Reinforcement learning models generally assume that a stimulus is presented that allows a learner to unambiguously identify the state of nature, and the reward received is drawn f...
Tobias Larsen, David S. Leslie, Edmund J. Collins,...
Domain-specific languages offer high expressive power foa particular problem domain, abstracting over the accidental complexity associated with traditional software development. ...
Background: Although many RNA molecules contain pseudoknots, computational prediction of pseudoknotted RNA structure is still in its infancy due to high running time and space con...
As sensor network technologies become more mature, they are increasingly being applied to a wide variety of applications, ranging from agricultural sensing to cattle, oceanic and ...
Vladimir Dyo, Stephen A. Ellwood, David W. Macdona...
Abstract. Explicit state methods have proven useful in verifying safetycritical systems containing concurrent processes that run asynchronously and communicate. Such methods consis...