Results 11 to 20 of about 1,318,364 (217)
Explain and Predict, and then Predict Again [PDF]
Accepted in the WSDM ...
Zijian Zhang 0006 +2 more
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Predicting Bond Return Predictability [PDF]
This paper provides empirical evidence on predictable time variations in out-of-sample bond return predictability. Bond return predictability is associated with periods of high (low) economic activity (uncertainty), which implies that violations of the expectations hypothesis are state dependent and linked to features of the business cycle. These state
Daniel Borup +3 more
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Prediction of Overoptimistic Predictions [PDF]
Overoptimistic predictions are common in software engineering projects, e.g., the average software project cost overrun is about 30%. This paper examines the use of two popular general tests of optimism (the ASQ and the LOT-R test) to select software engineers that are less likely to provide overoptimistic predictions.
Magne Jørgensen, Bjørn Faugli
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Predicting the accuracy of genomic predictions [PDF]
Abstract Background Mathematical models are needed for the design of breeding programs using genomic prediction. While deterministic models for selection on pedigree-based estimates of breeding values (PEBV) are available, these have not been fully developed for genomic selection, with a key missing component being the ...
Dekkers, Jack C. M. +2 more
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Learning Predictions for Algorithms with Predictions
NeurIPS 2022 camera ...
Mikhail Khodak +3 more
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Predictions on Predictions [PDF]
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
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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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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Predictability and Predictions
This essay describes the author’s lifetime experiences with predictability theory and weather predictions.
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The role of prediction in learned predictiveness.
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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