High-dimensional data often contain noisy and redundant features, posing challenges for accurate and efficient feature selection. To address this, a dynamic multitask learning framework is proposed, ...

Links to the paper and GitHub repository related to the demonstration selection topic. Codes for evaluating the demonstration selection algorithm used in the experiments. Please leave issues for any ...

Abstract: When encountering data with high dimensionality and high redundancy between features, we can select the most representative features by feature selection. In this paper, a maximum difference ...

Abstract: The terrain suitable matching area (SMA) selection algorithm is one of the key technologies for underwater terrain-aided inertial navigation to achieve good navigation and positioning ...

Selection is a decision or question. At some point in an algorithm there may need to be a question because the algorithm has reached a step where one or more options are available. Depending on the ...