[1] Predictability analysis based on the maximum Lyapunov exponent considers infinitesimal perturbations, which are associated with errors in the smallest fastest-evolving scales of motion. However, these errors become irrelevant for the predictability of larger scale motions. In this study we employ the newly developed Finite Size Lyapunov Exponent (FSLE) analysis to assess predictability of a...

Time-predictability of computing is critical for hard real-time and safety-critical systems. However, currently there is no metric available to quantitatively evaluate time-predictability, a feature crucial to the design of time-predictable processors. This paper first proposes the concept of architectural time-predictability, which separates the time variation due to hardware architectural/mic...

Variations in the predictability of a stressor have pronounced effects on the behavioural and physiological effects of stress in rats. It is reasonable to expect that variations in the predictability of husbandry routines thought to be aversive to animals might have similar effects on stress indices. Similarly, variations in the predictability of positive events, of which feeding is an obvious ...

With the great development of intelligent transportation systems (ITS), travel time prediction has attracted the interest of many researchers, and a large number of prediction methods have been developed. However, as an unavoidable topic, the predictability of travel time series is the basic premise for travel time prediction, which has received less attention than the methodology. Based on the...

We construct portfolios of stocks and of bonds that are maximally predictable with respect to a set of ex ante observable economic variables, and show that these levels of predictability are statistically significant, even after controlling for data-snooping biases. We disaggregate the sources for predictability by using several asset groups, including size-sorted and industry-sorted portfolios...

1 On the predictability of seizures 3 1.1 Predictability Terminology made clear . . . . . . . . . . . . . . . 7 1.2 How to Estimate LRD . . . . . . . . . . . . . . . . . . . . . . . . 12 1.3 Seizure Frequency Dataset . . . . . . . . . . . . . . . . . . . . . . 24 1.4 Analysis Estimation of α . . . . . . . . . . . . . . . . . . . . . . 26 1.5 Memory and Predictability of Seizures . . . . . . . ....

The discussion of whether the role information encoded by verbs is anticipatorily used in sentence comprehension apart from the world knowledge in the context has been a while. However, in head-initial languages like English, it is difficult to tell apart the use of lexical information like verbs from that of world knowledge information because roles associated with role fillers are mostly enco...

Several models have been proposed to account for the flash-lag effect. One criterion for evaluating alternative models is to consider the separate effects of motion predictability and flash predictability. We first established that flash predictability has an impact on the size of the perceived spatial offset in the flash-lag illusion. We then examined motion predictability by varying the consi...

This paper presents a PDF-matched modification to Stone’s measure of predictability. The modified measure of predictability is a measure of non-gaussianity too. It is an extent of signal predictability by two different prediction terms. One prediction term is based on a normal gaussian PDF assumption for signal. In contrast, the other one is based on a unit variance supergaussian PDF assumption...

Consider the following question: Given examples of words accepted and rejected by an unknown automaton, is there an algorithm that in a feasible amount of time will learn to predict which words will be accepted by the automaton? We develop a notion of prediction-preserving reducibility, and show that if DFAs are predictable, then so are all languages in logspace. In particular, the predictabili...