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  • Methods for cost-sensitive learning

    Creator:
    Margineantu, Dragos D.
    Abstract:
    Many approaches for achieving intelligent behavior of automated (computer) systems involve components that learn from past experience. This dissertation studies computational methods for learning from examples, for classification and for decision making, when the decisions have different non-zero costs associated with them. Many practical applications of learning algorithms, including transaction...
    Resource Type:
    Dissertation
    Full Text:
    provides a confidence interval on the expected cost of a classifier, and BDELTACOST provides a confidence

  • Improving robotic grasping performance using machine learning techniques

    Creator:
    Goins, Alex Keith
    Abstract:
    Robots are being utilized in ever more complex tasks and environments to help humans with difficult or dangerous tasks. However, robotic grasping is still in its infancy and is one of the limiting factors which prevent the deployment of robots in the home and other assisted living scenarios. Traditional methods...
    Resource Type:
    Masters Thesis
    Full Text:
    . . . . . . . . . . . . . . . . . . 47 3.4 GP performance using PCA on different number of grasp metrics: TPR and AUC values

  • Spatial and Temporal Dynamics of Broad-scale Predictive Models : Influences of Scale

    Creator:
    Hooper, Samuel
    Abstract:
    Developing accurate predictive distribution models requires adequately representing relevant spatial and temporal scales, as these scales are ultimately reflective of the relationships between distributions and influential environmental conditions. In this research, we considered both spatial and temporal scale and the influence each has on predicting broad-scale distributions of two disparate...
    Resource Type:
    Masters Thesis
    Full Text:
    Forest Disturbance and Regrowth within the Area of the Northwest Forest Plan.” Remote Sensing of

  • Towards a national map of soil liquefaction susceptibility : modeling with heuristic and geotechnical methods

    Creator:
    Lindsley, Adam E.
    Abstract:
    This study investigates the use of predictive mapping techniques as well as geotechnical criteria in developing a multiregional soil liquefaction model and subsequent maps. The maps were produced using National Cooperative Soil Survey data, in the gSSURGO format, combined with soil liquefaction data gathered from studies, articles, and traditional seismic...
    Resource Type:
    Masters Thesis
    Full Text:
    veritable fountain of geomorphological knowledge, and for giving me the opportunity to work on such a

  • Machine learning for cognitive networks : technology assessment and research challenges

    Creator:
    Oregon State University. Dept. of Computer Science, Dietterich, Thomas Glen, and Langley, Pat
    Abstract:
    The field of machine learning has made major strides over the last 20 years. This document summarizes the major problem formulations that the discipline has studied, then reviews three tasks in cognitive networking and briefly discusses how aspects of those tasks fit these formulations. After this, it discusses challenges for...
    Resource Type:
    Research Paper
    Full Text:
    , implementing, running, and analyzing algorithms that can be run on computers. The discipline draws on ideas