Foundations of Soft Case-Based Reasoning - GitHub Pages

Four architectures that combine Bayesian networks and case-based reasoning are proposed, and our working hypothesis is that these hybrid systems ...







Combining Case-Based Reasoning and Reinforcement Learning for ...
Abstract. Case Based Reasoning is a feasible approach for recognizing and predicting behavior of agents within the RoboCup domain. Using the.
Learning of Knowledge-Intensive Similarity Measures in Case ...
In this paper we propose a coupling between two knowledge based methods: Case Based Reasoning and Constraint Satisfaction Problem to accelerate.
Combining Case-Based Reasoning and Reinforcement Learning for ...
Our aim is to develop a methodology for analog circuit diagnosis based on improving the well-known fault dictionary techniques by means of adding or adapting ...



Autres Cours:

Knowledge Management and Case-Based Reasoning - AAAI