Index Catalog // ScholarsArchive@OSU

Creator:: Oregon State University. Dept. of Computer Science and Dietterich, Thomas Glen
Abstract:: Summary: Four proposed metrics: [1] average relative reduction in training time (sample size, number of training experiences) [2] jumpstart (initial advantage of transfer algorithm) [3] handicap (how long it takes the no-transfer algorithm to overcome the jumpstart) [4] asymptotic advantage (how much better the transfer learning algorithm does in the...
Resource Type:: Research Paper

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

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

Creator:: Oregon State University. Dept. of Computer Science, Chen, Guoning, Mischaikow, Konstantin Michael, Laramee, Robert S., and Zhang, Eugene
Abstract:: Existing topology-based vector field analysis techniques rely on the ability to extract the individual trajectories such as fixed points, periodic orbits and separatrices which are sensitive to noise and errors introduced by simulation and interpolation. This can make such vector field analysis unsuitable for rigorous interpretations. We advocate the use...
Resource Type:: Research Paper

Creator:: Oregon State University. Dept. of Computer Science, Esch, Gregory, Wonka, Peter, Muller, Pascal, and Zhang, Eugene
Abstract:: This paper addresses the problem of interactively modeling large street networks. We introduce a modeling framework that uses tensor fields to guide the generation of a street graph. A user can interactively edit a street graph by either modifying the underlying tensor field or by changing the graph directly. This...
Resource Type:: Research Paper

Creator:: Oregon State University. Dept. of Computer Science, Chen, Guoning, Mischaikow, Konstantin Michael, Laramee, Robert S., and Zhang, Eugene
Abstract:: Vector field analysis plays a crucial role in many engineering applications, such as weather prediction, tsunami and hurricane study, and airplane and automotive design. Existing vector field analysis techniques focus on individual trajectories such as fixed points, periodic orbits and separatrices which are sensitive to noise and errors introduced by...
Resource Type:: Research Paper

Creator:: Oregon State University. Dept. of Computer Science, Neill, Patrick J., Metoyer, Ronald A., 1971-, and Zhang, Eugene
Abstract:: Fluid simulation on interacting deformable surfaces is a challenging problem that has many applications. In this paper, we present a framework in which artistic as well as physically realistic flows can be generated on surfaces during deformation and collision. Our simulation system provides comprehensive control over the motion and deformation...
Resource Type:: Research Paper

Creator:: Rajaram, Vidya and Oregon State University. Dept. of Computer Science
Resource Type:: Research Paper

Creator:: Oregon State University. Dept. of Computer Science, Stumpf, Simone, Burnett, Margaret, 1949-, Rajaram, Vidya, and Herlocker, Jonathan Lee
Abstract:: If basic assumptions about how knowledge workers conceptualize and use work units are wrong, then any solutions resting on those assumptions are unlikely to be successful since, instead of decreasing costs, they will lead to increasing them. This paper reports on how knowledge workers understand, use and switch between units...
Resource Type:: Research Paper

Creator:: Oregon State University. Dept. of Computer Science, Fern, Xiaoli Z., and Brodley, Carla E.
Abstract:: This paper studies cluster ensembles for high dimensional data clustering. We examine three different approaches to constructing cluster ensembles. To address high dimensionality, we focus on ensemble construction methods that build on two popular dimension reduction techniques, random projection and principal component analysis (PCA). We present evidence showing that ensembles...
Resource Type:: Research Paper

ScholarsArchive@OSU