Index Catalog // ScholarsArchive@OSU

TEEMAL, an adaptive training procedure for a two layer system of linear threshold elements

Creator:: Mueller, Thomas J.
Abstract:: In many practical applications of learning systems to problems of pattern recognition it has been realized and explicitly noted in the literature that linear discriminations are inadequate. On the other hand, it has also been noted that very little is known about the training of non-linear systems. A reasonable compromise...
Resource Type:: Dissertation

A modification of Veto logic for a committee of threshold logic units and the use of 2-class classifiers for function estimation

Creator:: Osborne, Martin
Abstract:: The well-known local adjustment algorithm for training a threshold logic unit, TLU, is extended to a local adjustment algorithm for training a network of TLUs Computer simulations show that the extension is unsatisfactory. A new logic for a committee of TLUs, called modified veto logic, and a local adjustment algorithm...
Resource Type:: Dissertation
Full Text:: , 1974 (Date) Title: A MODIFICATION OF VETO LOGIC FOR A COMMITTEE OF THRESHOLD LOGIC UNITS AND THE USE

Sampling methods and injury thresholds for western spotted cucumber beetle in snap beans

Creator:: Weinzierl, Richard Alan
Resource Type:: Dissertation
Full Text:: Sampling Methods and Injury Thresholds for Western Spotted

Construction of Anomaly Scores and Probabilities using Random Sampling : A New Score, Efficient Computation, and Threshold Selection.

Creator:: Zongo, Kalbi F.
Abstract:: Anomaly detection is the task of identifying observations (points) that differ from the majority of other points, which requires some measure of difference, or distance. Many anomaly detection methods rely on “implicit distance” measures: rather than directly calculating an explicitly defined distance, these approaches quantify a point’s “abnormality” by examining...
Resource Type:: Dissertation
Full Text:: Anomaly Scores and Probabilities using Random Sampling: a New Score, Efficient Computation, and Threshold

New applications and emerging contaminants : developing silicone passive sampling devices for environmental and novel monitoring applications

Creator:: O'Connell, Steven G.
Abstract:: Passive sampling is a popular technology for environmental monitoring, and silicone is an ideal choice for a variety of passive sampling applications. The silicone work described here encompasses laboratory and field studies that demonstrate the use of this polymer in novel environments, for new applications, and for emerging compounds. Unique...
Resource Type:: Dissertation
Full Text:: Silicone Passive Sampling Devices for Environmental and Novel Monitoring

Development of innovative applications for passive sampling devices : monitoring bioavailability, risk from exposure and environmental mixture toxicity

Creator:: Allan, Sarah E.
Abstract:: Chemicals must be bioavailable for there to be a potential for exposure and consequent risk to human or environmental health. Passive sampling devices (PSDs) are used to quantify the time-integrated concentration of bioavailable contaminants. We demonstrate that PSDs can be paired with the zebrafish developmental toxicity bioassay to produce site-specific,...
Resource Type:: Dissertation
Full Text:: Sampling Devices: Monitoring Bioavailability, Risk from Exposure and Environmental Mixture Toxicity

Sampling enhanced measurement systems

Creator:: Agoston, Agoston
Abstract:: The purpose of the thesis is to synthesize the major results of a continuous research effort directed toward new applications of high speed sampling in general and Electrooptic Sampling in particular. Equivalent time sampling of repetitive high speed signals continues to provide significant performance enhancements for present and future generations...
Resource Type:: Dissertation
Full Text:: Sampling enhanced measurement systems AN ABSTRACT OF THE

Developing a basis for characterizing precision of estimates produced from non-probability samples on continuous domains

Creator:: Cooper, Cynthia
Abstract:: This research addresses sample process variance estimation on continuous domains and for non-probability samples in particular. The motivation for the research is a scenario in which a program has collected non-probability samples for which there is interest in characterizing how much an extrapolation to the domain would vary given similarly...
Resource Type:: Dissertation
Full Text:: could represent the response on the domain of interest. This excludes any hot- spot monitoring

On the reconstruction of bandlimited signals from sampled values

Creator:: Dastrange, Nassar
Abstract:: The sampling theorem states that any frequency bandlimited signal can be exactly reconstructed from its sampled values. Different forms of this theorem have been reviewed since 1841 up to the present time. Kramer's generalized sampling theorem has been extended to two dimensions, and the form for higher dimensions can be...
Resource Type:: Dissertation
Full Text:: The sampling theorem states that any frequency bandlimited signal can be exactly reconstructed from

Predicting unit variate values in a finite population

Creator:: Carter, Nancy Jean
Abstract:: The problem of predicting variate values for all individual units in a finite population based on a sample of some of the units is Investigated. Two prediction problems are considered: the one-stage prediction problem where the unit variate values are directly observable for each sample unit, and the two-stage prediction...
Resource Type:: Dissertation
Full Text:: the Predictors 48 6.2. The Sampling Plan For the Survey 50 6.3. Final Results and Conclusions 55 VII

