Makespan results for Randomly generated DAGs
The Assouad dimension of randomly generated fractals
... Our results reveal a phenomenon common to each of our models: the Assouad dimension of a randomly generated fractal is generically as big as possible and does not depend on the measure theoretic or ...
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The effect of temporary links in randomly generated networks of constraints
... on randomly generated networks of constraints. Experimental results show that the dynamical solution for the temporary links allows obtaining better results for the majority of classes of ...
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Relating vertex and global graph entropy in randomly generated graphs
... the results are somewhat similar to the regular Shannon entropy variants of these ...the results for both Gilbert and scale-free graphs in Figure ...the results using Shannon entropy, visual ...
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Relating Vertex and Global Graph Entropy in Randomly Generated Graphs
... estimate of the value. Although Equation (25) as a transcendental equation is not directly soluble, we can numerically solve to determine the value of χ for a fixed link probability p at which equality is reached. We ...
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Randomly Generated Triangles whose Vertices are Vertices of Regular Polygons
... triangle randomly generated from the vertices of a regular pentagon or hexagon inscribed in a unit ...these results to indicate the proper form for the corresponding expression involving a regular ...
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Heavy Tailed Distributions Generated by Randomly Sampled Gaussian, Exponential and Power Law Functions
... 5. A Numerical Example A small numerical example is presented to illustrate the connection between the theoretically derived results and possible implications for experimental data. Consider an experiment where ...
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i-TEE – An Image Encryption Algorithm based on Multilevel Encryption using a Randomly Generated Bitmap Image
... the results show that the values are lesser than 20; these values show that the image is encrypted in a better way and assure that the images won’t disclose any information to the intruders while ...
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Large Deviation Results for a Randomly Indexed Branching Process with Applications to Finance and Physics.
... In the previous branching processes, the systems are considered to be closed or isolated be- cause the population only consists of particles generated inside the system and they cannot move in and out of the ...
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Using VMware HA, DRS and vmotion with Exchange 2010 DAGs. Using VMware HA, DRS and vmotion with Exchange 2010 DAGs
... be generated and transmitted by the ...enabled. Results showed that, with jumbo frames enabled for all vmkernel ports and on the vNetwork Distributed Switch, vMotion migrations completed ...
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Railway scheduling reduces the expected project makespan.
... As a test set for assessing the two execution policies described in this paper, we use the well-known PSPLIB set of project network instances (Kolisch & Sprecher, 1996). As the computation times were quite large, we ...
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Testing static analyzers with randomly generated programs
... for generated program size, but several settings do influence average size, such as maximum number of functions, maximum size of arrays, and maximum expression ...shortest generated problematic programs out ...
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Three Prime RSA Algorithm Using Randomly Generated Prime Sequence Cryptosystem
... International Journal of Scientific Research in Computer Science, Engineering and Information Technology CSEIT183613 | Received 01 July 2018 | Accepted 08 July 2018 | July August 2018 [ 3 (6) 48 52 ][.] ...
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Sparse Voxel DAGs
... SVO results in a bijection between paths and voxels; if, and only if, there is a path from the root to a leaf in the SVO, there exists a non-empty voxel at the corresponding ...
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Moxel DAGs: Connecting Material Information to High Resolution Sparse Voxel DAGs
... One of the most promising recent works today has been High Resolution Sparse Voxel DAGs [Kampe et al., 2013]. They present a method which stores binary voxel data orders of magnitude more efficiently than previous ...
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Tricolor DAGs for Machine Translation
... Tricolor DAGs for Machine Translation T r i c o l o r D A G s f o r M a c h i n e T r a n s l a t i o n K o i c h i T a k e d a T o k y o R e s e a r c h L a b o r a t o r y , I B M R e s e a r c h 1[.] ...
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A Gibbs Sampler for Learning DAGs
... In this paper we propose a Gibbs sampler for structure learning of DAGs that amelio- rates key deficiencies in existing samplers. Random-walk Metropolis-Hastings algorithms currently used for structure learning ...
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Parallel Real-Time Scheduling of DAGs
... From [30] Any constrained deadline periodic task set π with total density δsum π, maximum density δmax π, and a non-preemption overhead ρπ is schedulable using non-preemptive global EDF [r] ...
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ParaTimer: A Progress Indicator for MapReduce DAGs
... The results for the second experiment can be found in Figure 10. Here “best guess” was within 4% average error for 1% ParaTimer and within 1.5% for Perfect ParaTimer. As expected, Figure 10, shows the “best guess” ...
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Discourse Dependency Structures as Constrained DAGs
... “sometimes”. The only sound answer consists in stat- ing that there exist two types of discourse relations: the dependency relations are computed with the standard in- terpretation for the first type, and computed with ...
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Large Margin DAGs for Multiclass Classification
... In Section 2, we introduce a new multiclass learning architecture, called the Decision Di- rected Acyclic Graph (DDAG). The DDAG contains nodes, each with an associated 1-v-1 classifier. In Section 3, we present a VC ...
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