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 7 of 7 for “"multiple kernel learning"”.
-
Probabilistic multiple kernel learning
The integration of multiple and possibly heterogeneous information sources for an overall decision-making process has been an open and unresolved research direction in computing science since its very beginning. This thesis attempts to address parts of that direction by proposing probabilistic data …
-
lp-Norm Multiple Kernel Learning
… zu erhalten, entwickle ich die lp-norm multiple kernel learning Methodologie, die sich effizienter und effektiver als vorherige Lösungsansätze erweist. Insbesondere leite ich Algorithmen zur Optimierung des Problems her, die wesentlich schneller sind als existierende und es erlauben, …
-
Type-1 diabetes risk prediction using multiple kernel learning
This thesis presents an analysis of multiple kernel learning (MKL) for type-1 diabetes risk prediction. MKL combines different models and representation of data to find a linear combination of these representations of the data. MKL has been successfully been implemented in image detection, splice …
-
Application of Multiple Kernel Learning on Brain Imaging for Mental Illness Characterization
… the spatial correlation in the data. Machine learning algorithms can be used to do a multivariate analysis of fMRI data and predict a condition of interest. In addition, the contribution of the analyzed features (in this case voxels) to the learning task can be estimated. Nonetheless, these …
-
Integrating Multiple Data Views for Improved Malware Analysis
… of my methods is that they all take into account multiple views of malware. Typically, analysis has been performed in either the static domain (e.g. the byte information of the executable) or the dynamic domain (e.g. system call traces). This dissertation develops frameworks that can easily …
-
Human Interaction Recognition with Audio and Visual Cues
… of how to fuse temporal trajectories from multiple modalities for the purpose of recognition. We propose a solution whereby trajectories are modeled as the output of kernel state space models. Then, we developed kernel-based methods for the audio-visual fusion that act at the feature level, …
-
Statistical methods for multi-omic data integration
… on the development of new ways to integrate multiple ’omic datasets in the context of precision medicine. This type of analyses have the potential to help researchers deepen their understanding of biological mechanisms underlying disease. However, integrative studies pose several challenges, …