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cs.LG2024
Generative Discrete Event Process Simulation for Hidden Markov Models to Predict Competitor Time-to-Market
Nandakishore Santhi, Stephan Eidenbenz, Brian Key +1
We study the challenge of predicting the time at which a competitor product, such as a novel high-capacity EV battery or a new car model, will be available to customers; as new inf…
cs.LG2024
Generating Hidden Markov Models from Process Models Through Nonnegative Tensor Factorization
Erik Skau, Andrew Hollis, Stephan Eidenbenz +2
Monitoring of industrial processes is a critical capability in industry and in government to ensure reliability of production cycles, quick emergency response, and national securit…