As the issue rate and depth of pipelining of high performance Superscalar processors increase, the importance of an excellent b r a n c h predictor becomes more vital to delivering the potential performance of a wide-issue, deep pipelined microarchitecture. We propose a new dynamic branch predictor (Two-Level Adaptive Branch Prediction) that achieves substantially higher accuracy than any other...

Highways and in particular their pavements are the fundamental components of the road network. They require continuous maintenance since they deteriorate due to changing traffic and environmental conditions. Monitoring methods and efficient pavement management systems are needed for optimizing maintenance operations. Pavement performance prediction models are useful tools for determining the op...

BACKGROUND This randomized controlled trial compared the diagnostic accuracy of the sonographic assessment of cervical length and clinical digital examination of the cervix in the second trimester regarding the prediction of preterm delivery in a low-risk population. METHODS In total, 282 unselected, asymptomatic women with singleton pregnancy randomly underwent sonographic cervical length me...

microRNAs are short RNA fragments that have the capacity of regulating hundreds of target gene expression. Currently, due to lack of high-throughput experimental methods for miRNA target identification, a collection of computational target prediction approaches have been developed. However, these approaches deal with different features or factors are weighted differently resulting in diverse ra...

We study multi-label prediction for structured output sets, a problem that occurs, for example, in object detection in images, secondary structure prediction in computational biology, and graph matching with symmetries. Conventional multilabel classification techniques are typically not applicable in this situation, because they require explicit enumeration of the label set, which is infeasible...

In this paper, we quantify the performance of a novel family of multi-stage Two-Level Adaptive Branch Predictors. In each twolevel predictor, the PHT of a conventional Two-level Adaptive Branch Predictor is replaced by a Prediction Cache. Unlike a PHT, a Prediction Cache saves only relevant branch prediction information. Furthermore, predictions are never based on uninitialised entries and inte...

In this paper, we analyze dynamics of runoff data from actual hydrologic station on the basis of the chaos theory. Through analyzing Characteristics of power spectrum, geometric structure of attractors and calculating Lyapunov index, it confirmed that actual runoff has chaos dynamics behavior. Local prediction model based on chaotic runoff data is inferior for heavy computation load and poor ac...

We study the simplest causal prediction algorithm that uses only conditional independences in purely observational data. A specific pattern of only four conditional independence relations amongst a quadruple of random variables already implies that one of these variables causes another without any confounding. As a consequence, it is possible to predict what would happen under an intervention o...