Mathematical Programming Submit manuscript Bubacarr Bah, Jannis Kurtz & Oliver Schaudt 2371 Accesses 6 Citations Explore all metrics Abstract In this article we study the problem of signal recovery for group models. More precisely for a given set of groups, each containing a small subset of ...
following step, a Bat-Inspired Algorithm (BA) was combined withβ−hill climbing (β−HC) as an exploratorylocal search algorithmto improve the exploitation process. Then, the outcomes of the filtering stage were considered while forming the final gene subspace to construct the optimal gene ...
This method is based on the state memory concept in time series, where the mean values of the original time series and its first- and second-order difference MGF sequences are used to construct a periodic function and its extended sequence. The statistical relationship between the periodic ...
Step 1: Construct the strategic objective index system The balanced scorecard (BSC) is applied to translate a strategy into specific and measurable objectives: financial, customer, internal process, learning, and growth [50,51]. This approach has been widely adopted in modeling organizational strategy...
To upgrade one module to a specific newer version: construct the non-upgraded build list and then append the new module’s build list. If a module appears in the list multiple times, keep only the newest version. To downgrade one module to a specific older version: rewind the required ve...
Evolutionary computation (EC) techniques are widely used in feature selection due to their global search capability. However, EC can easily fall into local optima when dealing with feature selection for high-dimensional applications. The top-ranked features are more likely to construct effective ...
Feature subsets are formed when the embedded methods are used to construct the classifier32,33. In the present study, filter methods were employed alongside wrapper and evolutionary methods (Fitness function: precision + SVM), which are briefly outlined below. Filter method Correlation-based ...
to construct the final training datasets. Subsequently, we applied classifiers to these training datasets, ensuring that the classifier used in the model-building process remained consistent with the one employed in feature selection. We used AUPRC to evaluate the performance of the classification model...
Construct class with internal constructor Constructing an HTML with StringBuilder Constructor injection wird issue ResolutionFailedException Constructor on type 'XYZ.Profiler' not found. Content type for a video file ContextSwitchDeadlock occurred continuous processing of SQL Queue from C# Continuously moving...
Generally, using the sample estimates to construct a mean–variance portfolio often leads to undesirable portfolio performance. We propose a novel bi﹍evel programming framework to identify the optimal values of expected return and cardinality, which can be estimated separately or simultaneously. In the...