Submitted: May 21, 2013; Accepted: Jun 30, 2013; Published: Jul 20, 2013 Abstract: This study examines the impact of IMF programs on the inflation output trade off by using the time series data of Pakistan from the period 1973 to 2010. Results of cointegration approach found the long run relationship among variables. Moreover, results of binary logistic regression model shows that IMF loans do ...

Logistic regression is presumably the most popular representative of probabilistic discriminative classifiers. In this paper, a kernel variant of logistic regression is introduced as an iteratively re-weighted least-squares algorithm in kernel-induced feature spaces. This formulation allows us to apply highly efficient approximation methods that are capable of dealing with large-scale problems....

For many neurological disorders, prediction of disease state is an important clinical aim. Neuroimaging provides detailed information about brain structure and function from which such predictions may be statistically derived. A multinomial logit model with Gaussian process priors is proposed to: (i) predict disease state based on whole-brain neuroimaging data and (ii) analyze the relative info...

Simulation of quantum matters is a significant application computers. In contrast to the unitary operation which can be realized naturally on computer, implementation nonunitary operation, widely used in classical approaches, needs special designing. Here, by Grover's algorithm, we extend probabilistic method implementing and show that it promote success probability without fidelity decreasing....

Abstract Quantum technology allows for unparalleled levels of data and software protection. Probabilistic one-time programs harness these capabilities quantum-assisted classical computations by encoding in small quantum states resulting computer that can be used only once. Such self-destructing facilitate a variety applications reaching from distribution to delegation signature authority. Where...