نتایج جستجو برای: support matrices
تعداد نتایج: 729430 فیلتر نتایج به سال:
why some learners are willing to communicate in english, concurrently others are not, has been an intensive investigation in l2 education. willingness to communicate (wtc) proposed as initiating to communicate while given a choice has recently played a crucial role in l2 learning. it was hypothesized that wtc would be associated with language learning orientations (llos) as well as social suppo...
let a; b; k 2 k and u ; v 2 u(k). we show for any idempotent e 2 k, ( a 0 b 0 ) is e-clean i ( a 0 u(vb + ka) 0 ) is e-clean and if ( a 0 b 0 ) is 0-clean, ( ua 0 u(vb + ka) 0 ) is too.
Although foresight has become increasingly relevant at the international level, little methodological attention has been given to the challenges that arise from the geographical dispersion of participants or the consideration of their national and regional idiosyncrasies. In this paper, we address these challenges in connection with coordination tools for the 'Open Method of Coordination' – mos...
The prediction of protein relative solvent accessibility gives us helpful information for the prediction of tertiary structure of a protein. The SVMpsi method which uses support vector machines (SVMs) and the position specific scoring matrix (PSSM) generated from PSI-BLAST has been applied to achieve better prediction accuracy of the relative solvent accessibility. We have introduced a three di...
MOTIVATION Identifying bacterial promoters is an important step towards understanding gene regulation. In this paper, we address the problem of predicting the location of promoters and their transcription start sites (TSSs) in Escherichia coli. The accepted method for this problem is to use position weight matrices (PWMs), which define conserved motifs at the sigma-factor binding site. However ...
The multivariate multi-response (MVMR) linear regression problem is investigated, in which design matrices are Gaussian with covariance matrices Σ = ( Σ, . . . ,Σ ) for K linear regressions. The support union of K p-dimensional regression vectors (collected as columns of matrix B∗) are recovered using l1/l2-regularized Lasso. Sufficient and necessary conditions to guarantee successful recovery ...
We propose a novel computational method known as RVM-LPQ that combines the Relevance Vector Machine (RVM) model and Local Phase Quantization (LPQ) to predict PPIs from protein sequences. The main improvements are the results of representing protein sequences using the LPQ feature representation on a Position Specific Scoring Matrix (PSSM), reducing the influence of noise using a Principal Compo...
Planning under conditions of uncertainty, time pressure, and other stressors is a complex cognitive activity for military command post staff members. The Army and the Marine Corps have developed formal planning models intended as step-by-step guides. However, these models are inconsistent with the actual strategies of skilled planners, and they slow down the decision cycle. As a result, the for...
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