We consider the task of acoustic system identification, where the input signal undergoes a memoryless nonlinear transformation before convolving with an unknown linear system. We...
Kernel functions are often cited as a mechanism to encode prior knowledge of a learning task. But it can be difficult to capture prior knowledge effectively. For example, we know ...
In this paper, we identify two main bottlenecks in the functional diagnosis flow and propose new ways to overcome these. Our approach completely eliminates the “Primary Input (P...
Vishnu C. Vimjam, Enamul Amyeen, Ruifeng Guo, Srik...
The method of evolutionary functional testing allows for the automation of testing by transforming test case design into an optimization problem. To this end it is necessary to def...
A new technique for synthesizing totally symmetric Boolean functions is presented that achieves complete robust path delay fault testability. We apply BDDs for the synthesis of sy...