时间素数筛法 生成欧拉函数表 4 因式分解 5 Nim游戏和sg函数 合肥B 题 -Some mathematical problems algorithm template, do a little under Categories 1and mode of linear eq
PMF
- Probabilistic Matrix Factorization 算法 用VS2010 C++实现，用于协同过滤。performs well on the large, sparse, and very imbalanced Netflix dataset。-we present the Probabilistic Matrix Factorization (PMF) model which scales linearly with the number of observ
spider
- 机器学习matlab源代码，包括多分类SVM，模式识别，特征选择，回归等算法。-The spider is intended to be a complete object orientated environment for machine learning in Matlab. Aside from easy use of base learning algorithms, algorithms can be plugged together and can be compared with
nway320
- 张量分解程序，支持平行因子分解模型和TUCKER分解模型-Tensor decomposition process, and support for parallel factorization model and TUCKER decomposition model
PMF
- C++实现的Probabilistic Matrix Factorization（PMF） 算法，用于推荐系统-Probabilistic Matrix Factorization（PMF）in C++
resolution_chlesky
- In linear algebra, the Cholesky decomposition or Cholesky factorization is a decomposition of a Hermitian, positive-definite matrix into the product of a lower triangular matrix and its conjugate transpose, useful for efficient numerical solutions an
spams-matlab2.5
- 数据挖掘机器学习的在线字典学习稀疏矩阵分解源码-Data mining online dictionary learning sparse matrix factorization source
NMF
- 非负矩阵Non-negative分解的人脸识别NMF 可正常运行.-Non-negative matrix factorization NMF for face recognition algorithms can be the normal
attentionFactorizaitonMachine
- Attension FM的理论论文，可用于高度稀疏数据场景，并且具有线性的计算复杂度(Factorization Machines (FMs) are a supervised learning approach that enhances the linear regres- sion model by incorporating the second-order fea- ture interactions)
spams-matlab-v2.5-svn2014-07-04.tar
- 基于Online Learning for Matrix Factorization and Sparse Coding的在线字典学习算法，本压缩包为作者的源代码(The online dictionary learning based on the paper "Online Learning for Matrix Factorization and Sparse Coding". This compression package is the author's sourc