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 15 of 15 for “"Machine Learning Repository"”.
-
Universal Transfer Learning
Our distance measures and learning algorithms are based on powerful, elegant and beautiful ideas from the field of Algorithmic Information Theory. While developing our transfer learning mechanisms we also derive results that are interesting in and of themselves. We also developed practical …
-
Decision tree rule-based feature selection for imbalanced data
… from Santander Bank and two datasets from UCI machine learning repository. The results show that our methods can achieve higher Area Under the Curve (AUC) and F-measure. We also compare them with filter-based feature selection approaches, i.e., Chi-Square and F-statistic. The results show that …
-
An Investigation Into a Hybrid Genetic Programming and Ant Colony Optimization Method for Credit Scoring
… and German datasets, available from the Machine Learning Repository at the University of California, Irvine. The experimental results demonstrate that although all tree techniques yield similar accuracy during testing, on average, the hybrid ACO-GP approach performs better than either GP …
-
classCleaner: A Quantitative Method for Validating Peptide Identification in LC-MS/MS Workflows
… Voting Records data set from the UCI machine learning repository. The later is used to demonstrate that the algorithm is not specific to proteomics.
-
Computational creativity applications in engineering
… system that generates engaging Rube Goldberg Machine designs. We first describe the use of case-based reasoning (CBR) and an existing knowledge base to yield a combinatorial design space for experiments. We then apply automated planning techniques to generate experiment procedures. We further …
-
Towards Personalized Medicine Using Systems Biology And Machine Learning
… technique, based on Support Vector Machines, that is able to automatically identify samples that are dissimilar from the classes used for training. We assessed the performance of this approach both with artificial data and data from the UCI machine learning repository. Moreover, we …
-
An improvement of back propagation algorithm using halley third order optimisation method for classification problems
… a robust algorithm for different connectionist learning problems which commonly available for any functional induction that provides a computationally efficient method. This algorithm utilises first order optimisation method namely Gradient Descent (GD) method which attempts to minimise the …
-
Adaptive function modal learning neural networks
Modal learning method is a neural network learning term that refers to a single neural network which combines with more than one mode of learning. It aims to achieve more powerful learning results than a neural network combines with only one single mode of learning. This thesis introduces a novel …
-
Gini Covariance Matrix and its Affine Equivariant Version
… Gini-based PCA to two real data sets from UCI machine learning repository. Relying on some graphical and numerical summaries, Gini-based PCA demonstrates its competitive performance. </p>
-
Machine Learning Algorithms and Applications in Health Care
There have been many recent advances in machine learning, resulting in models which have had major impact in a variety of disciplines. Some of the best performing models are black boxes, which are not directly interpretable by humans. However, in some applications such as health care it is vital to …
-
Criminal data analysis based on low rank sparse representation
… or even overlapping subspaces. BOTH UCI Machine Learning Repository, and crime database are the best to find and compare the best subspace clustering algorithm that fit for high dimensional space data. We used many Open-Source Machine Learning Frameworks and Tools for both employ our …
-
Interpretation, Identification and Reuse of Models. Theory and algorithms with applications in predictive toxicology.
… to two standard benchmark datasets from the UCI machine learning repository shows a great potential of this methodology. The algorithm for calculating feature contributions has been implemented and is available as an R package called rfFC.
-
Interpretation, Identification and Reuse of Models. Theory and algorithms with applications in predictive toxicology.
… to two standard benchmark datasets from the UCI machine learning repository shows a great potential of this methodology. The algorithm for calculating feature contributions has been implemented and is available as an R package called rfFC.
-
Design of robust ultra-low power platform for in-silicon machine learning
"The rapid development of machine learning plays a key role in enabling next generation computing systems with enhanced intelligence. Present day machine learning systems adopt an ""intelligence in the cloud"" paradigm, resulting in heavy energy cost despite state-of-the-art performance. It is …
-
Incremental learning for large-scale stream data and its application to cybersecurity
… As many up-to-date data are used during the learning, the detection system would become more robust to the latest strategy of the cybercriminal. Therefore, the scenario mentioned above can be avoided by assisting the user with important information at the user-end such as malicious spam email …