Results 1 to 10 of about 557,766 (311)
KVLMM: A Trajectory Prediction Method Based on a Variable-Order Markov Model With Kernel Smoothing
IEEE Access, 2018 With the dramatic proliferation of global positioning system (GPS) devices, a rich range of research has been conducted on the analysis of GPS trajectories.
Xing Wang +3 more
doaj +4 more sources
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 ...
Bans Gun Surmeli +4 more
semanticscholar +4 more sources
A framework for space-efficient variable-order Markov models [PDF]
Bioinformatics, 2018 AbstractMotivationMarkov models with contexts of variable length are widely used in bioinformatics for representing sets of sequences with similar biological properties. When models contain many long contexts, existing implementations are either unable to handle genome-scale training datasets within typical memory budgets, or they are optimized for ...
Fabio Cunial +2 more
semanticscholar +5 more sources
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
semanticscholar +4 more sources
Bayesian classifiers for detecting HGT using fixed and variable order markov models of genomic signatures [PDF]
Bioinformatics, 2006 Abstract Motivation: Analyses of genomic signatures are gaining attention as they allow studies of species-specific relationships without involving alignments of homologous sequences. A naïve Bayesian classifier was built to discriminate between different bacterial compositions of short oligomers, also known as DNA words.
Daniel Dalevi +2 more
semanticscholar +5 more sources
Predicting Stock Returns Using a Variable Order Markov Tree Model [PDF]
Studies in Nonlinear Dynamics & Econometrics, 2012 The weak form of the Efficient Market Hypothesis (EMH) states that the current market price fully reflects the information of past prices and rules out predictions based on price data alone. In an efficient market, consistent prediction of the next outcome of a financial time series is problematic because there are no reoccurring patterns that can be ...
Armin Shmilovici, Irad Ben‐Gal
semanticscholar +3 more sources
AIMS Mathematics, 2023 In this paper, we propose an optimal fractional-order accumulative Grey Markov model with variable parameters (FOGMKM (1, 1)) to predict the annual total energy consumption in China and improve the accuracy of energy consumption forecasting.
Dewang Li +4 more
doaj +2 more sources
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
Ruichang Li
openalex +2 more sources
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 (
R. Begleiter, R. El-Yaniv, G. Yona
+7 more sources
NEURONAL ENSEMBLE MODELING AND ANALYSIS WITH VARIABLE ORDER MARKOV MODELS [PDF]
, 2010 Neuronal cells (neurons) mainly transmit signals by action potentials or spikes. Neuronal electrical activity is recorded from experimental animals by microelectrodes placed in specific brain areas. These electrochemical fast phenomena occur as all-or-none events and can be analyzed as boolean sequences.
Antonio G. Zippo
openalex +3 more sources