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.
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Showing 1 to 20 of 28 for “"holdout"”.
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Reliable validation : new perspectives on adaptive data analysis and cross-validation
… we assume a simple validation framework, the holdout set, and address an important question of how many algorithms can be accurately assessed using the same holdout set, in the particular case where these algorithms are chosen adaptively. We do so by first critiquing the initial approaches to …
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Pushing the Limits of Active Data Selection with Gradient Matching
… on their gradient alignment with a small, fixed holdout set. At each training step, GIST computes perexample gradients and selects those that are most aligned with the holdout gradient, thereby guiding model updates toward better generalization. We evaluate GIST on noisy (Clothing1M) and clean …
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The Predictability of International Mutual Funds
… return patterns, and tests those rules on the holdout sample. The empirical findings suggest that smart investors may earn higher riskadjusted returns by following daily dynamic trading strategies. The excess returns earned by investors are statistically and economically significant, …
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Physiology-inspired deep learning for improved heart failure management
… test set), and the remaining records comprise a holdout set (1349) that was used to evaluate the model. We developed an associated unreliability score that identifies when model predictions are likely to be untrustworthy. The model achieves area under the receiver operating characteristic curve …
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Benchmarking Methods For Predicting Phenotype Gene Associations
… validation and the more stringent temporal holdout. We demonstrate that all of the prediction methods considered in our benchmarking analysis have similar performance, with each of the methods outperforming a random predictor.
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Identification of relevant predictors of loan default using the Elastic Net model
… is sub-divided to form a Test sample and two holdout samples: one drawn from the same period as the Test sample; and one drawn from a subsequent period. The sample of non-defaulting firms is constructed using prior probabilities based on the bond default rate for each year. The 278 potential …
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Evaluation of an End-to-End Radiotherapy Treatment Planning Pipeline for Prostate Cancer
… in the literature. Model refinement on a holdout fine-tune dataset was used to verify model contours before quantitative and qualitative evaluation on the holdout test set. Predicted contours resulted in contours comparable in quantitative Dice-Similarity-Coefficient (DSC) and 95% …
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Biodata: A Thing of the Past? Examining the Predictibe Validity and User Reactions of Rationally-Selected, Empirically Keyed Biodata
… a clerical job. Hypotheses were tested using a holdout sample of 168 employees not included in the biodata key development. Results revealed that biodata provided incremental validity in the prediction of core task performance and job attitudes (i.e., organizational commitment and job …
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Predicting Individual Components of the SOFA Score using Multi-Task Learning
… Care IV (MIMIC-IV) dataset. Evaluating on a test holdout set of 10% of our data, we compare performance of our multi-task learning models to individually-trained deep networks that predict each component without parameter sharing. Model performance suggests that there is a small advantage to …
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Decoding team performance in a self-organizing collaboration network using community structure
… and calculated a predictor statistic. Using holdout validation, I test and compare the merits of the different community detection methods and find that the Cosine Similarity in conjunction with spectral methods yields the best performance and provides an average accuracy of 57% when …
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A comparison of neural network and regression models for Navy retention modeling
… same set of 17 variables and were tested using a holdout sample of 100 observations. The neural network model was found to be comparable to the logistic regression model as a predictor, but deficient as a policy analysis model. The second neural network model was constructed using the same data …
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Short-term traffic forecasting for a smart satellite communications system
… design to find optimal model settings. During a holdout period, the mean absolute percentage error using a 15-minute lag was 10.7% with a standard deviation of 2.6% over a month of forecasting. Networks using a GRU layer and tuned with Random Search had the best average performance with an error …
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Assessing the Role of Clusters Derived from Large Sequence Similarity Networks for Gene Function Predictions
… path method. We evaluate our method on four holdout datasets using CAFA evaluation metrics. Our results suggest that clustering significantly reduces the time and memory requirements, with a marginal impact on predictive power. At lower sequence similarity thresholds, our method outperforms …
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An adaptive agent architecture for exogenous data sales forecasting
… variables. We test the system using the holdout procedure, with a 5-fold cross validation data-splitting approach, and contrast the accuracy of the estimated sales, provided by the system, with sales estimated using a regression approach. We additionally investigate the effectiveness of …
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DECISION FRAMEWORKS AND SYNERGISM IN INVESTMENT MANAGER SELECTION
… 9% improvement in predictive accuracy on holdout tasks, reinforcing the practical and empirical importance of the identified synergy effect.
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GENERAL STRENGTH AND MUSCULAR ENDURANCE: RELATIONSHIP TO V1- AND V2-SKATE SKIING ECONOMY IN COLLEGIATE CROSS-COUNTRY SKIERS
… regression with resampling cross-validation (25 holdout groups) was performed to determine the best predictor of skiing economy. <strong></strong></p> <p><strong>Results </strong>The results of the study found no significant differences between V1- and V2-skate skiing economy VO<sub>2</sub> …
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Investigation of brain ageing in HIV-positive individuals using convolutional neural networks
… We obtain an MAE of 3.54 ± 2.59 years on the holdout CamCAN test set, substantially im proving upon the 6.38 ± 5.30 years MAE achieved without pre-training. We then apply the trained model to the multi-site ENIGMA-HIV testing dataset which we have har monised to remove inter-site variation. …
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Determinants and consequences of trust in online environment
… of moderator/mediator analysis techniques. A holdout sample is utilized to test the validity of the model. Managerial implications for successful Internet strategies, incorporating appropriate usage of different website trust cues for different categories of customers, are presented.
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Fish ecomorphology: predicting habitat preferences of stream fishes from their body shape
… factors influencing classification success of holdout tests and validated using fishes of a second river. Morphology was only partly successful (50%) at predicting membership in habitat guilds. Morphology identified species by shape, i.e., classifying test species into guilds with members of …
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Probability Models for Targeted Borrowing of Information
… allowing refined model-testing using a posterior holdout log-likelihood score (similar to a Bayes factor). In addition to providing improved testing capability, this chapter serves as an introduction to the world of behavioral game theory for statisticians and as an explicitly statistical …
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