Searching for "Greedy by Choice." – sorted by Relevance.
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Greedy by Choice
- Greedy by Choice Sergio Greco” Carlo Zaniolo Sumit Ganguly Universit% dells Calabria University
- Cited by 9 (7 self) – Add To MetaCart
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Greedy Algorithms in Datalog with Choice and Negation
- Greedy Algorithms in Datalog with Choice and Negation Sergio Greco Dip. Elettr. Informatica Sist
- Cited by 10 (8 self) – Add To MetaCart
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An Exact Jumper Insertion Algorithm for Antenna Effect Avoidance/Fixing
- of optimal substructures and greedy choices. With these properties, we present an O(V lg V )time exact jumper
- Cited by 6 (3 self) – Add To MetaCart
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Scheduling Algorithms for Dynamic Message Streams with Distance Constraints in TDMA protocol
- -time message streams in a TDMA frame based on different scheduling policies by making greedy choices
- Cited by 3 (1 self) – Add To MetaCart
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An Optimal Jumper Insertion Algorithm for Antenna Avoidance/Fixing on General Routing Trees with Obstacles
- -cutting problem exhibits the properties of optimal substructures and greedy choices. With these properties, we
- Cited by 8 (4 self) – Add To MetaCart
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A Code-Motion Pruning Technique for Global Scheduling
- to exploit parallelism. Most existing methods use greedy choices in such a way that the search space
- Cited by 1 (0 self) – Add To MetaCart
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A constructive Method for Exploiting Code Motions
- or in code generation for ASIPs, most methods use greedy choices in such a way that the search space
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Planarity Testing of Graphs 10.1
- . The diOEculty is to show that the greedy choice used will always nd an embedding, assuming one exists
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Is Nonparametric Learning Practical in Very High Dimensional Spaces?
- in very high dimensional spaces?" Contemporary wisdom states that variable selection and a "greedy" choice
- Cited by 4 (4 self) – Add To MetaCart
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A Constructive Method for Exploiting Code Motion
- or in code generation for ASIPs, most methods use greedy choices in such a way that the search space
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