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Measures such as the c-statistic and the measures of reclassification do not capture the consequences of implementing a prediction model.
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An interesting application of our framework is enabling an entity to maintain an encrypted database on third party hardware with a similar structure of Netflix's dataset and being able to implement a prediction algorithm with minimum data leakage to the DBMS.
To compare the prediction accuracy of our SVR-based method against a naive supervised learning approach, we implemented a prediction framework based on the nearest neighbor (NN) algorithm.
Secondly, we implemented a prediction of protein sequences based on unigene sequences using ESTScan software http://estscan.sourceforge.net/[ 14] and an SGN Perl script (longest6frame.pl), which simply determines the longest open reading frame and translates it into a protein sequence.
A study is conducted with the aim of developing and implementing a fatigue prediction model for assessing the damage tolerance capabilities of polymer matrix composite structures.
Furthermore, we implement a simple prediction method, where we set p a,s)(t) = p a,s)(t c ) and u s (t) = u s (t c ), i.e., we assume that using the present network state will remain unchanged during whole prediction window.
For target sequence prediction, we implemented a combined target prediction using three common prediction algorithms, miRanda, RNAhybrid and SeedMatch.
This problem can be dealt with by implementing a locally developed risk prediction model that can be updated over time, ideally in an automated way, e.g. by retraining the SVM algorithm or other artificial intelligence learning algorithms such as artificial neural networks by excluding one month of data at the start of the time series analysis and adding the last month's data [ 22].
A three-step process is applicable in order to implement a subsidence-prediction model in the GIS environment.
Profiling such signal patterns allowed to design and implement an AFib prediction algorithm able to early identify a spontaneous fibrillation.
In the end, we implement a planning-based prediction model for a real-world company for expansion of the business interests.
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