abstract research and development (r&d;) spending plays a major role in innovation, raising productivity and increasing economic growth. the purpose of this paper is to investigate the impact of r&d; spending on growth and total factor productivity (tfp) in iran's agricultural sector. we estimate growth and productivity models using auto-regressive distributed lag (ardl) approach and data over ...

This paper is proposed of determining the gender through fingerprints.Finger prints verification is one of the most reliable personal identification method and it plays a very important role in forensic application like criminal investigation. Finger prints has been used as a biometric for the gender identification because of its unique nature and do not change throughout the life of an individ...

We introduce an efficient parallel implementation of a Kernel Ridge Regression solver, based on the Gaussian Belief Propagation algorithm (GaBP). Our approach can be easily used in Peer-to-Peer and grid environments, where there is no central authority that allocates work. Empirically, our solver has high accuracy in solving classification problems. We have tested our distributed implementation...

Matching theory predicts choices on concurrent variable ratio schedules will show maximization via exclusive choice of the richest schedule. Preliminary research has revealed patterns of brand selection data from individual consumers which show that consumer behavior exhibits both matching and maximization. In this paper, we summarize the results of a study of 80 consumers brand selections for ...

The authors construct three financial conditions indexes (FCIs) for Canada based on three approaches: an IS-curve-based model, generalized impulse-response functions, and factor analysis. Each approach is intended to address one or more criticisms of the monetary conditions index (MCI) and existing FCIs. To evaluate their three FCIs, the authors consider five performance criteria: the consisten...

Accuracy of fingerprint recognition system is reliable for correct measurement of fingerprint features. Orientation estimation of fingerprint ridges is playing a vital role in image enhancement, segmentation, classification and recognition. The accurate estimation of ridge orientation improves the performance of minutiae extraction and matching algorithm. The noisy fingerprint does not contain ...

0022-1694/$ see front matter 2012 Elsevier B.V. A doi:10.1016/j.jhydrol.2012.01.035 ⇑ Corresponding author. Tel.: +1 706 202 8193. E-mail addresses: [email protected] (H. Ssegane), Tollner), [email protected] (Y.M. Mo (T.C. Rasmussen), [email protected] (J.F. Dowd). Hydrological flow predictions in ungauged and sparsely gauged watersheds use regionalization or classification of hydrologi...

Longitudinal trends of observations can be estimated using the generalized multivariate analysis of variance (GMANOVA) model proposed by [10]. In the present paper, we consider estimating the trends nonparametrically using known basis functions. Then, as in nonparametric regression, an overfitting problem occurs. [13] showed that the GMANOVA model is equivalent to the varying coefficient model ...

Penalized likelihood methods provide a range of practical modelling tools, including spline smoothing, generalized additive models and variants of ridge regression. Selecting the correct weights for penalties is a critical part of using these methods and in the single penalty case the analyst has several well founded techniques to choose from. However, many modelling problems suggest a formulat...