Index Catalog // ScholarsArchive@OSU

Designing and understanding information retrieval systems using collaborative filtering in an academic library environment

Creator:: Jung, Seikyung
Abstract:: Accessing information on the Web has become ingrained into our daily lives, and we seek information from many different sources, including conference and journal publications, personal web pages, and others. Increasingly, web-based information retrieval systems such as web-based search engines, library on-line catalog systems, and subscription-based federated search systems are...
Resource Type:: Dissertation

Reinforcement learning for job-shop scheduling

Creator:: Zhang, Wei, 1960-
Resource Type:: Dissertation
Full Text:: thesis.dvi AN ABSTRACT OF THE DISSERTATION OF Wei Zhang for the degree

Nanoparticle-assisted diffusion brazing of metal microchannel arrays : nanoparticle synthesis, deposition, and characterization

Creator:: Eluri, Ravindranadh T.
Abstract:: Microchannel process technology (MPT) offers several advantages to the field of nanomanufacturing: 1) improved process control over very short time intervals owing to shorter diffusional distances; and 2) reduced reactor size due to high surface area to volume ratios and enhanced heat and mass transfer. The objective of this thesis...
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

Topics in toroidal interconnection networks

Creator:: Broeg, Robert Richard
Resource Type:: Dissertation

Machine learning for improving the quality of citizen science data

Creator:: Yu, Jun
Abstract:: Citizen Science is a paradigm in which volunteers from the general public participate in scientific studies, often by performing data collection. This paradigm is especially useful if the scope of the study is too broad to be performed by a limited number of trained scientists. Although citizen scientists can contribute...
Resource Type:: Dissertation
Full Text:: Science Data AN ABSTRACT OF THE DISSERTATION OF Jun Yu for the degree of Doctor of Philosophy in

Parsing with Recurrent Neural Networks

Creator:: Cross, James Henry, III
Abstract:: Machine learning models for natural language processing have traditionally relied on large numbers of discrete features, built up from atomic categories such as word forms and part-of-speech labels, which are considered completely distinct from each other. Recently however, the advent of dense feature representations coupled with deep learning techniques has...
Resource Type:: Dissertation
Full Text:: . Statistical predictive parsing, the focus of this research, is a classic problem in su- pervised machine

Object Tracking-by-Segmentation in Videos

Creator:: Chen, Sheng
Abstract:: This thesis focuses on the problem of object tracking. Given a video, the general objective of tracking is to track the location over time of one or more targets in the image sequence. This is a very challenging task as algorithms need to deal with problems such as appearance variations,...
Resource Type:: Dissertation

Learning with Partial Supervision for Clustering and Classification

Creator:: Pei, Yuanli
Abstract:: In the field of machine learning, clustering and classification are two fundamental tasks. Traditionally, clustering is an unsupervised method, where no supervision about the data is available for learning; classification is a supervised task, where fully-labeled data are collected for training a classifier. In some scenarios, however, we may not...
Resource Type:: Dissertation

Adaptive Multiagent Traffic Management for Autonomous Robotic Systems

Creator:: Rebhuhn, Carrie
Abstract:: There is growing commercial interest in the use of unmanned aerial vehicles (UAVs) in urban environments, specifically for package delivery applications. However, the size, complexity and sheer numbers of expected UAVs makes conventional air traffic management that relies on human air traffic controllers infeasible. To enable UAVs to safely and...
Resource Type:: Dissertation

ScholarsArchive@OSU

Designing and understanding information retrieval systems using collaborative filtering in an academic library environment

Reinforcement learning for job-shop scheduling

Nanoparticle-assisted diffusion brazing of metal microchannel arrays : nanoparticle synthesis, deposition, and characterization

Resource placement, data rearrangement, and Hamiltonian cycles in torus networks

Topics in toroidal interconnection networks

Machine learning for improving the quality of citizen science data

Parsing with Recurrent Neural Networks

Object Tracking-by-Segmentation in Videos

Learning with Partial Supervision for Clustering and Classification

Adaptive Multiagent Traffic Management for Autonomous Robotic Systems

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