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Excel 365 Conditional Formatting : The Secret to Smarter Data Analysis
Learn how to master Excel 365 conditional formatting to transform raw data into actionable insights with this step-by-step ...
Kumo’s ‘relational foundation model’ predicts the future your LLM can’t see
Forecasting is a fundamentally new capability that is missing from the current purview of generative AI. Here's how Kumo is changing that.
IEEE5d
Variational Bayesian Learning of Generalized Dirichlet-Based Hidden Markov Models Applied to Unusual Events Detection - IEEE Xplore
Learning a hidden Markov model (HMM) is typically based on the computation of a likelihood which is intractable due to a summation over all possible combinations of states and mixture components. This ...
C&EN8d
Determination of Tube Theory Parameters Using a Simple Grid Model as an Example | Macromolecules - ACS Publications
Although the tube theory is successful in describing entangled polymers qualitatively, a more quantitative description requires precise and consistent definitions of its parameters. Here we ...
C&EN23d
Multimode Continuous Processes Monitoring Based on Hidden Semi-Markov Model and Principal Component Analysis | Industrial & Engineering Chemistry Research - ACS Publications
Several studies have applied the hidden Markov model (HMM) in multimode process monitoring. However, because the inherent duration probability density of HMM is exponential, which is inappropriate for ...
BMJ24d
Determining cost-effectiveness of lung cancer screening in urban Chinese populations using a state-transition Markov model - BMJ Open
Objectives This study analyses the cost-effectiveness of annual low-dose CT (LDCT) screening of high-risk cancer populations in Chinese urban areas. Design We used a Markov model to evaluate LDCT ...
IEEE27d
Classification of Seismic Volcanic Signals Using Hidden-Markov-Model-Based Generative Embeddings - IEEE Xplore
The automated classification of seismic volcanic signals has been faced with several different pattern recognition approaches. Among them, hidden Markov models (HMMs) have been advocated as a ...