Results 41 to 50 of about 1,054,958 (169)

Predictive Model Selection

open access: yesJournal of the Royal Statistical Society Series B: Statistical Methodology, 1995
SUMMARY We consider the problem of selecting one model from a large class of plausible models. A predictive Bayesian viewpoint is advocated to avoid the specification of prior probabilities for the candidate models and the detailed interpretation of the parameters in each model.
Laud, Purushottam W., Ibrahim, Joseph G.
openaire   +2 more sources

Immunoinformatics and structural aided approach to develop multi-epitope based subunit vaccine against Mycobacterium tuberculosis

open access: yesScientific Reports
Tuberculosis is a highly contagious disease caused by Mycobacterium tuberculosis (Mtb), which is one of the prominent reasons for the death of millions worldwide.
Guneswar Sethi   +5 more
doaj   +1 more source

A new optimization algotithm with application to nonlinear MPC [PDF]

open access: yesModeling, Identification and Control, 2005
This paper investigates application of SQP optimization algorithm to nonlinear model predictive control. It considers feasible vs. infeasible path methods, sequential vs. simultaneous methods and reduced vs full space methods.
Frode Martinsen   +2 more
doaj   +1 more source

Prediction of catastrophes: An experimental model [PDF]

open access: yesPhysical Review E, 2012
Catastrophes of all kinds can be roughly defined as short duration-large amplitude events following and followed by long periods of "ripening". Major earthquakes surely belong to the class of 'catastrophic' events. Because of the space-time scales involved, an experimental approach is often difficult, not to say impossible, however desirable it could ...
Peters, Randall D.   +2 more
openaire   +3 more sources

Synthesizing benchmarks for predictive modeling [PDF]

open access: yes2017 IEEE/ACM International Symposium on Code Generation and Optimization (CGO), 2017
Predictive modeling using machine learning is an effective method for building compiler heuristics, but there is a shortage of benchmarks. Typical machine learning experiments outside of the compilation field train over thousands or millions of examples.
Cummins, C   +3 more
openaire   +6 more sources

New horizons of microphysiological systems: India forging its path in human-relevant research

open access: yesBiology Open, 2023
Surat Parvatam   +5 more
doaj   +1 more source

Predictive model for segmented poly(urea)

open access: yesEPJ Web of Conferences, 2012
Segmented poly(urea) has been shown to be of significant benefit in protecting vehicles from blast and impact and there have been several experimental studies to determine the mechanisms by which this protective function might occur.
Frankl P.   +3 more
doaj   +1 more source

Predict the model of a camera

open access: yesCoRR, 2020
In this work we address the problem of predicting the model of a camera based on the content of their photographs. We use two set of features, one set consist in properties extracted from a Discrete Wavelet Domain (DWD) obtained by applying a 4 level Fast Wavelet Decomposition of the images, and a second set are Local Binary Patterns (LBP) features ...
openaire   +2 more sources

Early predictive factors in routine clinical practice for rituximab therapy response in patients with rheumatoid arthritis

open access: yesRheumatology
Introduction Identifying early predictive factors of how rheumatoid arthritis (RA) patients respond to rituximab (RTX) treatment is crucial for both individual treatment outcome and the improvement of clinical practice overall.
Evgenija Mihajloska   +9 more
doaj   +1 more source

Clinical and anamnestic factors of epilepsy development and course in children with cerebral palsy

open access: yesЭпилепсия и пароксизмальные состояния
Background. Cerebral palsy (CP) is a high-priority issue in pediatric neurology that develops in 30–67% of cases compared to 0.4–0.8% in general population.
V. P. Zykov   +3 more
doaj   +1 more source

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