Many recent studies provide evidence of the challenges experienced by knowledge workers while multi-tasking among several projects and initiatives. Work is often interrupted, and ...
When using the computer, each user has some notion that "these applications are important" at a given point in time. We term this subset of applications that the user va...
Joshua M. Hailpern, Nicholas Jitkoff, Joseph Subid...
Feature selection is used to improve performance of learning algorithms by finding a minimal subset of relevant features. Since the process of feature selection is computationally ...
Mark Last, Abraham Kandel, Oded Maimon, Eugene Ebe...
Experience sampling techniques can be used to study user experiences with products in a natural setting and over time. Nowadays, researchers can use selective sampling to link the ...
d Articles >> Table of Contents >> Abstract VI Brazilian Symposium on Neural Networks (SBRN'00) p. 24 Adaptation of Parameters of BP Algorithm Using Automata Hamid...