Results 11 to 20 of about 16,211 (118)
Continual Sequence Modeling With Predictive Coding
Recurrent neural networks (RNNs) have been proved very successful at modeling sequential data such as language or motions. However, these successes rely on the use of the backpropagation through time (BPTT) algorithm, batch training, and the hypothesis ...
Louis Annabi +3 more
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Prediction models in urology [PDF]
Predicting risk is an inherent feature of clinical practice. How likely is a man with a given PSA level to have prostate cancer? Can lymph node dissection be safely avoided in a patient with testicular cancer? Should chemotherapy be given after cystectomy for bladder cancer?
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Modelling: Predictive yield [PDF]
Farmers would benefit from better long-range weather forecasts. What else can science provide to help them decide what to plant?
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Connectome-Based Predictive Modeling of Creativity Anxiety
While a recent upsurge in the application of neuroimaging methods to creative cognition has yielded encouraging progress toward understanding the neural underpinnings of creativity, the neural basis of barriers to creativity are as yet unexplored.
Zhiting Ren +10 more
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Chromatin is folded into Topologically Associating domains (TADs), with the organization and folding hierarchy of the TADs being highly dynamic. Here the authors develop a parsimonious randomly cross-linked (RCL) polymer model that maps high frequency ...
O. Shukron +3 more
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Predictive Modeling of Hawiza Marsh Eutrophication [PDF]
The term "eutrophic" refers to system rich in nutrients, and hence Eutrophicationmeans nutrient enrichment, particularly by increasing levels of nitrogen andphosphorus [1].
Ali K. Shayyish
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Data-driven predictive modeling of FeCrAl oxidation
FeCrAl alloys are among the most promising candidates for accident-tolerant fuel cladding material in light water nuclear reactors. Despite their high-temperature oxidation resistance in corrosive environments coupled with their hydrothermal corrosion ...
Indranil Roy +9 more
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Modeling program predictability [PDF]
Basic properties of program predictability --- for both values and control --- are defined and studied. We take the view that program predictability originates at certain points during a program's execution, flows through subsequent instructions, and then ends at other points in the program. These key components of predictability:
Yiannakis Sazeides, James E. Smith 0001
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Background: Hepatitis C virus (HCV) infection is an important cause of morbidity and mortality in patients with chronic kidney disease (CKD). The objective of this study was to predict the impact of EBR/GZR on the incidence of liver and kidney related ...
Chizoba Nwankwo +2 more
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Predictive modeling of gene expression regulation
Background In-depth analysis of regulation networks of genes aberrantly expressed in cancer is essential for better understanding tumors and identifying key genes that could be therapeutically targeted.
Chiara Regondi +6 more
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