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AUSAI
2004
Springer
15 years 11 months ago
A Bayesian Metric for Evaluating Machine Learning Algorithms
How to assess the performance of machine learning algorithms is a problem of increasing interest and urgency as the data mining application of myriad algorithms grows. The standard...
Lucas R. Hope, Kevin B. Korb
ATAL
2006
Springer
15 years 10 months ago
Modeling uncertain domains with polyagents
Agent-based modeling is a powerful tool for systems modeling. Instantiating each domain entity with an agent permits us to capture many aspects of system dynamics and interactions...
H. Van Dyke Parunak, Sven Brueckner
GRAPHICSINTERFACE
2008
15 years 7 months ago
Context-controlled flow visualization in augmented reality
A major challenge of novel scientific visualization using Augmented Reality is the accuracy of the user/camera position tracking. Many alternative techniques have been proposed, b...
Mike Eissele, Matthias Kreiser, Thomas Ertl
IFIP12
2008
15 years 7 months ago
P-Prism: A Computationally Efficient Approach to Scaling up Classification Rule Induction
Top Down Induction of Decision Trees (TDIDT) is the most commonly used method of constructing a model from a dataset in the form of classification rules to classify previously unse...
Frederic T. Stahl, Max A. Bramer, Mo Adda
AIPS
1998
15 years 7 months ago
Rationale-Based Monitoring for Planning in Dynamic Environments
We describe a framework for planning in dynamic environments. A central question is how to focus the sensing performed by such a system, so that it responds appropriately to relev...
Manuela M. Veloso, Martha E. Pollack, Michael T. C...