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Filtering by: Creator Kearns, Richard Seng Remove constraint Creator: Kearns, Richard Seng Advisor Dietterich, Thomas G. Remove constraint Advisor: Dietterich, Thomas G. Rights Statement In Copyright Remove constraint Rights Statement: In Copyright

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Understanding and improving error-correcting output coding

Creator:

Kong, Eun Bae

Abstract:

Error-correcting output coding (ECOC) is a method for converting a k-classsupervised learning problem into a large number L of two-class supervised learningproblems and then combining the results of these L evaluations. Previous researchhas shown that ECOC can dramatically improve the classi cation accuracy of supervisedlearning algorithms that learn to classify...

Resource Type:

Dissertation
Simulator-Defined MDP Planning with Applications in Natural Resource Management

Creator:

Alkaee Taleghan, Majid

Abstract:

This work is inspired by problems in natural resource management centered on the challenge of invasive species. Computing optimal management policies for maintaining ecosystem sustainable is challenging. Many ecosystem management problems can be formulated as MDP (Markov Decision Process) planning problems. In a simulator-defined MDP, the Markovian dynamics and rewards...

Resource Type:

Dissertation
Efficient training and feature induction in sequential supervised learning

Creator:

Hao, Guohua

Abstract:

Sequential supervised learning problems arise in many real applications. This dissertation focuses on two important research directions in sequential supervised learning: efficient training and feature induction. In the direction of efficient training, we study the training of conditional random fields (CRFs), which provide a flexible and powerful model for sequential...

Resource Type:

Dissertation
Explanations and Processes to Enable Humans to Assess AI with Respect to Manipulable Properties

Creator:

Dodge, Jonathan E.

Abstract:

Assessing AI systems is difficult. Humans rely on AI systems in increasing ways, both visible and invisible, meaning a variety of stakeholders need a variety of assessment tools (e.g., a professional auditor, a developer, and an end user all have different needs). We posit that it is possible to provide...

Resource Type:

Dissertation

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Academic Affiliation

Electrical Engineering and Computer Science3
Computer Science1

Advisor

Dietterich, Thomas G.[remove]4
Burnett, Margaret M.1

Commencement Year

Commencement Year range begin – Commencement Year range end

Current results range from 1995 to 2022

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Committee Member

Tadepalli, Prasad2
Dilles, John1
Fern, Alan1
Fern, Xiaoli1
Hutchinson, Rebecca1
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Creator

Alkaee Taleghan, Majid1
Dodge, Jonathan E.1
Hao, Guohua1
Kong, Eun Bae1

Date

Date range begin – Date range end

Current results range from 1995 to 2022

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Decade

2020-20291
2010-20191
2000-20091
1990-19991

Degree Field

Computer Science4

Degree Level

Doctoral4

Degree Name

Doctor of Philosophy (Ph.D.)4

Language

English [eng]4

License

All rights reserved4

Non-Academic Affiliation

Oregon State University. Graduate School3

Peer Reviewed

No4

Resource Type

Dissertation4

Rights Statement

In Copyright[remove]4

Subject

Error-correcting codes (Information theory)1
Introduced organisms -- Control -- Decision making1
Introduced organisms -- Control -- Mathematical models1
Introduced organisms -- Control -- Planning1
Markov processes1
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