Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
Results
Showing 1 to 20 of 428 for “"Cross Validation"”.
-
The validation, cross-validation and double cross-validation of two indices of job satisfaction
Thesis (M.A.)--Michigan State University of Agriculture and Applied Science. Dept. of Psychology, 1955
-
The Parameters of Cross-Validation
Made available in DSpace on 2014-12-08T23:01:44Z (GMT). No. of bitstreams: 1 6808108.pdf: 5353847 bytes, checksum: 5dff1ebe31028dd79ad1068d01bbe007 (MD5) Previous issue date: 1967
-
Model comparison and assessment by cross validation
Cross validation (CV) is widely used for model assessment and comparison. In this thesis, we first review and compare three v-fold CV strategies: best single CV, repeated and averaged CV and double CV. The mean squared errors of the CV strategies in estimating the best predictive performance are …
-
Approximate cross validation for sparse generalized linear models
Cross validation (CV) is an effective yet computationally expensive tool for assessing the out of sample error for many methods in machine learning and statistics. Previous work has shown that methods to approximate CV can be very accurate and computationally cheap, but only for low dimensional …
-
Faster and easier: cross-validation and model robustness checks
… There exist assessment tools, such as cross-validation (CV) and robustness checks, that help us understand exactly how trustworthy our methods are. In both cases (CV and robustness checks), a typical workflow follows the pattern of “change the dataset or method, and then rerun the …
-
Cross-Validation of Data-Driven Correction Reduced Order Modeling
… diffusion coefficient. Furthermore, we perform a cross-validation of the DDC-ROM to investigate whether it can be successful in computational settings that are different from the training regime.
-
Cross-validation of spaceborne radar and ground polarimetric radar observations
There is great potential for spaceborne weather radar to make significant observations of the precipitating medium on global scales. Unlike other instruments, such as light detecting and ranging (lidar) systems that operate in the optical region, and thermatic mapping systems that use short …
-
CROSS VALIDATION METHOD ON WEIGHTED ISOTONIC REGRESSION FOR NONPARAMETRIC REGRESSION FITTING
… selection for nonparametric fitting, a new Cross Validation (CV) method that incorporates the non-decreasing condition is proposed. Furthermore, the simulations are conducted to evaluate the performance of this CV method in comparison with the plug-in bandwidth selection method in the …
-
Reliable validation : new perspectives on adaptive data analysis and cross-validation
Validation refers to the challenge of assessing how well a learning algorithm performs after it has been trained on a given data set. It forms an important step in machine learning, as such assessments are then used to compare and choose between algorithms and provide reasonable approximations of …
-
Feature selection and classification for high-dimensional biological data under cross-validation framework
… predictive classification models. Traditionally, cross-validation methods have been used in order to determine the tuning or threshold parameter for the feature selection. We propose improvements over the methods by adding repeated and nested cross validation techniques. Also, several types of …
-
Optimal weight settings in locally weighted regression: A guidance through cross-validation approach
… of stationary regression coefficients across a study region. The accuracy of LWR largely depends on how a researcher establishes the relationship across locations, which is often constructed using a weight matrix or function. This paper explores the different kernel functions used to …
-
The Cross-Validation of AD/HD Instruments and the Relationship to Neurocognitive and Behavioral Measures
… to the DSM-IV, particularly in terms of the cross-consistency of AD/HD subtype classifications. The findings showed that the AD/HD instruments classified participants differently from the initial, DSM-IV entry diagnosis. Rates of agreement were better for some of the AD/HD instruments than …
-
Cross-validation of new oral reading fluency criteria based on empirical data from Icelandic elmentary students
… the EBC, and results from 2021-2022 were used to cross-validate the fit of the EBC. Overall, there were 396.751 measures, 351.306 measures from 2015-2019, and 129.349 measures from 2021-2022. The cross-validation suggested that the EBC provided a better fit for the student population, a higher …
-
THE DEVELOPMENT AND CROSS-VALIDATION OF RAW ACCELEROMETER SEDENTARY AND PHYSICAL ACTIVITY THRESHOLDS IN UNIVERSITY STUDENTS
… these transparent methods improve comparability across different accelerometers and studies. Currently there is a lack of raw accelerometer thresholds for use in university students. Aim: The primary aim of this study was to calculate and cross-validate accelerometer thresholds to classify PA and …
-
Cross validation of observations from the GPM dual-frequency precipitation radar and dual-polarization S-band ground radars
… through its dual-frequency observations. Ground Validation is one of the most critical aspects of the GPM mission. The best way of doing this is by direct comparison of the space-based observations with well calibrated dual polarization ground radar measurements. Before any direct comparisons can …
-
Cross-Validation Of A Recently Published Equation Predicting Energy Expenditure To Run Or Walk A Mile In Normal Weight And Overweight Adults
… recently published by Loftin, et al. (2010) was cross-validated using 30 subjects consisting of 10 normal weight walkers, 10 overweight walkers, and 10 distance runners. Gender was balanced across sub-groups. Participants walked or ran for 5 minutes at their preferred pace. Preferred walking pace …
-
Recursive methods for statistical prediction with applications
… in calculating the leave-one-out estimates. Two cross validation functions (Kullback-Leibler and least squares cross validation) for estimating the smoothing parameter in the generalized smoothing splines are discussed. The simulation results showed that these two cross validation functions …
Page 1 of 22