Non-negative Matrix Factorization 非负矩阵分解

【Non-negative Matrix Factorization 非负矩阵分解】的更多相关文章

Non-negative Matrix Factorization 非负矩阵分解

著名的科学杂志<Nature>于1999年刊登了两位科学家D.D.Lee和H.S.Seung对数学中非负矩阵研究的突出成果.该文提出了一种新的矩阵分解思想――非负矩阵分解(Non-negative Matrix Factorization,NMF)算法,即NMF是在矩阵中所有元素均为非负数约束条件之下的矩阵分解方法.该论文的发表迅速引起了各个领域中的科学研究人员的重视:一方面,科学研究中的很多大规模数据的分析方法需要通过矩阵形式进行有效处理,而NMF思想则为人类处理大规模数据提供了一种新的途径…

非负矩阵分解NMF

http://blog.csdn.net/pipisorry/article/details/52098864 非负矩阵分解(NMF,Non-negative matrix factorization) NMF的发展及原理著名的科学杂志<Nature>于1999年刊登了两位科学家D.D.Lee和H.S.Seung对数学中非负矩阵研究的突出成果.该文提出了一种新的矩阵分解思想--非负矩阵分解(Non-negative Matrix Factorization,NMF)算法,即NMF是在矩阵中所…

Matrix Factorization SVD 矩阵分解

Today we have learned the Matrix Factorization, and I want to record my study notes. Some kownledge which I have learned before is forgot...(呜呜) 1.Terminology 单位矩阵:identity matrix 特征值:eigenvalues 特征向量:eigenvectors 矩阵的秩:rank 对角矩阵:diagonal matrix 对角化矩阵…

【RS】Sparse Probabilistic Matrix Factorization by Laplace Distribution for Collaborative Filtering - 基于拉普拉斯分布的稀疏概率矩阵分解协同过滤

[论文标题]Sparse Probabilistic Matrix Factorization by Laplace Distribution for Collaborative Filtering (24th-IJCAI ) (Proceedings of the Twenty-Fourth International Joint Conference on Artificial Intelligence (IJCAI 2015) ) [论文作者]Liping Jing, PengWa…

【RS】List-wise learning to rank with matrix factorization for collaborative filtering - 结合列表启发排序和矩阵分解的协同过滤

[论文标题]List-wise learning to rank with matrix factorization for collaborative filtering (RecSys '10 recsys.ACM ) [论文作者] Yue ShiDelft University of Technology, Delft, Netherlands Martha LarsonDelft University of Technology, Delft, Netherlands Alan Ha…

【RS】Matrix Factorization Techniques for Recommender Systems - 推荐系统的矩阵分解技术

[论文标题]Matrix Factorization Techniques for Recommender Systems(2009,Published by the IEEE Computer Society) [论文作者]Yehuda Koren(Yahoo Research) , Robert Bell and Chris Volinsky( AT&T Labs—Research) [论文链接]Paper(8-pages // Double column) [Info] 此篇论文的作者是n…

[线性代数] 矩阵代数進階：矩阵分解 Matrix factorization

Matrix factorization 导语:承载上集的矩阵代数入门,今天来聊聊进阶版,矩阵分解.其他集数可在[线性代数]标籤文章找到.有空再弄目录什麽的. Matrix factorization is quite like an application of invertible matrices, where L is an invertible matrix in LU factorization. As you may have seen, that solving Ax=b for…