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Filtering by: Committee Member Saletore, Vikram Remove constraint Committee Member: Saletore, Vikram Degree Field Computer Science Remove constraint Degree Field: Computer Science

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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
Embeddings in parallel systems

Creator:

Kwon, Younggeun

Resource Type:

Dissertation
A study of model-based average reward reinforcement learning

Creator:

Ok, DoKyeong

Abstract:

Reinforcement Learning (RL) is the study of learning agents that improve their performance from rewards and punishments. Most reinforcement learning methods optimize the discounted total reward received by an agent, while, in many domains, the natural criterion is to optimize the average reward per time step. In this thesis, we...

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
Design of efficient constant weight codes

Creator:

Tallini, Luca

Abstract:

In a constant weight code, each code word contains a constant number of 1's. If this number is equal to half the length of the code word then the code is called balanced. These codes find many applications in computer and communication systems noise reduction in VLSI systems, fault masking...

Resource Type:

Dissertation
On resource placements and fault-tolerant broadcasting in toroidal networks

Creator:

AlMohammad, Bader Fahed AlBedaiwi

Abstract:

Parallel computers are classified into: Multiprocessors, and multicomputers. A multiprocessor system usually has a shared memory through which its processors can communicate. On the other hand, the processors of a multicomputer system communicate by message passing through an interconnection network. A widely used class of interconnection networks is the toroidal...

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Dissertation

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Academic Affiliation

Computer Science6

Advisor

Bose, Bella4
d'ambrosio, Bruce1
Tadepalli, Prasad1

Commencement Year

Commencement Year range begin – Commencement Year range end

Current results range from 1993 to 1998

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Committee Member

Saletore, Vikram[remove]6
Budd, Timothy2
Cull, Paul2
Tadepalli, Prasad2
Bolt, John1
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Creator

Almohammad, Bader Fahed Albedaiwi1
Bae, Myung Mun1
Kwon, Younggeun1
Li, Zhaoyu1
Ok, Dokyeong1
more Creators »

Date

Date range begin – Date range end

Current results range from 1993 to 1997

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Decade

1990-19996

Degree Field

Computer Science[remove]6

Degree Level

Doctoral6

Degree Name

Doctor of Philosophy (Ph.D.)6

Language

English [eng]6

Non-Academic Affiliation

Oregon State University. Graduate School6

Peer Reviewed

No6

Resource Type

Dissertation6

Rights Statement

Copyright Not Evaluated6

Subject

Parallel processing (Electronic computers)3
Algorithms1
Artificial intelligence1
Coding theory1
Electronic data processing -- Distributed processing1
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