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Found 4 papers, 1 papers with code
Conceptually Diverse Base Model Selection for Meta-Learners in Concept Drifting Data Streams
Our results show that conceptual similarity thresholding has a reduced computational overhead, and yet yields comparable predictive performance to thresholding using predictive performance and MI.
Explaining reputation assessments
Reputation is crucial to enabling human or software agents to select among alternative providers.
The Predictive Context Tree: Predicting Contexts and Interactions
The Predictive Context Tree (PCT) is constructed as a hierarchical classifier, capable of predicting both the future locations that a user will visit and the contexts that a user will be immersed within.
Context Trees: Augmenting Geospatial Trajectories with Context
Summarising user contexts into a single data structure gives easy access to information that would otherwise remain latent, providing the basis for better understanding and predicting the actions and behaviours of individuals and groups.
