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Found 7 papers, 4 papers with code
Learning Automata-Based Complex Event Patterns in Answer Set Programming
Complex Event Recognition and Forecasting (CER/F) techniques attempt to detect, or even forecast ahead of time, event occurrences in streaming input using predefined event patterns.
Artificial Intelligence Empowered Multiple Access for Ultra Reliable and Low Latency THz Wireless Networks
In more detail, a fast and centralized joint user association, radio resource allocation, and blockage avoidance by means of a novel metaheuristic-machine learning framework is documented, that maximizes the THz networks performance, while minimizing the association latency by approximately three orders of magnitude.
Online Learning Probabilistic Event Calculus Theories in Answer Set Programming
Complex Event Recognition (CER) systems detect event occurrences in streaming time-stamped input using predefined event patterns.
The Complex Event Recognition Group
The Complex Event Recognition (CER) group is a research team, affiliated with the National Centre of Scientific Research "Demokritos" in Greece.
Distributed Online Learning of Event Definitions
Logic-based event recognition systems infer occurrences of events in time using a set of event definitions in the form of first-order rules.
Online Learning of Event Definitions
The Event Calculus is a temporal logic that has been used as a basis in event recognition applications, providing among others, direct connections to machine learning, via Inductive Logic Programming (ILP).
Incremental Learning of Event Definitions with Inductive Logic Programming
Ideally, systems that learn from temporal data should be able to operate in an incremental mode, that is, revise prior constructed knowledge in the face of new evidence.
