Results 11 to 20 of about 50,721 (144)
Unsupervised mode detection in cyber-physical systems using variable order Markov models [PDF]
2017 IEEE 15th International Conference on Industrial Informatics (INDIN), 2017 Sequential data generated from various sources in a multi-mode industrial production system provides valuable information on the current mode of the system and enables one to build a model for each individual operating mode. Using these models in a multi-mode system, one may distinguish modes of the system and, furthermore, detect whether the current ...
Surmeli, Bans Gun +4 more
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On Prediction Using Variable Order Markov Models
Journal of Artificial Intelligence Research, 2004 This paper is concerned with algorithms for prediction of discrete sequences over a finite alphabet, using variable order Markov models. The class of such algorithms is large and in principle includes any lossless compression algorithm. We focus on six prominent prediction algorithms, including Context Tree Weighting (CTW), Prediction by Partial Match (
Begleiter, Ron +2 more
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Prediction of Indel flanking regions in protein sequences using a variable-order Markov model [PDF]
Bioinformatics, 2014 Abstract Motivation : Insertion/deletion (indel) and amino acid substitution are two common events that lead to the evolution of and variations in protein sequences. Further, many of the human diseases and functional divergence between homologous proteins are more related to indel mutations, even though they occur less often than the ...
Mufleh, Al-Shatnawi +2 more
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Joint Modeling of User Behaviors Based on Variable‐Order Additive Markov Chain for POI Recommendation [PDF]
Wireless Communications and Mobile Computing, 2021 The POI recommendation system has become an important means to help people discover attractive and interesting places. Based on our data analysis, we observe that users pay equal attention to conservatism and curiosity. In particular, adopting analysis corresponding to different time intervals, we find that users lean towards old POIs in the short term
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Two Variable vs. Linear Temporal Logic in Model Checking and Games [PDF]
Logical Methods in Computer Science, 2013 Model checking linear-time properties expressed in first-order logic has non-elementary complexity, and thus various restricted logical languages are employed. In this paper we consider two such restricted specification logics, linear temporal logic (LTL)
Michael Benedikt +2 more
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Robust Attitude Control of an Agile Aircraft Using Improved Q-Learning
Actuators, 2022 Attitude control of a novel regional truss-braced wing (TBW) aircraft with low stability characteristics is addressed in this paper using Reinforcement Learning (RL).
Mohsen Zahmatkesh +3 more
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Variable order Markov modellingfor LEO mobile satellite channels
Electronics Letters, 1999 A finite state Markov channel (FSMC) model for a digital narrowband mobile LEO satellite channel is presented, which can be used to predict the time-varying behaviour of the channel and to adapt the transmission to the channel state. The model is developed with the help of the so-called context tree pruning (CTP) algorithm.
BABICH, FULVIO +2 more
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Sensors, 2012 In this paper a quaternion-based Variable-State-Dimension Extended Kalman Filter (VSD-EKF) is developed for estimating the three-dimensional orientation of a rigid body using the measurements from an Inertial Measurement Unit (IMU) integrated with a ...
Angelo Maria Sabatini
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IEEE Access, 2021 This paper proposes a novel dynamic latent structure with time-varying parameters for virtual sensing of industrial process with irregular missing data. The proposed latent structure is based on the linear dynamic system (LDS) model.
Ze Ying, Yun Wang, Jun Wang, Yuchen He
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Maximum entropy models capture melodic styles
Scientific Reports, 2017 We introduce a Maximum Entropy model able to capture the statistics of melodies in music. The model can be used to generate new melodies that emulate the style of a given musical corpus.
Jason Sakellariou +3 more
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