Results 101 to 110 of about 29,392 (243)
Kajian Model Hidden Markov untuk Menduga Volatilitas Indeks Harga Saham
, 2013 Volatility is a measure of uncertainty, which is useful for investor to plan a good investment strategy. The problem is that volatility is unobservable, and estimating volatility is not a trivial task.
Baist, Abdul
core
, 2011 The chromosome which represents the HMM can be extracted from its corresponding neural network. The general structure of the chromosome is divided into two sections, input layer and hidden layer. Each section contains many slots, and each slot represents
Neuroevolution Mechanism for Hidden Markov Model (5584958) +1 more
core +1 more source
AI in chemical engineering: From promise to practice
AIChE Journal, Volume 72, Issue 7, July 2026.Abstract Artificial intelligence (AI) in chemical engineering has moved from promise to practice: physics‐aware (gray‐box) models are gaining traction, reinforcement learning complements model predictive control (MPC), and generative AI powers documentation, digitization, and safety workflows.
Jia Wei Chew +4 more
wiley +1 more source
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
Health-state estimation and prognostics in machining processes [PDF]
, 2010 Failure mechanisms of electromechanical systems usually involve several degraded health-states. Tracking and forecasting the evolution of health-states and impending failures, in the form of remaining-useful-life (RUL), is a critical challenge and ...
Fatih Camci +4 more
core +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
Modeling Pipeline Driving Behaviors: A Hidden Markov Model Approach [PDF]
Driving behaviors at intersection are complex because drivers have to perceive more traffic events than normal road driving and thus are exposed to more errors with safety consequences. Drivers make real-time responsesin a stochastic manner.
Xi Zou, David Levinson
core
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
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