Modern combinational equivalence checking (CEC) engines are complicated programs which are difficult to verify. In this paper we show how a modern CEC engine can be modified to pr...
Satrajit Chatterjee, Alan Mishchenko, Robert K. Br...
Feature selection aims to reduce dimensionality for building comprehensible learning models with good generalization performance. Feature selection algorithms are largely studied ...
This paper presents a novel framework called proto-reinforcement learning (PRL), based on a mathematical model of a proto-value function: these are task-independent basis function...
Hill-climbing search is the most commonly used search algorithm in ILP systems because it permits the generation of theories in short running times. However, a well known drawback...
Generating good, production-quality plans is an essential element in transforming planners from research tools into real-world applications, but one that has been frequently overl...