In a study published in Frontiers of Engineering Management, researchers from Huazhong University of Science and Technology present an online hidden Markov model (OHMM) for predicting geological ...

Discrete sequence modeling and prediction is an important goal and a challenge for pervasive computing. Mobile clients' data request forecasting and location tracking in wireless cellular networks are ...

Implementation Details The implementation is provided in Python and consists of: markov_chain.py: Contains the core implementation of the Markov chain models for both character-level and word-level ...

Furthermore, the possibility Markov chain is proposed, which has a disidentifiable state (posterior) and a nondiscriminable state (prior). In this paper, we first take up the entity efficiency ...

[Ben Hoyt] takes us through how these work, and provides some Python code so that you can roll your own. If you’re uncertain what a Markov chain is, consider the predictive text on your phone.

The accuracy of such a prediction depends on the distribution of the transition probabilities. We argue that Markov chains also have useful applications when studying cognitive brain functions. The ...

In order to overcome such limitations, we propose a prediction algorithm of vehicle speed based on a stochastic model using a Markov chain with speed constraints. The Markov chain, which forms the ...

Since chaotic time series models are physics-based models, they are more reliable than data-driven models, especially in long-term trend prediction. Second, considering the mechanism of hybrid ...

java markov-chain dependency text-prediction maven-pom Readme Apache-2.0 license Activity ...