Reinforcement learning is a paradigm under which an agent seeks to improve its policy by making learning updates based on the experiences it gathers through interaction with the en...
Rule induction research implicitly assumes that after producing the rules from a dataset, these rules will be used directly by an expert system or a human user. In real-life appli...
Programs are often structured around the idea that different pieces of code comprise distinct principals, each with a view of its environment. Typical examples include the module...
Steve Zdancewic, Dan Grossman, J. Gregory Morriset...
In this paper, we present a design methodology management system, which assists designers in selecting a suitable design process and invoking the selected sequence of tools on the...
This paper presents a system that uses Genetic Algorithm (GA) to evolve hierarchical pulse sets (i.e., hierarchical duration vs. amplitude matrices) for expressive music performan...