Proceedings ArticleDOI
Partially-Observed Discrete Dynamical Systems
Mahdi Imani,Seyede Fatemeh Ghoreishi +1 more
- pp 310-315
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TLDR
In this paper, a partially-observed discrete dynamical systems (PODDS) model is introduced, where the state is a vector containing the information of different components of the system, and each component takes its value from a finite real-valued set.Abstract:
This paper introduces a new signal model called partially-observed discrete dynamical systems (PODDS). This signal model is a special case of the hidden Markov model (HMM), where the state is a vector containing the information of different components of the system, and each component takes its value from a finite real-valued set. This signal model is currently treated as a finite-state HMM, where maximum a posteriori (MAP) criterion is used for state estimator purpose. This paper takes advantage of the discrete structure of the state variables in PODDS and develops the optimal componentwise MAP (CMAP) state estimator, which yields the MAP solution in each state variable. A fully-recursive process is provided for computation of this optimal estimator, followed by introducing a specific instance of the PODDS model suitable for regulatory networks observed through noisy time series data. The high performance of the proposed estimator is demonstrated by numerical experiments with a PODDS model of random regulatory networks.read more
Citations
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Dispersion entropy-based Lempel-Ziv complexity: A new metric for signal analysis
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Graph-Based Bayesian Optimization for Large-Scale Objective-Based Experimental Design.
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Graph-Based Bayesian Optimization for Large-Scale Objective-Based Experimental Design
TL;DR: In this article , a graph-based MOCU-based Bayesian optimization framework is proposed to achieve a scalable objective-based experimental design, which takes the main objective of the process into account during the experimental design process.
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Feature extraction methods of ship-radiated noise: From single feature of multi-scale dispersion Lempel-Ziv complexity to mixed double features
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On the Oscillatory Properties of Solutions of Second-Order Damped Delay Differential Equations
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References
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Karoline Faust,J. Fah Sathirapongsasuti,Jacques Izard,Jacques Izard,Nicola Segata,Dirk Gevers,Jeroen Raes,Curtis Huttenhower,Curtis Huttenhower +8 more
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Stochastic systems : estimation, identification, and adaptive control
P. R. Kumar,Pravin Varaiya +1 more
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Sparse and Compositionally Robust Inference of Microbial Ecological Networks
Zachary D. Kurtz,Christian L. Müller,Emily R. Miraldi,Dan R. Littman,Martin J. Blaser,Richard Bonneau +5 more
TL;DR: SParse InversE Covariance Estimation for Ecological Association Inference is presented, a statistical method for the inference of microbial ecological networks from amplicon sequencing datasets that outperforms state-of-the-art methods to recover edges and network properties on synthetic data under a variety of scenarios.