Results 81 to 90 of about 14,908,682 (295)
Multiple-regression hidden Markov model [PDF]
2001 IEEE International Conference on Acoustics, Speech, and Signal Processing. Proceedings (Cat. No.01CH37221), 2002 Proposes a class of hidden Markov model (HMM) called multiple-regression HMM (MR-HMM) that utilizes auxiliary features such as fundamental frequency (F/sub 0/) and speaking styles that affect spectral parameters to better model the acoustic features of phonemes.
Fujinaga, Katsuhisa +3 more
openaire +2 more sources
Multi‐Stage Social Value Orientation‐Based Lane‐Changing Driving for Autonomous Vehicles
Advanced Intelligent Systems, EarlyView.A multi‐stage SVO framework is developed to dynamically infer the social preferences of surrounding vehicles from human driving data. By combining offline learning, online SVO estimation, temporal intention tracking, and interaction‐aware planning, the framework enables autonomous vehicles to adapt lane‐changing decisions and trajectories to evolving ...
Nongrui Qin +4 more
wiley +1 more source
Features requirement elicitation process for designing a chatbot application
IET Networks, EarlyView., 2022 This article seeks to assist the chatbot community by outlining the characteristics that a chatbot needs to possess and explaining how to create a chatbot for a bank. In order to determine which capabilities are most crucial to ending users, a study of a small sample of chatbot users was conducted.
Nurul Muizzah Johari +4 more
wiley +1 more source
Utile distinction hidden Markov models [PDF]
Twenty-first international conference on Machine learning - ICML '04, 2004 This paper addresses the problem of constructing good action selection policies for agents acting in partially observable environments, a class of problems generally known as Partially Observable Markov Decision Processes. We present a novel approach that uses a modification of the well-known Baum-Welch algorithm for learning a Hidden Markov Model (HMM)
Wierstra, D., Wiering, M.A.
openaire +4 more sources
Business Strategy and the Environment, EarlyView.ABSTRACT Environmental sustainability and the broader Environmental, Social and Governance (ESG) agenda have become prominently proclaimed organisational priorities, yet their integration into core decision‐making remains uneven. While greenwashing research has largely focused on communication and disclosure, it has paid less attention to the internal ...
Olayiwola Oladiran +4 more
wiley +1 more source
Using Hidden Markov Chains in Recognition of Vowel Letters in English Language [PDF]
المجلة العراقية للعلوم الاحصائية, 2006 This study deals with hidden Markov models . These models consist of sets of finite states , each one of them is associated with a probability distribution .
doaj +1 more source
Antimicrobial Peptides and Peptidomimetics in Foods – A Synthetic Foray
ChemFoodChem, EarlyView.This Review discusses AMPs in foods and their syntheses. It espouses facile methods to make them accessible and suggests their utility in the mitigation and eradication of the burgeoning maladies of antimicrobial and multidrug resistance (AMR and MDR).
Josephat U. Izunobi +2 more
wiley +1 more source
DifferentiableHMM: Neural Differentiable Hidden Markov Model
ITEGAM-JETIAModeling clinical time series demands interpretable patient states alongside the ability to capture long-range dependencies. Classical HMMs provide discrete, clinically meaningful states but ignore distant history; RNNs capture rich temporal patterns ...
Arbia Boudaoud, Salheddine Kabou
doaj +1 more source
Learning sparse mixture‐of‐experts generalized linear models in ultrahigh dimensions
Canadian Journal of Statistics, EarlyView.Abstract Motivated by the challenges of heterogeneity and high dimensionality in the analysis of modern data, we investigate continuous regularization methods for learning sparse mixture‐of‐experts generalized linear models (MoE‐GLM). Although there are foundational results about regularized estimators in a broad class of regression models including ...
Pengqi Liu, Abbas Khalili
wiley +1 more source