Results 31 to 40 of about 16,211 (118)
Estimating Major Risk Factor Relativities in Rate Filings Using Generalized Linear Models
International Journal of Financial Studies, 2018 Predictive modeling is a key technique in auto insurance rate-making and the decision-making involved in the review of rate filings. Unlike an approach based on hypothesis testing, the results from predictive modeling not only serve as statistical ...
Shengkun Xie, Anna T. Lawniczak
doaj +1 more source
Predictive models in the brain [PDF]
Connection Science, 2009 Many neuroscientists view prediction as one of the core brain functions. However, there is little consensus as to the exact nature of predictive information and processes, or the neural mechanisms that realise them. This paper reviews a host of neural models believed to underlie the learning and deployment of predictive knowledge in a variety of brain ...
openaire +1 more source
Advances in Neural Information Processing Systems 37Accepted to NeurIPS ...
Ramy Mounir, Sudeep Sarkar
openaire +3 more sources
On the impact of hidden modeling assumptions on living systems- predictive dynamics
Ontare, 2015 ONTARE. REVISTA DE INVESTIGACIÓN DE LA FACULTAD DE INGENIERÍA This paper aims at showing the predictive modeling of living systems, particularly some commonly structured modeling assumptions which simplify the behavior of living systems.
Ivan Mura
doaj +1 more source
A predictive model for endometriosis [PDF]
Human Reproduction, 2005 Aromatase is the key enzyme in the process of estrogen biosynthesis from the precursor androgen. Recently, aromatase has been found to be aberrantly expressed in eutopic endometrium of patients suffering from endometriosis. This finding has prompted speculation about the contribution of this enzyme to the prediction of this disease.We prospectively ...
M M, Wölfler +6 more
openaire +2 more sources
Predictive modeling of emergency cesarean delivery.
PLoS ONE, 2018 ObjectiveTo increase discriminatory accuracy (DA) for emergency cesarean sections (ECSs).Study designWe prospectively collected data on and studied all 6,157 births occurring in 2014 at four public hospitals located in three different autonomous ...
Carlos Campillo-Artero +2 more
doaj +1 more source
Balancing Complex Signals for Robust Predictive Modeling
Sensors, 2021 Robust predictive modeling is the process of creating, validating, and testing models to obtain better prediction outcomes. Datasets usually contain outliers whose trend deviates from the most data points.
Fazal Aman +4 more
doaj +1 more source
Predictive Statistical Models for User Modeling [PDF]
User Modeling and User-Adapted Interaction, 2001 Summary: The limitations of traditional knowledge representation methods for modeling complex human behaviour led to the investigation of statistical models. Predictive statistical models enable the anticipation of certain aspects of human behaviour, such as goals, actions and preferences.
Ingrid Zukerman, David W. Albrecht
openaire +1 more source
ELECTROSTATIC ION THRUSTERS - TOWARDS PREDICTIVE MODELING
Acta Polytechnica, 2015 For satellite missions, thrusters have to be qualified in large vacuum vessels to simulate space environment. One caveat of these experiments is the possible modification of the beam properties due to the interaction of the energetic ions with the ...
Julia Duras +5 more
doaj +1 more source
Acta Crystallographica Section D Structural Biology, 2023 In late 2020, the results of CASP14, the 14th event in a series of competitions to assess the latest developments in computational protein structure-prediction methodology, revealed the giant leap forward that had been made by Google's Deepmind in tackling the prediction problem.
Adam J. Simpkin +14 more
openaire +3 more sources