Results 21 to 30 of about 557,766 (311)

Bayesian variable order Markov models [PDF]

, 2010
Christos Dimitrakakis
openalex   +1 more source

Cache-Based Privacy Protection Scheme for Continuous Location Query

Entropy, 2023
Users who initiate continuous location queries are prone to trajectory information leakage, and the obtained query information is not effectively utilized.
Zhenpeng Liu, Dewei Miao, Ruilin Li, Yi Liu, Xiaofei Li   +4 more
doaj   +1 more source

Dynamic order Markov model for categorical sequence clustering

Journal of Big Data, 2021
Markov models are extensively used for categorical sequence clustering and classification due to their inherent ability to capture complex chronological dependencies hidden in sequential data.
Rongbo Chen, Haojun Sun, Lifei Chen, Jianfei Zhang, Shengrui Wang   +4 more
doaj   +1 more source

Epidemiological analysis of varicella in Dalian from 2009 to 2019 and application of three kinds of model in prediction prevalence of varicella

BMC Public Health, 2022
Objective This study described the epidemic characteristics of varicella in Dalian from 2009 to 2019, explored the fitting effect of Grey model first-order one variable( GM(1,1)), Markov model, and GM(1,1)-Markov model on varicella data, and found the ...
Tingting Cheng, Yu Bai, Xianzhi Sun, Yuchen Ji, Fan Zhang, Xiaofeng Li   +5 more
doaj   +1 more source

Simulating the spatiotemporal changes of forest extent for the Chehelchay watershed (Golestan province), using integrated CA-Markov model [PDF]

تحقیقات جنگل و صنوبر ایران, 2012
The importance of land-use/ land-cover (LULC) as a dynamic factor and effective on environmental conditions, makes it necessary to get precise quantitative and qualitative information from it and to identify its changes through short time periods ...
Arash Zare Garizi, Vahedberdi Sheikh, Amir Sadoddin, Abdolrassoul Salman Mahiny   +3 more
doaj   +1 more source

On Exact Sampling in the Two-Variable Fragment of First-Order Logic [PDF]

Logic in Computer Science, 2023
In this paper, we study the sampling problem for first-order logic proposed recently by Wang et al.—how to efficiently sample a model of a given first-order sentence on a finite domain? We extend their result for the universally-quantified subfragment of
Yuanhong Wang, Juhua Pu, Yuyi Wang, Ondřej Kuželka   +3 more
semanticscholar   +1 more source

The Variable Markov Oracle: Algorithms for Human Gesture Applications [PDF]

, 2015
This article introduces the Variable Markov Oracle (VMO) data structure for multivariate time series indexing. VMO can identify repetitive fragments and find sequential similarities between observations.
Dubnov, Shlomo, Wang, Cheng-i
core   +1 more source

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, Rastislav Lenhardt, James Worrell   +2 more
doaj   +1 more source

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, Seyyed Ali Emami, Afshin Banazadeh, Paolo Castaldi   +3 more
doaj   +1 more source

Exact Bayesian curve fitting and signal segmentation. [PDF]

, 2005
We consider regression models where the underlying functional relationship between the response and the explanatory variable is modeled as independent linear regressions on disjoint segments.
B. Freedman, C. Fleuhr-Lobban, Committee on Science, Engineering and Public Policy of the National Academy of Sciences, National Academy of Engineering, and Institute of Medicine, Committee on Science, Engineering and Public Policy of the National Academy of Sciences, National Academy of Engineering, and Institute of Medicine, Committee on Science, Engineering and Public Policy of the National Academy of Sciences, National Academy of Engineering, and Institute of Medicine, D. Gotterbarn, D. R. Jeffrey, E. Heath, Engineering and Physical Sciences Research Council (EPSRC), F. J. Fowler Jr., H. C. Kelman, H. K. Beecher, H. K. Beecher, J. E. Sieber, J. E. Sieber, J. E. Sieber, J. Schrier, J. Singer, J. Singer, K. El-Emam, M. S. Frankel, N. G. Vinson, N. Vinson, P. H. Mirvis, P. McNeill, R. E. Anderson, R. R. Faden, S. Smith, S. Worchel, T. C. Lethbridge, U. Becker-Kornstaedt, W. Harrison   +31 more
core   +2 more sources