BACKGROUND Currently, vaginal examination is the gold standard for assessment of labor progress. The World Health Organization emphasizes that the number of vaginal examinations should be limited where it is necessary. OBJECTIVES Therefore, this study aimed to determine the diagnostic accuracy of purple line in the prediction of labor progress. PATIENTS AND METHODS In this cross-sectional s...

To alleviate the high cost of main-memory accesses, computer architects have proposed various speculation mechanisms, including load-value prediction. A load-value predictor guesses the result of load instructions, thus allowing dependent instructions to execute without having to wait for the memory access to complete. Unfortunately, costly mispredictions hinder the true potential of load-value...

Various methods for value prediction have been proposed to overcome the limits imposed by data dependencies within programs. Using a value prediction scheme, an instruction's computed value is predicted during its fetch stage and forwarded to all dependent instructions to exploit parallelism. Value prediction schemes have focused on predicting the values generated by an instruction based on a l...

The evolving ease and efficiency in accessing large amounts of data presents an opportunity to execute prediction tasks based on this data (Hunt, Marin, & Stone 1964). Research in learning-from-example has addressed this opportunity with algorithms that induce either decision structures (ID3) or classification rules (AQ15). Lazy learning research on the other hand, delay the model construction ...

OBJECTIVE To determine the predictive accuracy of the combined panels of serum human tissue kallikreins (hKs) and CA-125 for the detection of epithelial ovarian cancer. METHODS Serum specimens collected from 5 Indonesian centers and 1 Vietnamese center were analyzed for CA-125, hK6, and hK10 levels. A total of 375 specimens from patients presenting with ovarian tumors, which include 156 benig...

This paper proposes a robust semiparametric bootstrap method to estimate predictive distributions of GARCH-type models. The method is based on a robust estimation of parametric GARCH models and a robustified resampling scheme for GARCH residuals that controls bootstrap instability due to outlying observations. A Monte Carlo simulation shows that our robust method provides more accurate VaR fore...

In engineering application heuristics are widely used for discrete optimization tasks. We report two cases (in Dense Wavelength Division Multiplexing and High Level Synthesis), where a recent “intelligent” heuristic (STAGE) performs excellently by learning a value-function of the states. We have found that if a global structure of local minima is found by the function approximator then search t...

Return value prediction (RVP) is a technique for guessing the return value from a function before it actually completes, enabling a number of program optimizations and analyses. However, despite the apparent usefulness, RVP and value prediction in general have seen limited uptake in practice. Hardware proposals have been successful in terms of speed and prediction accuracy, but the cost of dedi...