Abstract: Unmanned Aerial Systems (UAS) heavily depend on the Global Positioning System (GPS) for navigation. However, the unencrypted civilian GPS signals are subject to different types of threats, ...

Concepts and algorithms of machine learning including version-spaces, decision trees, instance-based learning, networks, evolutionary computation, Bayesian learning and reinforcement learning.

Researchers have presented a new way of doing machine learning that enables semantically related concepts to reinforce each other. So, for instance, an object-recognition algorithm would learn to ...

Instance selection plays a pivotal role in enhancing machine learning by identifying and retaining those data instances that are most informative for the learning process, while discarding ...

Multiple Instance Learning (MIL) is a paradigm within machine learning that addresses the challenge of weakly supervised data, where complete labels for individual instances are not available but ...

Aha, D.W., Kibler, D. and Albert, M.K. (1991) Instance- based learning algorithms. Machine Learning, 6(1), 37-66. ... Research on Personal Credit Risk Assessment Model Based on Instance-Based Transfer ...

Machine learning is also a blanket term covering multiple technologies. ... Bayesian belief networks, k-nearest neighbors, self-organizing maps, case-based reasoning, instance-based learning, ...

Abstract: Unmanned Aerial Systems (UAS) heavily depend on the Global Positioning System (GPS) for navigation. However, the unencrypted civilian GPS signals are subject to different types of threats, ...