Results 251 to 260 of about 22,894 (307)

Uncovering the mechanisms of synergistic drug combinations in non-small cell lung cancer through metagene-based classification. [PDF]

PLoS One
Lomloy C, Yamashita PR, Termsaithong T, Laomettachit T.   +3 more
europepmc   +1 more source

Offline and online coupled tensor factorization with knowledge graph. [PDF]

PLoS One
Lee S, Park YC, Kang U.
europepmc   +1 more source

Prior-guided factorization for reliable imputation of scRNA-seq data. [PDF]

PLoS Comput Biol
Wu Y, Xu L, Aung YW, Daoud AM.
europepmc   +1 more source

A Systematic Review of Topic Modeling Techniques for Electronic Health Records. [PDF]

Healthcare (Basel)
Mehmood I, Zahra Z, Iqbal S, Qahmash A, Hussain I.   +4 more
europepmc   +1 more source

A subspace learning aided matrix factorization for drug repurposing. [PDF]

Bioimpacts
Zhalefar AM, Narimani Z.
europepmc   +1 more source

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The Factorization Method

Reviews of Modern Physics, 1951
The factorization method is an operational procedure which enables us to answer, in a direct manner, questions about eigenvalue problems which are of importance to physicists. The underlying idea is to consider a pair of first-order differential-difference equations which are equivalent to a given second-order differential equation with boundary ...
L Infeld
exaly   +2 more sources

A monte carlo method for factorization

BIT Numerical Mathematics, 1975
The following simple method will find small prime factors \(p\) of a number \(n\) in \(O(p^{1/2})\) arithmetical operations as opposed to the \(O(p)\) operations required by trial division. Let \(x_0=2\), \(x_{i+1}\equiv x_i^2-1\pmod n\) (other similar sequences may be used). Generate in turn the pairs \((x_j,x_{2j})\), accumulating the product \(\pmod
J M Pollard
exaly   +3 more sources

Error Characterization of the Factorization Method

Computer Vision and Image Understanding, 2001
Summary: This paper studies error characterization of the factorization method for 3-D shape and motion recovery from image sequences using matrix perturbation theory and covariance propagation for linear models. Given the 2-D projections of a set of feature points across multiple image frames and small perturbations/covariances of the feature point ...
Zhaohui Sun, Visvanathan Ramesh, A. Murat Tekalp   +2 more
openaire   +1 more source