In this paper we propose and analyze a Stochastic-Collocation method to solve elliptic Partial Differential Equations with random coefficients and forcing terms (input data of the...
This paper examines high dimensional regression with noise-contaminated input and output data. Goals of such learning problems include optimal prediction with noiseless query poin...
The widespread adoption of mobile electronic devices and the advent of wearable computing has encouraged the development of compact alternatives to the keyboard and mouse. These i...
Previous work shows the possibility of predicting the cache miss rate (CMR) for all inputs of a program. However, most optimization techniques need to know more than the miss rate ...
A two-neural network approach to solving nonlinear optimal control problems is described in this study. This approach called the adaptive critic method consists of one neural netw...