We demonstrate a means of knowledge discovery through feature extraction that exploits the search history of an optimization run. We regress a symbolic model ensemble from optimiza...
Rapid increase in transistor density and operating frequency has led to the increase in power densities, exhibiting itself as a high temperature profile. The high temperature spots...
Gradient boosting is a flexible machine learning technique that produces accurate predictions by combining many weak learners. In this work, we investigate its use in two applica...
Bin Zhang, Abhinav Sethy, Tara N. Sainath, Bhuvana...
of abstractions a middleware system makes available to applications, they figure prominently in determining the breadth and variety of application integration that the middleware s...
ngly better objective function value until an optimal solution is reached. From an abstract point of view, an augmentation problem is solved in each iteration. That is, given a fea...