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Filtering by: Committee Member Saletore, Vikram Committee Member Tadepalli, Prasad

A factoring approach for probabilistic inference in belief networks

Creator:

Li, Zhaoyu

Abstract:

Reasoning about any realistic domain always involves a degree of uncertainty. Probabilistic inference in belief networks is one effective way of reasoning under uncertainty. Efficiency is critical in applying this technique, and many researchers have been working on this topic. This thesis is the report of our research in this...

Resource Type:

Dissertation
Resource placement, data rearrangement, and Hamiltonian cycles in torus networks

Creator:

Bae, Myung Mun

Abstract:

Many parallel machines, both commercial and experimental, have been/are being designed with toroidal interconnection networks. For a given number of nodes, the torus has a relatively larger diameter, but better cost/performance tradeoffs, such as higher channel bandwidth, and lower node degree, when compared to the hypercube. Thus, the torus is...

Resource Type:

Dissertation