Cross-validation is a useful and generally applicable technique often employed in machine learning, including decision tree induction. An important disadvantage of straightforward...
Abstract-- Policy Gradients with Parameter-based Exploration (PGPE) is a novel model-free reinforcement learning method that alleviates the problem of high-variance gradient estima...
Frank Sehnke, Alex Graves, Christian Osendorfer, J...
The evaluation of Information Visualization (InfoVis) techniques can help to identify specific strengths and weaknesses of these methods. The following article describes the resu...
Markus Rester, Margit Pohl, Sylvia Wiltner, Klaus ...
System-on-Chip (SoC) designs are increasingly becoming more complex. Efficient on-chip communication architectures are critical for achieving desired performance in these systems....
Sudeep Pasricha, Nikil D. Dutt, Mohamed Ben-Romdha...
Abstract. Existing algorithms for regular inference (aka automata learning) allows to infer a finite state machine by observing the output that the machine produces in response to ...