Results 101 to 110 of about 24,804 (235)
Bayesian nonparametric hidden Markov models with application to the analysis of copy-number-variation in mammalian genomes [PDF]
, 2009 We consider the development of Bayesian Nonparametric methods for product partition models such as Hidden Markov Models and change point models.
Yau, C. +3 more
core
Journal of Forecasting, Volume 45, Issue 4, Page 1579-1600, July 2026.ABSTRACT We study the accuracy of a variety of parametric price duration‐based realized variance estimators constructed via various financial duration models and compare their forecasting performance with the performance of various nonparametric return‐based realized variance estimators.
Björn Schulte‐Tillmann +2 more
wiley +1 more source
Properties of the Statistical Complexity Functional and Partially Deterministic HMMs
Entropy, 2009 Statistical complexity is a measure of complexity of discrete-time stationary stochastic processes, which has many applications. We investigate its more abstract properties as a non-linear function of the space of processes and show its close relation to
Wolfgang Löhr
doaj +1 more source
A Hidden Semi-Markov Model-Based Speech Synthesis System
IEICE Transactions on Information and Systems, 2007 A statistical speech synthesis system based on the hidden Markov model (HMM) was recently proposed. In this system, spectrum, excitation, and duration of speech are modeled simultaneously by context-dependent HMMs, and speech parameter vector sequences are generated from the HMMs themselves.
Heiga Zen +4 more
openaire +1 more source
Conversational AI Agents: The Effect of Process and Outcome Variation on Anthropomorphism and Trust
Information Systems Journal, Volume 36, Issue 4, Page 597-623, July 2026.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
Hybrid Parallel Model of Semi-Blind Joint Timing-Offset and Channel Estimation for AF-TWRNs
IEEE AccessTiming offset and channel estimation plays an important role in the performance of amplify-and-forward two-way relay networks. The state-of-the art approach models the system as a Hidden Markov Model (HMM) and performs semi-blind estimation using ...
Ali A. El-Moursy +5 more
doaj +1 more source
Automation and Augmentation in Theological Perspective
Modern Theology, Volume 42, Issue 3, Page 612-628, July 2026.Abstract AI enables forms of automation that threaten unemployment and deskilling, eliminating important opportunities for the development of virtue. The concomitant loss of virtue and meaningful employment makes it a theological problem from the perspective of Catholic social teaching and theological anthropology.
Paul Scherz
wiley +1 more source
Solution to error source model selection problem in IS EASECC
Advanced Engineering Research, 2017 Introduction. The development of error-correcting techniques in digital transmission channels is considered. This is a multiparameter problem the solution of which through the analytical methods is rather difficult.
Vladimir M Deundyak +2 more
doaj +1 more source
A Survey for Deep Reinforcement Learning Based Network Intrusion Detection
Applied AI Letters, Volume 7, Issue 2, June 2026.This paper surveys deep reinforcement learning (DRL) for network intrusion detection, evaluating model efficiency, minority attack detection, and dataset imbalance. Findings show DRL achieves state‐of‐the‐art results on public datasets, sometimes surpassing traditional deep learning.
Wanrong Yang +3 more
wiley +1 more source
SynSys: A Synthetic Data Generation System for Healthcare Applications
Sensors, 2019 Creation of realistic synthetic behavior-based sensor data is an important aspect of testing machine learning techniques for healthcare applications. Many of the existing approaches for generating synthetic data are often limited in terms of complexity ...
Jessamyn Dahmen, Diane Cook
doaj +1 more source