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Neuro-Symbolic Spatio-Temporal Reasoning
In this chapter, we view this integration problem from the perspective of Neuro-Symbolic AI.
Allen's Interval Algebra Makes the Difference
Allen's Interval Algebra constitutes a framework for reasoning about temporal information in a qualitative manner.
Semantic Referee: A Neural-Symbolic Framework for Enhancing Geospatial Semantic Segmentation
Understanding why machine learning algorithms may fail is usually the task of the human expert that uses domain knowledge and contextual information to discover systematic shortcomings in either the data or the algorithm.
Exploring Directional Path-Consistency for Solving Constraint Networks
Among the local consistency techniques used for solving constraint networks, path-consistency (PC) has received a great deal of attention.
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