Index Catalog // ScholarsArchive@OSU

Activity recognition in desktop environments

Creator:: Shen, Jianqiang
Abstract:: Knowledge workers are struggling in the information flood. There is a growing interest in intelligent desktop environments that help knowledge workers organize their daily life. Intelligent desktop environments allow the desktop user to define a set of “activities” that characterize the user’s desktop work. These environments then attempt to identify...
Resource Type:: Dissertation
Full Text:: AN ABSTRACT OF THE DISSERTATION OF Jianqiang Shen for the

Machine learning for computer architecture design and optimization

Creator:: Penney, Drew
Abstract:: Machine learning applied to computer architecture has rapidly transitioned from a theoretical novelty to being a driving force behind design, control, and simulation in practically all components. These machine-learning-based methodologies are further notable for their scalability to increasingly complex design challenges, which has allowed these methodologies to surpass the prior...
Resource Type:: Dissertation

Toward harnessing user feedback for machine learning

Creator:: Stumpf, Simone, Rajaram, Vidya, Li, Lida, Burnett, Margaret, 1949-, Dietterich, Thomas Glen, Sullivan, Erin, Drummond, Russell, and Herlocker, Jonathan Lee
Abstract:: There has been little research into how end users might be able to communicate advice to machine learning systems. If this resource--the users themselves--could somehow work hand-in-hand with machine learning systems, the accuracy of learning systems could be improved and the users' understanding and trust of the system could improve...
Resource Type:: Technical Report
Full Text:: . 25. Shen, J., Li, L., Dietterich, T. Herlocker, J. A hybrid learning

Interacting meaningfully with machine learning systems : three experiments

Creator:: Oregon State University. Dept. of Computer Science, Stumpf, Simone, Rajaram, Vidya, Li, Lida, Wong, Weng-Keen, Burnett, Margaret, 1949-, Dietterich, Thomas Glen, Sullivan, Erin, and Herlocker, Jonathan Lee
Abstract:: Although machine learning is becoming commonly used in today's software, there has been little research into how end users might interact with machine learning systems, beyond communicating simple "right/wrong" judgments. If the users themselves could somehow work hand-in-hand with machine learning systems, the accuracy of learning systems could be improved...
Resource Type:: Research Paper
Full Text:: Meek 2000; Cohen 1996; Shen et al. 2006), the reported accuracy of these algorithms indicates that

Learning greedy policies for the easy-first framework

Creator:: Xie, Jun
Abstract:: Easy-first, a search-based structured prediction approach, has been applied to many NLP tasks including dependency parsing and coreference resolution. This approach employs a learned greedy policy (action scoring function) to make easy decisions first, which constrains the remaining decisions and makes them easier. This thesis studies the problem of learning...
Resource Type:: Masters Thesis
Full Text:: informally introduced by Shen et al. [36] as a bidirectional labeling scheme for sequence labeling problems

Integrating rich user feedback into intelligent user interfaces

Creator:: Oregon State University. Dept. of Computer Science, Stumpf, Simone, Sullivan, Erin, Fitzhenry, Erin, Oberst, Ian, Wong, Weng-Keen, and Burnett, Margaret, 1949-
Abstract:: The potential for machine learning systems to improve via a mutually beneficial exchange of information with users has yet to be explored in much detail. Previously, we found that users were willing to provide a generous amount of rich feedback to machine learning systems, and that the types of some...
Resource Type:: Research Paper
Full Text:: with ex- tended user feedback. Proc. SIGIR (2006), 413-420. 19. Liu, B. Li, X. Lee, W., Yu, P. Text

Investigating Transcriptional Control of Specialized Gene Expression in Plants

Creator:: Fraser, Valerie N.
Abstract:: Specialized or secondary metabolism is a collection of pathways and small molecules that, while beneficial to an organism, are not strictly necessary for survival. Plants use secondary metabolites to, among other things, attract pollinators, defend against biotic and abiotic stressors, and form symbioses. Natural products from plants have seen an...
Resource Type:: Dissertation
Full Text:: , 2017; Lee et al., 2019). These studies use models ranging from SVMs to Deep Learning with various

Pixel- and Frame-level Video Labeling using Spatial and Temporal Convolutional Networks

Creator:: Lei, Peng
Abstract:: This dissertation addresses the problem of video labeling at both the frame and pixel levels using deep learning. For pixel-level video labeling, we have studied two problems: i) Spatiotemporal video segmentation and ii) Boundary detection and boundary flow estimation. For the problem of spatiotemporal video segmentation, we have developed recurrent...
Resource Type:: Dissertation

Multi-instance multi-label learning : algorithms and applications to bird bioacoustics

Creator:: Briggs, Forrest
Abstract:: We consider the problem of supervised classification of bird species from audio recordings in a real-world acoustic monitoring scenario (i.e. audio data is collected in the field with an omnidirectional microphone, without human supervision). Obtaining better data about bird activity can assist conservation efforts, and improve our understanding of their...
Resource Type:: Dissertation
Full Text:: , 135], and Lee et al. [92] use the following spec- tral peak tracking algorithm: First, the point in

Lamb Wave Mode Decomposition and Its Applications in Structural Health Monitoring

Creator:: Zoubi, Ahmad Bassil
Abstract:: Structural health monitoring (SHM) systems perform automated non-destructive damage detection and characterization for a variety of large structures including civil structures such as bridges and aerospace structures such as aircrafts and space vehicles. The goals of SHM include preventing catastrophic structural failures, increasing reliability, reducing maintenance costs, and increasing the...
Resource Type:: Dissertation

ScholarsArchive@OSU

Activity recognition in desktop environments

Machine learning for computer architecture design and optimization

Toward harnessing user feedback for machine learning

Interacting meaningfully with machine learning systems : three experiments

Learning greedy policies for the easy-first framework

Integrating rich user feedback into intelligent user interfaces

Investigating Transcriptional Control of Specialized Gene Expression in Plants

Pixel- and Frame-level Video Labeling using Spatial and Temporal Convolutional Networks

Multi-instance multi-label learning : algorithms and applications to bird bioacoustics

Lamb Wave Mode Decomposition and Its Applications in Structural Health Monitoring

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