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Classifier-dependent feature selection via greedy methods
The purpose of this study is to introduce a new approach to feature ranking for classification tasks, called in what follows greedy feature...
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Finite-time error bounds for Greedy-GQ
Greedy-GQ with linear function approximation, originally proposed in Maei et al. (in: Proceedings of the international conference on machine learning...
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Efficient Greedy Algorithms with Accuracy Guarantees for Combinatorial Restrictions
The effective construction of covering arrays for interaction testing relies on fast, practical algorithms. Such algorithms are needed to directly...
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Greedy optimization of resistance-based graph robustness with global and local edge insertions
The total effective resistance, also called the Kirchhoff index, provides a robustness measure for a graph G . We consider two optimization problems...
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Sample classification by selecting informative genes: a greedy multi-objective simulated annealing approach
Identifying a small subset of informative genes from a gene expression dataset is vital in sample classification. In this process, there are two...
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DG-means: a superior greedy algorithm for clustering distributed data
Clustering divides a set of objects into several classes, where each class is composed of similar objects. Traditional centralized clustering...
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Greedy Heuristic Guided by Lexicographic Excellence
This article deals with a basic greedy algorithm which, element by element, is able to construct a feasible solution to a wide family of...
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Greedy Gray Codes for Dyck Words and Ballot Sequences
We present a simple greedy algorithm for generating Gray codes for Dyck words and fixed-weight Dyck prefixes. Successive strings in our listings...
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Back-and-Forth (BaF): a new greedy algorithm for geometric path planning of unmanned aerial vehicles
The autonomous task success of an unmanned aerial vehiclel (UAV) or its military specialization called the unmanned combat aerial vehicle (UCAV) has...
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Load-Aware Greedy Dynamic CoMP Clustering Mechanism for DPS CoMP in 5G Networks
Cooperative communications offered by the Coordinated Multipoint (CoMP) technique have been introduced and become an important technique in the 5G...
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Improving greedy local search methods by switching the search space
Bayesian networks play a vital role in human understanding of the world. Finding a precise equivalence class of a Bayesian network is an effective...
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Greedy+Max: An Efficient Approximation Algorithm for k-Submodular Knapsack Maximization
This paper studies the problem of maximizing a k-submodular function under a knapsack constraint. A k-submodular function is a generalization of...
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On the convergence of randomized and greedy relaxation schemes for solving nonsingular linear systems of equations
We extend results known for the randomized Gauss-Seidel and the Gauss-Southwell methods for the case of a Hermitian and positive definite matrix to...
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Stability of P2P Networks Under Greedy Peering
Historically, major cryptocurrency networks have relied on random peering choice rules for making connections in their peer-to-peer networks....
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Greedy opposition-based learning for chimp optimization algorithm
The chimp optimization algorithm (ChOA) is a hunting-based model and can be utilized as a set of optimization rules to tackle optimization problems....
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Greedy centroid initialization for federated K-means
We study learning from unlabeled data distributed across clients in a federated fashion where raw data do not leave the corresponding devices. We...
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TGAS-ReID: Efficient architecture search for person re-identification via greedy decisions with topological order
Person Re-Identification (Re-ID) technology is being developed rapidly due to the successful application of deep convolutional neural networks....
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A Constraint-Based Greedy-Local-Global Search for the Warehouse Location Problem
Constraint optimization problems offer a means to obtain a global solution for a given problem. At the same time the promise of finding a global...