Essays about: "overfitting"
Showing result 16 - 20 of 83 essays containing the word overfitting.
-
16. An Industrial Application of Semi-supervised techniques for automatic surface inspection of stainless steel. : Are pseudo-labeling and consistency regularization effective in a real industrial context?
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Recent developments in the field of Semi-Supervised Learning are working to avoid the bottleneck of data labeling. This can be achieved by leveraging unlabeled data to limit the amount of labeled data needed for training deep learning models. READ MORE
-
17. Investigation of Machine Learning Regression Techniques to Predict Critical Heat Flux
University essay from Uppsala universitet/Avdelningen för systemteknikAbstract : A unifying model for Critical Heat Flux (CHF) prediction has been elusive for over 60 years. With the release of the data utilized in the making of the 2006 Groeneveld Lookup table (LUT), by far the largest public CHF database available to date, data-driven predictions on a large variable space can be performed. READ MORE
-
18. Improving Training of Differentiable Neural Computers on Time Series
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Memory Augmented Neural Networks (MANN) is a hot research area within deep learning. One of the most promising MANN is the Differentiable Neural Network (DNC) which is able to learn, in a fully differentiable way, how to represent and store data into an external memory. READ MORE
-
19. Credit Scoring using Machine Learning Approaches
University essay from Mälardalens universitet/Akademin för utbildning, kultur och kommunikationAbstract : This project will explore machine learning approaches that are used in creditscoring. In this study we consider consumer credit scoring instead of corporatecredit scoring and our focus is on methods that are currently used in practiceby banks such as logistic regression and decision trees and also compare theirperformance against machine learning approaches such as support vector machines (SVM), neural networks and random forests. READ MORE
-
20. AUGMENTATION AND CLASSIFICATION OF TIME SERIES FOR FINDING ACL INJURIES
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : This thesis addresses the problem where we want to apply machine learning over a small data set of multivariate time series. A challenge when classifying data is when the data set is small and overfitting is at risk. Augmentation of small data sets might avoid overfitting. READ MORE
