abstract background: parent–infant attachment is an important factor in accepting parenting role, accelerating infant survival, and adjusting to the environment outside the uterus. since family supportive interventions can strengthen the parent–infant caring relationship, this study sought to investigate the relationship between mother–infant attachment and satisfaction of the mothers with the ...

background: mental disorder is one of the most important diseases of which is predicted to increase from 10.5% to 15% until 2020. this study aimed to determine economic factors influencing mental health using multiple regression models in ilam province in 2013. methods: in this cross sectional study, 903 families from different cities of ilam were selected using multistage cluster sampling. the...

In this paper, we address issues in improving handsfree speech recognition performance in different car environments using multiple spatially distributed microphones. In previous work, we proposed multiple regression of the log-spectra (MRLS) for estimating the logspectra of speech at a close-talking microphone. In this paper, the idea is extended to nonlinear regressions. Isolated word recogni...

Mixtures of Linear Regressions (MLR) is an important mixture model with many applications. In this model, each observation is generated from one of the several unknown linear regression components, where the identity of the generated component is also unknown. Previous works either assume strong assumptions on the data distribution or have high complexity. This paper proposes a fixed parameter ...

Existence, L-stationarity and linearity of conditional expectations E [ Xk ∣. . . , Xk−2, Xk−1 ] of square integrable random sequences X = (Xk)k∈Z satisfying E [ Xk ∣. . . , Xk−2, Xk−1, Xk+1, Xk+2, . . . ] = ∞ ∑ j=1 bj ( Xk−j + Xk+j ) for a real sequence (bn)n∈N, is examined. The analysis is reliant upon the use of Laurent and Toeplitz operator techniques.

this study aims at providing an explanation of electronic human resource management (e-hrm) and introducing its activities and tools. furthermore, we investigate the effect of various independent variables such as job satisfaction, professional commitment, organizational commitment… on the effectiveness of hrm as a dependent variable. for this purpose, by cluster sampling from iranian hr manage...

Discriminative latent-variable models are typically learned using EM or gradient-based optimization, which suffer from local optima. In this paper, we develop a new computationally efficient and provably consistent estimator for a mixture of linear regressions, a simple instance of a discriminative latentvariable model. Our approach relies on a lowrank linear regression to recover a symmetric t...

Some important practical signals and systems can be modeled by very large linear regression models where it is reasonable that most of the parameters are zero. We give an eecient method to solve this combined estimation and structure determination problem. It is related to Akaike-like criteria, and is based on one LMS lter and thus it is of low complexity. Asymptotic analysis shows that the met...