Logic programs under answer-set semantics constitute an important tool for declarative problem solving. In recent years, two research issues received growing attention. On the one ...
Martin Gebser, Torsten Schaub, Hans Tompits, Stefa...
Stability has been explored to study the performance of learning algorithms in recent years and it has been shown that stability is sufficient for generalization and is sufficient ...
One of the most challenging tasks for uniformed service personnel serving in foreign countries is effective verbal communication with the local population. To remedy this problem,...
Brian A. Weiss, Craig Schlenoff, Greg Sanders, Mic...
Policy gradient (PG) reinforcement learning algorithms have strong (local) convergence guarantees, but their learning performance is typically limited by a large variance in the e...
The article deals with problems of testing implementations of mathematical functions working with floating-point numbers. It considers current standards' requirements to such ...