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Correlation matrix for normalized (ranked) factor values

Acquiring Translation Equivalences of Multiword Expressions by Normalized Correlation Frequencies

Acquiring Translation Equivalences of Multiword Expressions by Normalized Correlation Frequencies

... Table 2 shows the candidate words for the Chi- nese term 斷章取義 (quote/take/interpret out of context) sorted by their ncf values. To illustrate the effectiveness ncf, we also display candidate words of the term with ...

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Computing a Nearest Correlation Matrix with Factor Structure

Computing a Nearest Correlation Matrix with Factor Structure

... A quadratically convergent Newton method for computing the nearest correlation matrix. SIAM J[r] ...

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Appendix 1: Correlation Matrix

Appendix 1: Correlation Matrix

... Observations 7,099 7,099 7,099 7,099 7,099 7,099 R-squared 0.177 0.117 0.180 0.195 0.158 0.181 Root MSE 4.336 1.662 3.854 3.667 5.214 2.781 Note: The sample under investigation is hotels operating in Vietnam. The ...

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Visualization of a Stock Market Correlation Matrix

Visualization of a Stock Market Correlation Matrix

... (the correlation matrix is a square, symmetric matrix with ones on the diagonal, giving n(n − 1)/2 unique correlations for n ...reasonable values of n, but even as memory and CPU power ...

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Dating multiple change points in the correlation matrix

Dating multiple change points in the correlation matrix

... 1. Introduction The detection of change points in sequences of random variables is an important prob- lem with a wide range of applications. Briefly, the problem can be stated as follows: a sequence of random variables ...

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Recovery of Missing Values using Matrix Decomposition Techniques

Recovery of Missing Values using Matrix Decomposition Techniques

... been normalized with the z-score normalization technique ...the correlation ranking does not change all over the ...the correlation is constant all over the entire ...

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Relative perturbation results for matrix eigenvalues and singular values

Relative perturbation results for matrix eigenvalues and singular values

... normal matrix is the same as the error bound for eigenvalues of the best scaled version of its positive-denite polar ...scaling matrix is extracted from its positive-denite polar ...

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Full-waveform inversion of triplicated data using a normalized-correlation-coefficient-based misfit function

Full-waveform inversion of triplicated data using a normalized-correlation-coefficient-based misfit function

... The dashed line denotes the extended second arrivals due to the high-velocity anomaly. The short vertical bars on the seismograms indicate the time window used in the inversion. (e) and (f) show the corresponding adjoint ...

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Using temporal correlation in factor analysis for reconstructing transcription factor activities

Using temporal correlation in factor analysis for reconstructing transcription factor activities

... connectivity matrix, that is, we run the FA algorithm with decreasing numbers of given zero position in the prior loadings ...connectivity matrix the FA algorithms can reconstruct the same TF activity ...

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ENAMeL : a language for binary correlation matrix memories : reducing the memory constraints of matrix memories

ENAMeL : a language for binary correlation matrix memories : reducing the memory constraints of matrix memories

... ing factor still leads to an exponential increase in the memory requirements, there is an order of magnitude improvement compared to storing the matrices ...

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A Rule Chaining Architecture Using a Correlation Matrix Memory

A Rule Chaining Architecture Using a Correlation Matrix Memory

... 8 A Rule Chaining Architecture Using a Correlation Matrix Memory The graphs in Fig. 3 are contour plots showing the recall error rates for the ARCA architecture for a given depth of search tree and memory ...

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Matrix-Variate Probabilistic Model for Canonical Correlation Analysis

Matrix-Variate Probabilistic Model for Canonical Correlation Analysis

... canonical correlation analysis [4], in this paper, we propose a matrix-variate factor analysis model that has the property that its maximum likelihood solution extracts the canonical ...

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Optimisation of Correlation Matrix Memory Prognostic and Diagnostic Systems

Optimisation of Correlation Matrix Memory Prognostic and Diagnostic Systems

... In order to demonstrate that the ntuple encoding of tokens is better at preserving the relationship between the ordering of sorted(distance(v, v 0 )) and sorted(Hamming(t, t 0 )) , a two dimensional feature space was ...

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On the simultaneous calibration of multi-factor log-normal interest-rate models to Black volatilities and to the correlation matrix Riccardo Rebonato 1

On the simultaneous calibration of multi-factor log-normal interest-rate models to Black volatilities and to the correlation matrix Riccardo Rebonato 1

... implied correlation (see Equations (4) and (5), and Rebonato (1998) for a detailed discussion of risk-neutral drifts in the swap-rate-based ...overall correlation between different forward rates is ...

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Jastrow correlation factor for atoms, molecules, and solids

Jastrow correlation factor for atoms, molecules, and solids

... mal values of L ␹ and L f are approximately independent of the system size, so that overall the cost of updating the Ja- strow factor after each electron move scales as O共 N 兲 ...

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A Correlation Analysis of Normalized Indicators of

A Correlation Analysis of Normalized Indicators of

... Distribution of publications in the Arts & Humanities subject category by FWCI and SNIP 129. excluding extreme values[r] ...

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Factor Substitution and Factor Augmenting Technical Progress in the US: A Normalized Supply-Side System Approach

Factor Substitution and Factor Augmenting Technical Progress in the US: A Normalized Supply-Side System Approach

... Are factor-income ratios stationary, as the theory would imply? Based on the “eyeball” econometrics the three panels of Figure 1 show that these stationarity requirements are not, at least, strongly ...of ...

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Stationarity and Invertibility of a Dynamic Correlation Matrix

Stationarity and Invertibility of a Dynamic Correlation Matrix

... conditional correlation (or DCC) ...conditional correlation model; (ii) provides the motivation, which is presently missing, for standardization of the conditional covariance model to obtain the conditional ...

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Distribution of the Sample Correlation  Matrix and Applications

Distribution of the Sample Correlation Matrix and Applications

... covariance matrix between different components in a joint distribution remains probably the most direct ap- ...zero correlation while being dependent. Hence, no-correlation and independence are two ...

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A microfoundation for normalized CES production functions with factor-augmenting technical change

A microfoundation for normalized CES production functions with factor-augmenting technical change

... aggregate normalized CES production function from idea-based micro- foundations where firms are allowed to choose their capital- and labor-augmenting technology optimally from a menu of available ...through ...

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