Two notions of optimality have been explored in previous work on hierarchical reinforcement learning (HRL): hierarchical optimality, or the optimal policy in the space defined by ...
An optimization query asks for one or more data objects that maximize or minimize some function over the data set. We propose a general class of queries, model-based optimization ...
— Implementing a multi-tone (MT) architecture for high-speed backplane electrical links is difficult given the tight power and complexity constraints in this application. This pa...
Amir Amirkhany, Ali-Azam Abbasfar, Vladimir Stojan...
Scaling up document-image classifiers to handle an unlimited variety of document and image types poses serious challenges to conventional trainable classifier technologies. Highly...
Background: Multiple genome alignment is an important problem in bioinformatics. An important subproblem used by many multiple alignment approaches is that of aligning two multipl...