Results 91 to 100 of about 66,463 (260)
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IEEE Access, 2020 This paper concerns the quantized H∞ feedback control problem for a class of semi-Markov jump systems with limited mode information. In networked control loop, the network-induced phenomenon limits the accuracy of the signal transmission. The mode
Ming Xu +3 more
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SMCis: An Effective Algorithm for Discovery of Cis-Regulatory Modules. [PDF]
PLoS ONE, 2016 The discovery of cis-regulatory modules (CRMs) is a challenging problem in computational biology. Limited by the difficulty of using an HMM to model dependent features in transcriptional regulatory sequences (TRSs), the probabilistic modeling methods ...
Haitao Guo, Hongwei Huo, Qiang Yu
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Conversational AI Agents: The Effect of Process and Outcome Variation on Anthropomorphism and Trust
Information Systems Journal, EarlyView.ABSTRACT Organisations increasingly deploy conversational AI agents (CAs) in agentic roles where behavioural variations are inevitable. Prior work often conflates two distinct forms of variation: outcome variation (where success fluctuates) and process variation (where the path to completion varies).
Kambiz Saffarizadeh, Mark Keil
wiley +1 more source
Maximum likelihood estimation for hidden semi-Markov models
Comptes Rendus. Mathématique, 2006 In this Note we consider a discrete-time hidden semi-Markov model and we prove that the nonparametric maximum likelihood estimators for the characteristics of such a model have nice asymptotic properties, namely consistency and asymptotic normality.
Barbu, Vlad, Limnios, Nikolaos
openaire +2 more sources
Breeding 5.0: Artificial intelligence (AI)‐decoded germplasm for accelerated crop innovation
Journal of Integrative Plant Biology, EarlyView.ABSTRACT Crop breeding technologies are vital for global food security. While traditional methods have improved yield, stress tolerance, and nutrition, rising challenges such as climate instability, land loss, and pest pressure now demand new solutions.
Jiayi Fu +4 more
wiley +1 more source
An Improved Fault Detection Method based on HSMM: Application to a Chemical Process
International Journal of Prognostics and Health ManagementThis paper proposes a fault detection method for multivariate statistical process control. The proposed method combines the Forward-Backward Hidden Semi-Markov Model (HSMM) and Principal Component Analysis (PCA). A stochastic automaton was used for multi-
Lestari Handayani +2 more
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Journal of Phycology, EarlyView.Abstract The genus Merismopedia is morphologically characterized by its distinctive colony arrangement yet exhibits considerable variability among species. Recent studies suggested that Merismopedia is polyphyletic, and its most likely true lineage was provisionally placed within the Microcystaceae. However, the available molecular data for most of the
Jan Pokorný +2 more
wiley +1 more source
Explicit Modeling of Brain State Duration Using Hidden Semi Markov Models in EEG Data
IEEE AccessWe consider the detection and characterization of brain state transitions based on ongoing electroencephalography (EEG). Here, a brain state represents a specific brain dynamical regime or mode of operation that produces a characteristic quasi-stable ...
Nelson J. Trujillo-Barreto +3 more
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Learning Controllers for Reactive and Proactive Behaviors in Human-Robot Collaboration
Frontiers in Robotics and AI, 2016 Designed to safely share the same workspace as humans and assist them in a variety of tasks, the new collaborative robots are targeting manufacturing and service applications that once were considered unattainable.
Sylvain eCalinon +3 more
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A decision-theoretic approach for segmental classification
, 2013 This paper is concerned with statistical methods for the segmental classification of linear sequence data where the task is to segment and classify the data according to an underlying hidden discrete state sequence.
Holmes, Christopher C., Yau, Christopher
core +1 more source