2 papers
cs.CL2018
A Concept Specification and Abstraction-based Semantic Representation: Addressing the Barriers to Rule-based Machine Translation
Patrick Connor
Rule-based machine translation is more data efficient than the big data-based machine translation approaches, making it appropriate for languages with low bilingual corpus resource…
cs.AI2013
Avoiding Confusion between Predictors and Inhibitors in Value Function Approximation
Patrick C. Connor, Thomas P. Trappenberg
In reinforcement learning, the goal is to seek rewards and avoid punishments. A simple scalar captures the value of a state or of taking an action, where expected future rewards in…