Zhang Z-Y, Li T, Ding C, Ren X-W and Zhang X-S 2010 Binary matrix factorization for analyzing gene expression data Data Mining and Knowledge Discovery 20 28-52Zhong-Yuan Zhang, Tao Li, Chris Ding, Xian-Wen Ren, and Xiang-Sun Zhang. Binary matrix factorization for analyzing gene ...
We propose a unified framework for Bayesian mean-parameterized nonnegative binary matrix factorization models (NBMF). We analyze three models which correspond to three possible constraints that respect the mean-parameterization without the need for link functions. Furthermore, we derive a novel ...
Binary matrix factorization for analyzing gene expression data. Data Min Knowl Disc. 2010;20(1):28–52. Article Google Scholar Xie J, et al. QUBIC2: a novel and robust biclustering algorithm for analyses and interpretation of large-scale RNA-Seq data. Bioinformatics. 2020;36(4):1143–9....
In this paper we introduce BOLT, a novel approach for the problem of energy disaggregation that performs online binary matrix factorization on a sequence of high frequency current cycles collected in a building to infer additive subcomponents of the current signal. The system learns these constituent...
We introduce a novel binary matrix factorization (BMF) approach based on a post-nonlinear mixture model. Unlike the existing BMF methods, which are based o... S Miron,M Diop,A Larue,... - 《Signal Processing》 被引量: 0发表: 2021年 On the problem of clustering binary matrices: The spa...
Based on Lee and Seung's NMF,3bNMF method is proposed by considering binary constraints for factorized base matrix,presentation matrix and restoration matrix.3bNMF is applied to digital matrix factorization and base structure extraction respectively from Chinese characters with noise.The results are comp...
Our algorithm is able to provide predictions whose quality is on-par with current state-of-the-art solutions (based on matrix factorization techniques), but in shorter time and using less computational resources (memory occupation). Moreover, it is inherently parallelizable, in that the operations...
API Overview Analyze sentiment (binary classification) Categorize support issues (multiclass classification) Predict prices (regression) Categorize iris flowers (k-means clustering) Recommend movies (matrix factorization) Image classification (transfer learning) ...
current Noisy Intermediate-Scale Quantum (NISQ) devices are too small and too noisy to implement complicated algorithms like Shor’s factorization algorithm2or Grover-search-based optimizers6,7. This resulted in a new field of quantum computation that focuses on designing new algorithms requiring signi...
$$\begin{aligned} \rho _{\mathrm{MEMS}}= \begin{bmatrix} 0 &{} 0 &{} 0 &{} 0\\ 0 &{} P_1 &{} -P_1 &{} 0\\ 0 &{} -P_1 &{} P_1 &{} 0\\ 0 &{} 0 &{} 0 &{} P_3\\ \end{bmatrix}, \end{aligned}$$ ...