Now showing items 1-5 of 5
Choosing the Right Kernel A Meta-Learning Approach to Kernel Selection in Support Vector Machines
In recent years Support Vector Machines (SVM) have gained increasing popularity over other classification algorithms due to their ability to produce a flexible boundary over non-linearly separable datasets. Such an ability ...
A PATTERN RECOGNITION APPROACH TO LEARNING TRACKS OF HEAVY-ION PARTICLES IN TIMEPIX DETECTORS
The rapid development in semiconductor detector technology at CERN has provided the capability to develop an active personal dosimeter for use in space radiation environments. The work reported here is based on the Timepix ...
Security Risk Analysis of Google Play Applications
In this work we determine the security risk posed by Google Play applications to mo- bile device users by using statistical and machine learning techniques. A Google Play application is characterized by its description, a ...
Active and Transfer learning Methods for Computational Histology
Tissue micro-environments of critical interest like tumors, stem-cell niches, and brain tissue surrounding implanted neuroprosthetic devices are complex in structure and harbor complex processes. Understanding events and ...
Automated Lecture Video Indexing With Text Analysis and Machine Learning
Videos recorded during in-class teaching and made accessible online are a versatile resource on par with a textbook and the classroom itself. Nonetheless, the adoption of lecture videos has been limited, in large part due ...