We demonstrate in this paper how certain forms of rule-based knowledge can be used to prestructure a neural network of normalized basis functions and give a probabilistic interpre...
Effective reuse of Knowledge Bases (KBs) often entails the expensive task of identifying plausible KB-PS (Problem Solver) combinations. We propose a novel technique based on Const...
Tomas Eric Nordlander, Derek H. Sleeman, Ken N. Br...
Capturing knowledge from free-form evaluative texts about an entity is a challenging task. New techniques of feature extraction, polarity determination and strength evaluation hav...
We present a method for transferring knowledge learned in one task to a related task. Our problem solvers employ reinforcement learning to acquire a model for one task. We then tra...
Lisa Torrey, Trevor Walker, Jude W. Shavlik, Richa...
In fuzzy modeling (FM), the quantity and quality of the training set is crucial to properly grasp the behavior of the system being modeled. However, the available data are often n...
Pablo Carmona, Juan Luis Castro, Jose Manuel Zurit...