This paper presents and evaluates an approach to Bayesian model averaging where the models are Bayesian nets (BNs). Prior distributions are defined using stochastic logic programs...
Generating production-quality plans is an essential element in transforming planners from research tools into real-world applications. However most of the work to date on learning...
Abstract: Model based development, like proposed by the OMG’s Model Driven Arre (MDA), aims to raise the level of abstraction from working on the code to working with models. For...
Recent work in transfer learning has succeeded in making reinforcement learning algorithms more efficient by incorporating knowledge from previous tasks. However, such methods typ...
Financial forecasting is the basis for budgeting activities and estimating future financing needs. Applying machine learning and data mining models to financial forecasting is both...