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Doctoral
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Machine learning
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Structured gradient boosting
A study of distance-based machine learning algorithms
Learning cost-sensitive diagnostic policies from data
Active learning with committees : an approach to efficient learning in text categoriza...
Activity recognition in desktop environments
Converting English text to speech : a machine learning approach
Exact learning of tree patterns
Methods for cost-sensitive learning
Applying machine learning for prediction, recommendation, and integration
Monte-Carlo planning for probabilistic domains
Learning ranking functions for efficient search
Representations and algorithms for efficient inference in Bayesian networks
Machine learning in engineering : techniques to speed up numerical optimization
Machine learning for improving the quality of citizen science data
Multi-instance multi-label learning : algorithms and applications to bird bioacoustics
New learning modes for sequential decision making
Theoretical and implementation improvements for difference evaluation functions
Integrating learning and search for structured prediction
Personalizing machine learning systems with explanatory debugging
Creating, Understanding and Applying Machine Learning Models of Multiple Species
Improving automated email tagging with implicit feedback
Machine Learning Methods for Computational Sustainability
Robust and Efficient Classification of Videos in the Wild
Parsing with Recurrent Neural Networks
Automated Assembly Planning : From CAD Model to Virtual Assembly Process
Weak-supervision : Probabilistic Models and Inference
Pixel- and Frame-level Video Labeling using Spatial and Temporal Convolutional Networks
Localized Variable Selection with Random Forest
Lamb Wave Mode Decomposition and Its Applications in Structural Health Monitoring
Anomaly Detection: Theory, Explanation and User Feedback
Representationally Robust and Scalable Learning over Relational Databases
Investigating Transcriptional Control of Specialized Gene Expression in Plants
Machine learning for computer architecture design and optimization
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Academic Affiliation
Electrical Engineering and Computer Science
22
Computer Science
7
Mechanical, Industrial, and Manufacturing Engineering
2
Statistics
1
Advisor
Dietterich, Thomas G.
10
Fern, Alan
4
Tadepalli, Prasad
4
Cull, Paul
2
Todorovic, Sinisa
2
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Commencement Year
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Current results range from
1991
to
2023
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Committee Member
Tadepalli, Prasad
10
Fern, Alan
7
Fern, Xiaoli
6
Raich, Raviv
6
Wong, Weng-Keen
5
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Creator
Amoth, Thomas R.
1
Bakiri, Ghulum
1
Bao, Xinlong
1
Bjarnason, Ronald V.
1
Briggs, Forrest
1
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Contributor
Raich, Raviv
1
Date
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Current results range from
1991
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2023
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Decade
2020-2029
2
2010-2019
19
2000-2009
7
1990-1999
5
Degree Field
Computer Science
26
Electrical and Computer Engineering
2
Mechanical Engineering
2
Electrical and Computer Science
1
Molecular and Cellular Biology
1
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Degree Level
Doctoral
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33
Degree Name
Doctor of Philosophy (Ph.D.)
33
File Format
application/pdf
1
Language
English [eng]
33
License
All rights reserved
26
Non-Academic Affiliation
Oregon State University. Graduate School
25
Oregon State University. Center for Genome Research and Biocomputing
1
Peer Reviewed
No
29
Resource Type
Dissertation
33
Rights Statement
In Copyright
25
Copyright Not Evaluated
7
In Copyright - Non-Commercial Use Permitted
1
Subject
Machine learning
[remove]
33
Computer algorithms
3
Birdsongs -- Data processing
2
Computer vision
2
Heuristic algorithms
2
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