Markov models and optimization
PulseAugur coverage of Markov models and optimization — every cluster mentioning Markov models and optimization across labs, papers, and developer communities, ranked by signal.
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New Markov model technique analyzes musical structure in Debussy's "Syrinx"
Researchers have developed a novel method for estimating transition kernels in Markov models, utilizing overlapping sliding windows to derive local kernels directly from symbolic sequences. This observation-driven appro…
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New framework uses unsupervised learning for Markov model state construction
This paper introduces a novel framework for constructing states in Markov models using data-driven methods. It addresses the common issue of arbitrary state definition by combining supervised feature selection with unsu…
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New SERUM framework extracts user behavior models from screen video
Researchers have developed SERUM, a novel framework for extracting and refining finite-state behavioral models from unstructured screen activity using hierarchical vision-language model annotation. This multi-pass syste…
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New method characterizes tangent space for complex Markov models
Researchers have developed a method to characterize the orthogonal complement of the tangent space for general Markov models, a crucial step for efficient statistical inference. This work extends previous findings for d…
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New method enables constrained sequence generation with variable-order Markov models
Researchers have developed a new method for generating sequences using variable-order Markov models that incorporates regular constraints. This approach extends existing belief propagation techniques to handle complex r…