Results 21 to 30 of about 150,142 (264)
Improved ALS Online Recommendation Algorithm with Missing Data Modeling [PDF]
Implicit feedback has data noise and lacks negative feedback.When using matrix decomposition method to train recommendation model,the feature extraction is not clear and the recommendation result is skewed.Aiming at these problems,an improved Alternating
XING Yuying,XIA Hongbin,WANG Han.
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A decomposition scheme was applied to ALOS/PALSAR data obtained from a fast-growing tree plantation in Sumatra, Indonesia to extract tree stem information and then estimate the forest stand volume.
Yoshio Yamaguchi +6 more
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Some Combinatorial Results on the Factor Group K (G)
character matrix ( ) from the character table of and finding the invariant factors of this matrix, the primary decomposition of the factor group where is determined.
Manal Najy Yagoob, Ahmed Abed Ali Omran
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Probability Matrix Decomposition Models [PDF]
In this paper, we consider a class of models for two-way matrices with binary entries of 0 and 1. First, we consider Boolean matrix decomposition , conceptualize it as a latent response model (LRM) and, by making use of this conceptualization ...
Maris, E., DeBoeck, P., Mechelen, I. van
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Arbitrary decomposition of a Mueller matrix [PDF]
Mueller polarimetry involves a variety of instruments and technologies whose importance and scope of applications are rapidly increasing. The exploitation of these powerful resources depends strongly on the mathematical models that underlie the analysis and interpretation of the measured Mueller matrices and, very particularly, on the theorems for ...
José J. Gil, Ignacio San José
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Structured Matrix Methods Computing the Greatest Common Divisor of Polynomials
This paper revisits the Bézout, Sylvester, and power-basis matrix representations of the greatest common divisor (GCD) of sets of several polynomials. Furthermore, the present work introduces the application of the QR decomposition with column pivoting ...
Christou Dimitrios +2 more
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Key agreement protocol in infinite semigroup representation level
Matrix decomposition problem over integer ring is presented. Solving methods are discussed and it is showed, that this problem is hard computational problem regard to computer memory resources.
Artūras Katvickis +2 more
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Column-coherent matrix decomposition
AbstractMatrix decomposition is a widely used tool in machine learning with many applications such as dimension reduction or visualization. In this paper we consider decomposing X, a matrix of size $$n \times m$$ n × m , to a product WS ...
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Parallel Cholesky Decomposition and Its Application Based on GPU [PDF]
In the clMAGMA library of OpenCL parallel computing framework,the large size block parallel method is used in the Cholesky decomposition algorithm,which can not make full use of the high speed local memory of GPU,and there are many data transfers between
SHEN Yan,DAI Yuxing
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The Eigenspace Spectral Regularization Method for Solving Discrete Ill-Posed Systems
This paper shows that discrete linear equations with Hilbert matrix operator, circulant matrix operator, conference matrix operator, banded matrix operator, TST matrix operator, and sparse matrix operator are ill-posed in the sense of Hadamard.
Fredrick Asenso Wireko +3 more
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