Much of the recent work on dependency parsing has been focused on solving inherent combinatorial problems associated with rich scoring functions. In contrast, we demonstrate that highly expressive scoring functions can be used with substantially simpler inference procedures. Specifically, we introduce a sampling-based parser that can easily handle arbitrary global features. Inspired by SampleRa...

Markov chainMonte Carlo (MCMC)methods are powerful computational tools for analysis of complex statistical problems. However, their computational efficiency is highly dependent on the chosen proposal distribution, which is generally difficult to find. One way to solve this problem is to use adaptiveMCMCalgorithmswhich automatically tune the statistics of a proposal distribution during the MCMC ...

Given the importance of rapid diagnosis and rejection multiple possible diagnoses selection appropriate treatment for Guillain-Barre syndrome in COVID-19 patients, present descriptive cross-sectional study investigated clinical features patients. The statistical population was all patients with referred to Aria Naft private hospitals Ahvaz 2020 2021. data collection tool a

In this paper we investigate the application of perfect simulation, in particular Coupling from The Past (CFTP), to the simulation of random point processes. We give a general formulation of the method of dominated CFTP and apply it to the problem of perfect simulation of general locally stable point processes as equilibrium distributions of spatial birth-and-death processes. We then investigat...

•Common choice is Metropolis-Hastings: W M H i j = { 1/(2dmax) if {i , j } ∈ E 1−di /(2dmax) if i = j 0 otherwise •Rate of convergence is controlled by ρ(W −11T /n). • min{ρ(W −11T /n) : W symmetrical} is a convex problem (SDP). •Optimal matrix yields slow rate O(D2), achieved by W M H . •Lower-bound: Ω(D), where D is graph diameter. •To get fast rates, two approaches have been developed indepe...

large cities and metropolitan areas in developing countries are growing rapidly. these areas grew by attracting all facilities, services and capital of the country. tehran has been the major city and center for decision and policy making in various administrative, political, economic and socialaspects. this political focus has brought economic, social, educational focus that attracted a vast ma...

This article considers Monte Carlo integration under rejection sampling or Metropolis-Hastings sampling. Each algorithm involves accepting or rejecting observations from proposal distributions other than a target distribution. While taking a likelihood approach, we basically treat the sampling scheme as a random design, and define a stratified estimator of the baseline measure. We establish tha...

Since the appearance of Simulated Annealing algorithm it has shown to be an efficient method to solve combinatorial optimization problems such as Boolean Satisfiability problem. New algorithms based on two cycles: one external for temperatures and other internal, named Metropolis, have emerged. These algorithms usually use the sameMarkov chain length in the Metropolis cycle for each temperature...

Background & Objective: The objective of this study was to determine the association between maternal serum concentration PAPP-A and free B-HCG at 11-13(+6) weeks uterine artery pulsatility index (PI) 30-34 with prediction preeclampsia.Materials Methods: This cohort performed on 882 women singleton pregnancies from March 2018 November 2020 university hospital (referred center) in Ahvaz/Khuzesta...