Abstract: We describe a conceptually simple framework for transformation-based learning in hybrid relational domains. The proposed approach is related to hybrid Markov logic and to Gaussian logic framework. We evaluate the approach in three domains and show that it can achieve state-of-the-art performance while using only limited amount of information.
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