#belief-propagation News & Analysis

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

3 articles

AINeutralarXiv – CS AI · Jun 256/10

🧠

Attractive and Repulsive Pattern Control in Sequence Generation

Researchers introduce a signed pattern control mechanism for variable-order Markov sequence generation that reduces unwanted repetition and controls text generation quality through weighted recurrence automata and belief propagation sampling. Testing on musical sequences from Bach, Telemann, and jazz databases demonstrates the method effectively decreases self-reuse while maintaining coherence and training data fidelity.

AINeutralarXiv – CS AI · May 115/10

🧠

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

🧠

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.