A Bayesian approach to nonresponse in sample surveys

Creator:: Smouse, Evan Paul
Abstract:: A common problem in postal surveys of human populations arises when some of the sampled people fail to respond to the questionnaire. The problem is that the answers provided by the respondents may not be typical of the answers the nonrespondents would provide if these had been solicited more successfully....
Resource Type:: Dissertation
Full Text:: Bayesian Approach 3 1. 3. Nonresponse Problem and Hansen-Hurwitz Sampling 7 1. 4. Previous Approaches 8 1

Optimal inspection policies for a partially observable process with hazardous inspections

Creator:: Chou, Chung-kuang
Abstract:: An inspection model is considered in which inspections are hazardous to the device being monitored. The model is formulated as a partially observable Markov decision process. Previous research has determined the optimal ongoing inspection policies for a previously inspected device. In this thesis, the optimal inspection initiation policies are investigated...
Resource Type:: Dissertation
Full Text:: machine, and the state could be determined only by sampling the item produced. He discussed the sampling

On extension of the generalized sampling theorem

Creator:: Jerri, Abdul J., 1932-
Abstract:: The relation of the sampling theorem, developed by Shannon for Information Theory, to the Whittaker interpolatory functions is investigated and further extensions in this direction are suggested. The theory of the Shannon sampling theorem with its application in Information Theory is reviewed. The Kramer generalization of this theorem is illustrated...
Resource Type:: Dissertation

A Bayesian analysis for economic design of single sampling plans for a sequence of lots

Creator:: Taracena, Fernando L.
Abstract:: A dynamic approach to the Bayesian theory of sampling inspection by attributes for the single sampling case is presented. A model is developed which assumes a sequence of lots of equal known size and lots generated by a process operating in a random manner. The model also assumes constant associated...
Resource Type:: Dissertation
Full Text:: A Bayesian analysis for economic design of single sampling

The design-based Empirical Orthogonal Functions model : an alternative for the analysis of spatio-temporal data

Creator:: Munoz-Hernandez, Breda
Abstract:: Random processes are monitored over space and time by a network of stations distributed across a spatial region. Researchers have developed several analysis techniques to model the random process. Some of them require assumptions on the spatio-temporal variability of the process. An alternative method to analyze spatio-temporal data that does...
Resource Type:: Dissertation
Full Text:: the design-based EOF model accessible to those monitoring programs that did not use a sampling

Estimating absence

Creator:: Kincaid, Thomas M.
Abstract:: The problem addressed is absence of a class of objects in a finite set of objects, which is investigated by considering absence of a species and absence in relation to a threshold. Regarding absence of a species, we demonstrate that the assessed probability of absence of the class of objects...
Resource Type:: Dissertation
Full Text:: absence in relation to a threshold. Regarding absence of a species, we demonstrate that the assessed

Post stratified estimation using a known auxiliary variable

Creator:: Bedier, Mostafa Abdellatif
Abstract:: Post stratification is considered desirable in sample surveys for two reasons - it reduces the mean squared error when averaged over all possible samples, and it reduces the conditional bias when conditioned on stratum sample sizes. The problem studied in this thesis is post stratified estimation of a finite population...
Resource Type:: Dissertation
Full Text:: on simple random sampling in reducing the mean squared error. Finally, there is strong evidence that

The use of an auxiliary variable in optimum stratification

Creator:: Chester, Spencer T.
Abstract:: When stratification is employed to reduce the variance of an estimate of the population mean, and the population does not possess an a priori partitioning, the degree of reduction provided is affected by the method of allocation, by the number of strata, and by the choice of the stratum boundaries....
Resource Type:: Dissertation
Full Text:: the use of simple random sampling. The effect these approximate boundary points have on the choice of

Small sample parameter estimation for forced discrete linear dynamic models

Creator:: Stevens, Donald L.
Abstract:: The problem of estimating the parameters of a forced discrete linear dynamic model is considered. The system model is conceptualized to include the value of the initial state as a parameter. The forces driving the system are partitioned into accessible and inaccessible inputs. Accessible inputs are those that are measured;...
Resource Type:: Dissertation

Analysis of finite population surveys : sample size and testing considerations

Creator:: McDonald, Trent, 1965-
Abstract:: This dissertation concerns two topics in the analysis of finite population surveys: setting sample size and hypothesis testing. The first concerns the a priori determination of the sample size needed to obtain species members. The second concerns testing distributional hypotheses when two equal-size populations are sampled. Setting sample size to...
Resource Type:: Dissertation
Full Text:: ) the acquisition of species members, and (2) the testing of a distributional hy- pothesis when sampling

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