Most standard learning algorithms, such as Logistic Regression (LR) and the Support Vector Machine (SVM), are designed to deal with i.i.d. (independent and identically distributed...
Chi-Hoon Lee, Matthew R. G. Brown, Russell Greiner...
Probabilistic modeling has been a dominant approach in Machine Learning research. As the field evolves, the problems of interest become increasingly challenging and complex. Makin...
Ming-Wei Chang, Lev-Arie Ratinov, Nicholas Rizzolo...
Kimberley enables rapid software provisioning of fixed infrastructure for transient use by a mobile device. It uses virtual machine (VM) technology, but avoids the performance cha...
Adam Wolbach, Jan Harkes, Srinivas Chellappa, Maha...
As computing capabilities of embedded devices increase, services such as Internet and multimedia are comportably supported by such devices. Users may demand for migrating services...
Two discrete-event simulations are developed to assess the feasibility of improving the delivery process of reinforced concrete structures. The simulations represent the resource ...
John-Michael Wong, Kristen Parrish, Iris D. Tommel...