Support vector machines are a valuable tool for making classifications, but their black-box nature means that they lack the natural explanatory value that many other classifiers po...
David Barbella, Sami Benzaid, Janara M. Christense...
Abstract—Existing solutions for building wireless mesh networks suffer from reduced efficiency. This is due to lack of reliable self-configuration procedures that can dynamical...
Like many purely data-driven machine learning methods, Support Vector Machine (SVM) classifiers are learned exclusively from the evidence presented in the training dataset; thus ...
Ubiquitous application software usually has multiple QoS requirements, such as situationawareness, real-time, and security, which make the application software development complic...
Interfaces based on recognition technologies are used extensively in both the commercial and research worlds. But recognizers are still error-prone, and this results in human perf...
Jennifer Mankoff, Scott E. Hudson, Gregory D. Abow...