#belief-propagation News & Analysis

2 articles tagged with #belief-propagation. AI-curated summaries with sentiment analysis and key takeaways from 50+ sources.

2 articles

AINeutralarXiv – CS AI · May 115/10

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Exact Regular-Constrained Variable-Order Markov Generation via Sparse Context-State Belief Propagation

Researchers present a novel computational method for generating sequences constrained by regular automata using variable-order Markov models. The advancement eliminates the need to expand full K-tuple state spaces while maintaining exact inference, achieving linear complexity for fixed models and enabling efficient constrained sequence generation across applications.

AIBullisharXiv – CS AI · Mar 37/107

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FastBUS: A Fast Bayesian Framework for Unified Weakly-Supervised Learning

Researchers propose FastBUS, a new Bayesian framework for weakly-supervised machine learning that addresses computational inefficiencies in existing methods. The framework uses probabilistic transitions and belief propagation to achieve state-of-the-art results while delivering up to hundreds of times faster processing speeds than current general methods.