Abstract. Approximate Policy Iteration (API) is a reinforcement learning paradigm that is able to solve high-dimensional, continuous control problems. We propose to exploit API for...
Abstract-Wikipedia is an example of the collaborative, semi-structured data sets emerging on the Web. These data sets have large, nonuniform schema that require costly data integra...
Bryan Chan, Leslie Wu, Justin Talbot, Mike Cammara...
Abstract—We investigate the design of declarative, domain-specific languages for constructing interactive visualizations. By separating specification from execution, declarativ...
Abstract. We present DBtk, a toolkit for Directed Bigraphs. DBtk supports a textual language for directed bigraphs, the graphical visualization of bigraphs, the calculation of IPO ...
Abstract. This paper shows that ROC curves, as a method of visualizing classifier performance, are inadequate for the needs of Artificial Intelligence researchers in several sign...