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Filtering by: Committee Member Tadepalli, Prasad Remove constraint Committee Member: Tadepalli, Prasad Date 2013 Remove constraint Date: 2013 Degree Name Master of Science (M.S.) Remove constraint Degree Name: Master of Science (M.S.)

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Novelty Detection Under the Multi-Instance Multi-Label Framework

Creator:

Lou, Qi

Abstract:

Novelty detection plays an important role in machine learning and signal processing. This project studies novelty detection in a new setting where the data object is represented as a bag of instances and associated with multiple class labels, referred to as multi-instance multi-label (MIML) learning. Contrary to the common assumption...

Resource Type:

Capstone Project
Reinforcement learning-based off-equilibrium incentives to approximate the VCG mechanism

Creator:

Moissinac, Béatrice

Abstract:

Auctions are used to solve resource allocation problem between many agents and many items in real-world settings. Unfortunately, in most cases, it is possible for selfish agents to manipulate the system for their own interest at the expense of the social welfare. Such manipulation can be prevented using the Vickrey-Clarke-Groves...

Resource Type:

Masters Thesis
Physical activity recognition of free-living data using change-point detection algorithms and hidden Markov models

Creator:

Anderson, Michael M.

Abstract:

Physical activity recognition using accelerometer data is a rapidly emerging ﬁeld with many real-world applications. Much of the previous work in this area has assumed that the accelerometer data has already been segmented into pure activities, and the activity recognition task has been to classify these segments. In reality, activity...

Resource Type:

Masters Thesis
Adiabatic Markov Decision Process : convergence of value iteration algorithm

Creator:

Duong, Thai

Abstract:

Markov Decision Process (MDP) is a well-known framework for devising the optimal decision making strategies under uncertainty. Typically, the decision maker assumes a stationary environment which is characterized by a time-invariant transition probability matrix. However, in many real-world scenarios, this assumption is not justified, thus the optimal strategy might not...

Resource Type:

Masters Thesis
Using RUBI to partition agents in air traffic problems with hard constraints and reward shaping

Creator:

Curran, William

Abstract:

Air traffic flow management over the U.S. airpsace is a difficult problem. Current management approaches lead to hundreds of thousands of hours of delay, costing billions of dollars annually. Weather and airport conditions may instigate this delay, but routing decisions balancing delay with congestion contribute significantly to the propagation of...

Resource Type:

Masters Thesis
Active learning of constraints for semi-supervised clustering

Creator:

Xiong, Sicheng

Abstract:

Semi-supervised clustering aims to improve clustering performance by considering user supervision in the form of pairwise constraints. In this paper, we study the active learning problem of selecting pairwise must-link and cannot-link constraints for semisupervised clustering. We consider active learning in an iterative manner where in each iteration queries are...

Resource Type:

Masters Thesis

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Academic Affiliation

Electrical Engineering and Computer Science6

Advisor

Tumer, Kagan2
Fern, Xiaoli Z.1
Nguyen, Thinh P.1
Raich, Raviv1
Wong, Weng Keen1

Commencement Year

Commencement Year range begin – Commencement Year range end

Current results range from 2013 to 2014

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Committee Member

Tadepalli, Prasad[remove]6
Vergara, Hector3
Raich, Raviv2
Bose, Bella1
Fern, Xiaoli1
more Committee Members »

Creator

Anderson, Michael M.1
Curran, William1
Duong, Thai1
Lou, Qi1
Moissinac, Beatrice1
more Creators »

Date

2013[remove]6

Decade

2010-20196

Degree Field

Computer Science5
Electrical and Computer Engineering1

Degree Level

Master's6

Degree Name

Master of Science (M.S.)[remove]6

Language

English [eng]6

License

All rights reserved5

Non-Academic Affiliation

Oregon State University. Graduate School5

Peer Reviewed

No6

Resource Type

Masters Thesis5
Capstone Project1

Rights Statement

In Copyright6

Subject

Reinforcement learning2
Accelerometers -- Data processing1
Air traffic control -- Computer programs1
Auctions -- Mathematical models1
Cluster analysis1
more Subjects »

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