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Filtering by: Creator Luis Arumí, José Remove constraint Creator: Luis Arumí, José Committee Member Tadepalli, Prasad Remove constraint Committee Member: Tadepalli, Prasad

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Representationally Robust and Scalable Learning over Relational Databases

Creator:

Picado Leiva, Jose Manuel

Abstract:

Learning novel concepts from relational databases is an important problem with applications in several disciplines, such as data management, natural language processing, and bioinformatics. For a learning algorithm to be effective, the input data should be clean and in some desired representation. However, real-world data is usually heterogeneous – the...

Resource Type:

Dissertation

Full Text:

AN ABSTRACT OF THE DISSERTATION OF Jose Manuel Picado Leiva
Topics in toroidal interconnection networks

Creator:

Broeg, Robert Richard

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
A SAT-based planning framework for optimizing resource production

Creator:

Ventura, Christopher

Abstract:

Domain-independent automated planning is concerned with computing a sequence of actions that can transform an initial state into a desired goal state. Resource production domains form an interesting class of such problems, in that they typically require reasoning about concurrent durative-actions with continuous effects while minimizing some cost function. Although...

Resource Type:

Masters Thesis
Investigating Latent State and Uncertainty Representations in Reinforcement Learning

Creator:

Koul, Anurag

Abstract:

Learning latent space representations of high-dimensional world states has been at the core of recent rapid growth in reinforcement learning(RL). At the same time, RL algo- rithms have suffered from ignored uncertainties in the predicted estimates of model-free or model-based methods. In our work, we investigate both of these aspects...

Resource Type:

Dissertation
Computing Resource Usage as a Factor of Student Success

Creator:

Moissinac, Béatrice

Abstract:

Learning Analytics and other branches of Educational Research such as Computing Education Research (CER) implicitly assume that students, especially college students, have no barriers to access learning platforms or software packages. This assumption may be attributed to such pervasive beliefs such as "everyone has a device", or "everyone can access...

Resource Type:

Dissertation
Learning ranking functions for efficient search

Creator:

Xu, Yuehua

Abstract:

This dissertation explores algorithms for learning ranking functions to efficiently solve search problems, with application to automated planning. Specifically, we consider the frameworks of beam search, greedy search, and randomized search, which all aim to maintain tractability at the cost of not guaranteeing completeness nor optimality. Our learning objective for...

Resource Type:

Dissertation

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Academic Affiliation

Electrical Engineering and Computer Science5
Computer Science2

Advisor

Fern, Alan3
Bose, Bella2
Pappas, Robin B.1
Parham Mocelle, Jennifer1
Termehchy, Arash1

Commencement Year

Commencement Year range begin – Commencement Year range end

Current results range from 1996 to 2023

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Committee Member

Tadepalli, Prasad[remove]7
Wong, Weng-Keen2
Bolt, John1
Borradaile, Glencora1
Budd, Tim1
more Committee Members »

Creator

Bae, Myung Mun1
Broeg, Robert Richard1
Koul, Anurag1
Moissinac, Beatrice1
Picado Leiva, Jose Manuel1
more Creators »

Date

Date range begin – Date range end

Current results range from 1995 to 2022

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Decade

2020-20291
2010-20193
2000-20091
1990-19992

Degree Field

Computer Science7

Degree Level

Doctoral6
Master's1

Degree Name

Doctor of Philosophy (Ph.D.)6
Master of Science (M.S.)1

File Format

application/pdf1

Language

English [eng]7

License

All rights reserved5

Non-Academic Affiliation

Oregon State University. Graduate School4

Peer Reviewed

No7

Resource Type

Dissertation6
Masters Thesis1

Rights Statement

In Copyright5
Copyright Not Evaluated2

Subject

Machine learning2
Computer networks1
Heuristic algorithms1
High performance computing1
Linear programming -- Data processing1
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