A dynamic interaction between machine learning and the philosophy of science
Minds and Machines - Machine learning as experimental philosophy of science
Dispositional versus epistemic causality
Minds and Machines
Bounds for the Loss in Probability of Correct Classification Under Model Based Approximation
The Journal of Machine Learning Research
Belief Flow in Assertion Networks
ICCS '07 Proceedings of the 15th international conference on Conceptual Structures: Knowledge Architectures for Smart Applications
Objective Bayesian probabilistic logic
Journal of Algorithms
Expressing Belief Flow in Assertion Networks
Logic, Language, and Computation
Unifying logical and probabilistic reasoning
ECSQARU'05 Proceedings of the 8th European conference on Symbolic and Quantitative Approaches to Reasoning with Uncertainty
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