32 results on '"SUBSET selection"'
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2. Sparse Approximation over the Cube
3. Randomized Selection Designs
4. A Hybrid DEIM and Leverage Scores Based Method for CUR Index Selection
5. Finding High-Value Training Data Subset Through Differentiable Convex Programming
6. Multi-parameter Regression of Photovoltaic Systems using Selection of Variables with the Method: Recursive Feature Elimination for Ridge, Lasso and Bayes
7. Self-supervised Multi-task Procedure Learning from Instructional Videos
8. Conformance Checking Approximation Using Subset Selection and Edit Distance
9. Background on Genetic Algorithms
10. Applications of Dynamic Models
11. Linear Optimization
12. A Backward Learning Algorithm in Polynomial Echo State Networks
13. The Impact of Event Log Subset Selection on the Performance of Process Discovery Algorithms
14. Robust Training of Radial Basis Function Neural Networks
15. Dynamic Mutation Based Pareto Optimization for Subset Selection
16. On Finding Maximum Cardinality Subset of Vectors with a Constraint on Normalized Squared Length of Vectors Sum
17. On Complexity of Searching a Subset of Vectors with Shortest Average Under a Cardinality Restriction
18. Subset Selection in Market-Driven Product Development: An Empirical Study
19. Augmented Leverage Score Sampling with Bounds
20. Genetic Algorithms for Subset Selection in Model-Based Clustering
21. Summarization and Search Over Geometric Spaces
22. Evolutionary Influence Maximization in Viral Marketing
23. Niching Methods and Multimodal Optimization Performance
24. Transfer Learning Through Greedy Subset Selection
25. Sampling from Determinantal Point Processes for Scalable Manifold Learning
26. Optimizing Storage Intensive Vision Applications to Device Capacity
27. Generic Postprocessing via Subset Selection for Hypervolume and Epsilon-Indicator
28. Measuring Multimodal Optimization Solution Sets with a View to Multiobjective Techniques
29. Identifying Pareto-based solutions for regression subset selection via a feasible solution algorithm
30. An Empirical Approach That a Two-Stage Procedure is Better Than Bechhofer’s Approach
31. An Optimal Two-Stage Procedure to Select the Best out of a Normal Population
32. Subset Selection in Linear Regression Using Generalized Ridge Estimator
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