—Local classifiers are sometimes called lazy learners because they do not train a classifier until presented with a test sample. However, such methods are generally not complet...
Eric K. Garcia, Sergey Feldman, Maya R. Gupta, San...
Active learning techniques have gained popularity in reducing human effort to annotate data instances for inducing a classifier. When faced with large quantities of unlabeled dat...
Abstract. Technological advances and increasingly complex and dynamic application behavior argue for revisiting mechanisms that adapt logical cache block size to application charac...
Matthew A. Watkins, Sally A. McKee, Lambert Schael...
We present a qualitative study of 20 American Orthodox Jewish families' use of home automation for religious purposes. These lead users offer insight into real-life, longterm...
Allison Woodruff, Sally Augustin, Brooke E. Foucau...
Particle filtering is an effective sequential Monte Carlo approach to solve the recursive Bayesian filtering problem in non-linear and non-Gaussian systems. The algorithm is base...