Search Results - model of hierarchical complexity

Efficient duration modelling in the hierarchical hidden semi-Markov models and their applications by Duong, Thi V. T.

Subjects: “…hidden Markov model (HMM)…”
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On conditional random fields: applications, feature selection, parameter estimation and hierarchical modelling by Tran, The Truyen

“…There has been a growing interest in stochastic modelling and learning with complex data, whose elements are structured and interdependent. …”
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Efficient duration and hierarchical modeling for human activity recognition by Duong, Thi, Phung, Dinh, Bui, Hung H., Venkatesh, Svetha

“…In this paper, we address this problem and argue that in dealing with ADLs, it is beneficial to exploit both their typical duration patterns and inherent hierarchical structures. We exploit efficient duration modeling using the novel Coxian distribution to form the Coxian hidden semi-Markov model (CxHSMM) and apply it to the problem of learning and recognizing ADLs with complex temporal dependencies.The Coxian duration model has several advantages over existing duration parameterization using multinomial or exponential family distributions, including its denseness in the space of non negative distributions, low number of parameters, computational efficiency and the existence of closed-form estimation solutions. …”
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Hierarchical structural driven model for integrative information management architecture by Mohd Tamrin, Mohd Izzuddin, Tengku Sembok, Tengku Mohd, Kartiwi, Mira

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Bayesian Hierarchical Modelling of Equipment Reliability in Mining: A Pragmatic Approach by Leadbetter, Ryan K.

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Research on pendulum-type and rotational waves in 2D discrete blocky rock masses with complex hierarchical structures by Jiang, K., Lu, Chunsheng, Qi, C., Wang, Z.

“…In this paper, based on the Cosserat theory, a dynamic model of pendulum-type and rotational waves in blocky rock mass with complex hierarchical structures is established to determine the influence of hierarchical structures on dynamic deformation. …”
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Topic transition detection using hierarchical hidden Markov and semi-Markov models by Phung, Dinh, Venkatesh, Svetha, Duong, Thi, Bui, Hung H.

“…Our probabilistic detection framework is a combination of a shot classification step and a detection phase using hierarchical probabilistic models. We consider two models in this paper: the extended Hierarchical Hidden Markov Model (HHMM) and the Coxian Switching Hidden semi-Markov Model (S-HSMM) because they allow the natural decomposition of semantics in videos, including shared structures, to be modeled directly, and thus enabling ecient inference and reducing the sample complexity in learning. …”
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Evidence accumulation models with R: A practical guide to hierarchical Bayesian methods by Lin, Yi Shin, Strickland, Luke

“…We illustrate its basic use and an example of fitting complex hierarchical Wiener diffusion models to four shooting-decision data sets.…”
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Learning and detecting activities from movement trajectories using the hierarchical hidden Markov model by Nguyen, Nam, Phung, Dinh, Venkatesh, Svetha, Bui, Hung H.

“…We argue that to robustly model and recognize complex human activities, it is crucial to exploit both the natural hierarchical decomposition and shared semantics embedded in the movement trajectories. …”
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Hierarchical Bayesian estimation for stationary autoregressive models using reversible jump MCMC algorithm by Suparman, S., Rusiman, Mohd Saifullah

“…This paper aims to estimate the order and coefficients of an autoregressive model based on data. The hierarchical Bayesian approach is used to estimate the order and coefficients of the autoregressive model. …”
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Towards designing and measuring interpretable hierarchical fuzzy systems by Razak, Tajul Rosli

“…In FLSs, complexity is expressed by the number of rules, variables, and fuzzy terms, called rule-based complexity. …”
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MCMC for Hierarchical Semi-Markov Conditional Random fields by Truyen, Tran, Phung, Dinh, Venkatesh, Svetha, Bui, Hung H.

“…Deep architecture such as hierarchical semi-Markov models is an important class of models for nested sequential data. …”
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Hierarchical super-regions and their applications to biological volume segmentation by Luengo, Imanol

“…These regions are only as powerful as the features that represent them, and thus, an in-depth discussion about biological features and grouping methods will lead the way to our first interactive segmentation model, by gathering contextual information from super-regions and hierarchical segmentation layers to allow for segmentation of large regions of the volume with few user input (in the form of annotations or scribbles). …”
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Using a trait complex model to predict types of academic performance in undergraduate medical education in the UK by Semper, Heather M.

“…This study therefore provided support for a three dimensional model of medical student academic performance. However the influence of trait complexes warrants further investigation later in a medical career.…”
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Hierarchical Facility Location with distance constraints: Analysing the problem on a line by Pareja, Andrea

“…Facility Location decisions are considered as strategic decisions for many organisations, mainly because of the high-costs involved in building and implementing them. However, they are complex problems to solve because of the different variables to be considered, this is why many studies have been conducted on this area and many generic models for solving them can be found in the literature. …”
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Simulating weed propagation via hierarchical patch-based cellular automata by Majer, Jonathan, Dunn, A. G.

“…Ecological systems are complex systems that feature heterogeneity at a number of spatial scales. …”
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A hierarchical finite element Monte Carlo method for stochastic two-scale elliptic equations by Brown, Donald L., Hoang, Viet Ha

“…The method combines the hierarchical finite element method for solving cell problems at a dense network of macroscopic points with the optimal complexity developed in D. …”
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DWI and complex brain network analysis predicts vascular cognitive impairment in spontaneous hypertensive rats undergoing executive function tests by López-Gil, Xavier, Amat-Roldan, Iván, Tudela, Raúl, Castańé, Anna, Prats-Galino, Alberto, Planas, Anna M., Farr, Tracy D., Soria, Guadalupe

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Complexity and Choice: Reassessing Support for Women in Leadership Programs by Groombridge, Barbara, Worden, Suzette

“…This paper will consider how leadership development strategies can be extended to meet current developments in higher education, where there is a need to respond to increasing complexity within the system, resulting from changes in government policy and the impact of globalisation.We propose that there is a need to address diversity in leadership roles to meet the challenge of complexity, as one outcome of a focus on promotion in leadership programs has been to emphasise and reinforce conventional managerial, hierarchical expectations of leadership. …”
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HARC-New Hybrid Method with Hierarchical Attention Based Bidirectional Recurrent Neural Network with Dilated Convolutional Neural Network to Recognize Multilabel Emotions from Text by Islam, Md Shofiqul, Sultana, Sunjida, Debnath, Uttam Kumar, Al Mahmud, Jubayer, Islam, S. M. Jahidul

“…Our method works better than other basic and CNN and RNN based hybrid models. In the future, we will work for more levels of text emotions from long and more complex text.…”
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