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Predictions on Predictions [PDF]
Computer, 2019 Predictions are the opposite of hindsight. In a world with a continuous bombardment of new information, it is easy to lose the perspective of where events and technologies are headed. I was asked to write my opinion on the predictions in the seven articles in this issue that discuss where computer technology might be headed.
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Predicting when not to predict
The IEEE Computer Society's 12th Annual International Symposium on Modeling, Analysis, and Simulation of Computer and Telecommunications Systems, 2004. (MASCOTS 2004). Proceedings., 2004 File prefetching based on previous file access patterns has been shown to be an effective means of reducing file system latency by implicitly loading caches with files that are likely to be needed in the near future. Mistaken prefetching requests can be very costly in terms of added performance overheads, including increased latency and bandwidth ...
Brandt, Karl +2 more
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SSRN Electronic Journal, 2013 We introduce the prediction value (PV) as a measure of players' informational importance in probabilistic TU games. The latter combine a standard TU game and a probability distribution over the set of coalitions. Player $i$'s prediction value equals the difference between the conditional expectations of $v(S)$ when $i$ cooperates or not.
Maurice Koster +3 more
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Utility and First Clinical Application of Screening Embryos for Polygenic Disease Risk Reduction
Frontiers in Endocrinology, 2019 For over 2 decades preimplantation genetic testing (PGT) has been in clinical use to reduce the risk of miscarriage and genetic disease in patients with advanced maternal age and risk of transmitting disease.
Nathan R. Treff +18 more
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Improved Gravity Wave Drag to Enhance Precipitation Simulation: A Case Study of Typhoon In-Fa
Atmosphere, 2023 Traditional gravity wave drag parameterizations produce wind stresses that are insensitive to changing horizontal resolution in numerical weather prediction (NWP), partly due to the idealized elliptical assumption. This study employs the modified subgrid-
Kun Liu +5 more
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Development of a tangent linear model (version 1.0) for the High-Order Method Modeling Environment dynamical core [PDF]
Geoscientific Model Development, 2014 We describe development and validation of a tangent linear model for the High-Order Method Modeling Environment, the default dynamical core in the Community Atmosphere Model and the Community Earth System Model that solves a primitive hydrostatic ...
S. Kim, B.-J. Jung, Y. Jo
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The role of prediction in learned predictiveness.
Journal of Experimental Psychology: Animal Learning and Cognition, 2020 Learning permits even relatively uninteresting stimuli to capture attention if they are established as predictors of important outcomes. Associative theories explain this “learned predictiveness” effect by positing that attention is a function of the relative strength of the association between stimuli and outcomes.
Carla J. Eatherington, Mark Haselgrove
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Predictability and Predictions
Atmosphere, 2022 This essay describes the author’s lifetime experiences with predictability theory and weather predictions.
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IEEE Access, 2022 Edge-cloud computing is an efficient approach to address the high latency issue in mobile cloud computing for service provisioning, by placing several computing resources close to end devices. To improve the user satisfaction and the resource efficiency,
Tieliang Gao +5 more
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Predictive Coding Networks for Temporal Prediction
PLOS Computational Biology, 2023 Abstract One of the key problems the brain faces is inferring the state of the world from a sequence of dynamically changing stimuli, and it is not yet clear how the sensory system achieves this task. A well-established computational framework for describing perceptual processes in the brain is provided by the theory of predictive ...
Beren Millidge +4 more
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