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Combining Branch Predictors

by Scott Mcfarling , 1993
"... One of the key factors determining computer performance is the degree to which the implementation can take advantage of instruction-level paral-lelism. Perhaps the most critical limit to this parallelism is the presence of conditional branches that determine which instructions need to be executed ne ..."
Abstract - Cited by 629 (0 self) - Add to MetaCart
next. To increase parallelism, several authors have suggested ways of predicting the direction of conditional branches with hardware that uses the history of previous branches. The different proposed predictors take advan-tage of different observed patterns in branch behavior. This paper presents a

Improved prediction of signal peptides -- SignalP 3.0

by Jannick Dyrløv Bendtsen, Henrik Nielsen, Gunnar von Heijne, Søren Brunak - J. MOL. BIOL. , 2004
"... We describe improvements of the currently most popular method for prediction of classically secreted proteins, SignalP. SignalP consists of two different predictors based on neural network and hidden Markov model algorithms, where both components have been updated. Motivated by the idea that the cle ..."
Abstract - Cited by 654 (7 self) - Add to MetaCart
We describe improvements of the currently most popular method for prediction of classically secreted proteins, SignalP. SignalP consists of two different predictors based on neural network and hidden Markov model algorithms, where both components have been updated. Motivated by the idea

Motivational and self-regulated learning components of classroom academic performance

by Paul R. Pintrich, Elisabeth V. De Groot - Journal of Educational Psychology , 1990
"... A correlational study examined relationships between motivational orientation, self-regulated learning, and classroom academic performance for 173 seventh graders from eight science and seven English classes. A self-report measure of student self-efficacy, intrinsic value, test anxiety, self-regulat ..."
Abstract - Cited by 679 (6 self) - Add to MetaCart
-regulation, self-efficacy, and test anxiety emerged as the best predictors of performance. Intrinsic value did not have a direct influence on performance but was strongly related to self-regulation and cognitive strategy use, regardless of prior achievement level. The implications of individual differences

Adult attachment, working models, and relationship quality in dating couples.

by Nancy L Collins , Stephen J Read - Journal of Personality and Social Psychology, , 1990
"... Three studies were conducted to examine the correlates of adult attachment. In Study 1, an 18-item scale to measure adult attachment style dimensions was developed based on Kazan and Shaver's (1987) categorical measure. Factor analyses revealed three dimensions underlying this measure: the e ..."
Abstract - Cited by 405 (12 self) - Add to MetaCart
-sex parent. Dimensions of attachment style were strongly related to how each partner perceived the relationship, although the dimension of attachment that best predicted quality differed for men and women. For women, the extent to which their partner was comfortable with closeness was the best predictor

Multiple Paired Forward and Inverse Models for Motor Control

by D.M. Wolpert, M. Kawato , 1998
"... Humans demonstrate a remarkable ability to generate accurate and appropriate motor behavior under many different and often uncertain environmental conditions. In this paper, we propose a modular approach to such motor learning and control. We review the behavioral evidence and benefits of modularity ..."
Abstract - Cited by 394 (16 self) - Add to MetaCart
Humans demonstrate a remarkable ability to generate accurate and appropriate motor behavior under many different and often uncertain environmental conditions. In this paper, we propose a modular approach to such motor learning and control. We review the behavioral evidence and benefits

Functional Difference Predictors (FDPs): Measuring Meaningful Image Differences

by James A. Ferwerda, Fabio Pellacini
"... In this paper we introduce Functional Difference Predictors (FDPs), a new class of perceptually-based image difference metrics that predict how image errors affect the ability to perform visual tasks using the images. To define the properties of FDPs, we conduct a psychophysical experiment that focu ..."
Abstract - Cited by 7 (2 self) - Add to MetaCart
In this paper we introduce Functional Difference Predictors (FDPs), a new class of perceptually-based image difference metrics that predict how image errors affect the ability to perform visual tasks using the images. To define the properties of FDPs, we conduct a psychophysical experiment

Heterogeneous Beliefs and Routes to Chaos in a Simple Asset Pricing Model

by William A. Brock, Cars H. Hommes , 1998
"... This paper investigates the dynamics in a simple present discounted value asset pricing model with heterogeneous beliefs. Agents choose from a finite set of predictors of future prices of a risky asset and revise their `beliefs' in each period in a boundedly rational way, according to a `fitnes ..."
Abstract - Cited by 385 (27 self) - Add to MetaCart
This paper investigates the dynamics in a simple present discounted value asset pricing model with heterogeneous beliefs. Agents choose from a finite set of predictors of future prices of a risky asset and revise their `beliefs' in each period in a boundedly rational way, according to a

Thin slices of expressive behavior as predictors of interpersonal consequences: A meta-analysis

by Nalini Ambady, Robert Rosenthal - Psychological Bulletin , 1992
"... A meta-analysis was conducted on the accuracy of predictions of various objective outcomes in the areas of social and clinical psychology from short observations of expressive behavior (under 5 min). The overall effect size (/) for the accuracy of predictions for 38 different results was.39. Studies ..."
Abstract - Cited by 320 (16 self) - Add to MetaCart
A meta-analysis was conducted on the accuracy of predictions of various objective outcomes in the areas of social and clinical psychology from short observations of expressive behavior (under 5 min). The overall effect size (/) for the accuracy of predictions for 38 different results was.39

Using the visual differences predictor to improve performance of progressive global illumination computation

by Vladimir Volevich, Karol Myszkowski, Andrei Khodulev, Edward A. Kopylov - ACM Transactions on Graphics , 2000
"... A novel view-independent technique for progressive global illumination computing that uses prediction of visible differences to improve both efficiency and effectiveness of physicallysound lighting solutions has been developed. The technique is a mixture of stochastic (density estimation) and determ ..."
Abstract - Cited by 21 (0 self) - Add to MetaCart
vision captured in the visible differences predictor (VDP) developed by Daly [1993]. The VDP responses were used to support the selection of the best component algorithms from a pool of global illumination solutions, and to enhance the selected algorithms for even better progressive refinement of image

A MODIFIED FORM OF THE CENTRAL DIFFERENCE PREDICTOR SCHEME FOR DAMPED NONLINEAR SYSTEMS

by S. R. Marur, T. Kant , 1992
"... Ahatraet-The well-known central difference predictor method used for the analysis of nonlinear systems, subjected to transient dynamic loads, is modified by incorporating Rayleigh’s damping into the governing incremental equation of motion. The new time-stepping scheme requires a starting algorithm ..."
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Ahatraet-The well-known central difference predictor method used for the analysis of nonlinear systems, subjected to transient dynamic loads, is modified by incorporating Rayleigh’s damping into the governing incremental equation of motion. The new time-stepping scheme requires a starting algorithm
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