Error propagation is a common problem in NLP. Reinforcement learning explores erroneous states during training and can therefore be more robust when mistakes are made early in a process. In this paper, we apply reinforcement learning to greedy dependency parsing which is known to suffer from error propagation. Reinforcement learning improves accuracy of both labeled and unlabeled dependencies o...

Due to the continuous technology scaling, soft error becomes a major reliability issue at nanoscale technologies. Single or multiple event transients at low levels can result in multiple correlated bit flips at logic or higher abstraction levels. Addressing this correlation is essentialion levels. Addressing this correlation is essential for accurate low-level soft error rate estimation, and mo...

As software architecture is becoming an important asset in the development of software systems, the study of quantitative assessment of software architectures is gaining importance due to its role in assessing their quality. Error propagation between software system components is a quantitative factor that reflects on the reliability of a software product. We introduce a framework for experimen...

Long-time error estimates are abstractly given for a large class of initial value problems without using the traditional concept of \numerical stability". Instead of numerical error propagation, we consider exact error propagation by splitting the error of a numerical initial value problem into local error and propagated global error in a way diierent from the traditional one. The advantage is ...

An iterative solution to the problem of image deconvolution is presented. The previous image estimate is pre-filtered using a stabilizing function that is updated based on current error and noise estimates. Noise propagation from one iteration to the next is reduced by the use of a second, regularizing operator resulting in a hybrid iteration technique. Further, error terms are developed that s...

Abstract A recent study investigated the propagation of error in a velocimetry-based pressure (V-pressure) field reconstruction problem by directly analyzing properties Poisson equation (Pan et al 2016 Meas. Sci. Technol. 27 084012). In present work, we extend these results quantifying effect profile data (shape/structure space) on resultant reconstructed field. We first calculate mode that max...

This paper adopts the stochastic simulation method that pertains to geostatistics, on the basis of simulated DEM realizations with spatial autocorrelation errors, to explore the error propagation mechanism of DEM-DON-DLG under the digital photogrammetry environment. It follows this procedure: first, produce 100 error-disturbed DEMs by means of sequential Gaussian simulation; next, attain 100 re...

In order to evaluate the effect of dropping parts of coefficients in H.264 bit-stream, the distortion aroused by coefficient dropping has to be estimated accurately. In this paper, an efficient method is presented to estimate the distortion of a frame during the error propagation caused by single frame coefficient dropping of H.264 bit-stream. At first, through analyzing the image reconstructio...

The static pull-in instability of beam-type micro-electromechanical systems is theoretically investigated. Two engineering cases including cantilever and double cantilever micro-beam are considered. Considering the mid-plane stretching as the source of the nonlinearity in the beam behavior, a nonlinear size-dependent Euler-Bernoulli beam model is used based on a modified couple stress theory, c...