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AMAI
2008
Springer
15 years 1 days ago
Bayesian learning of Bayesian networks with informative priors
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...
Nicos Angelopoulos, James Cussens
AIPS
1994
15 years 1 months ago
Control Knowledge to Improve Plan Quality
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...
M. Alicia Pérez, Jaime G. Carbonell
GI
2005
Springer
15 years 5 months ago
Automated Quality Assurance for UML Models
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...
Tilman Seifert, Florian Jug, Günther Rackl
ATAL
2008
Springer
15 years 1 months ago
Autonomous transfer for reinforcement learning
Recent work in transfer learning has succeeded in making reinforcement learning algorithms more efficient by incorporating knowledge from previous tasks. However, such methods typ...
Matthew E. Taylor, Gregory Kuhlmann, Peter Stone
ICDM
2010
IEEE
187views Data Mining» more  ICDM 2010»
14 years 10 months ago
Financial Forecasting with Gompertz Multiple Kernel Learning
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...
Han Qin, Dejing Dou, Yue Fang