Results 51 to 60 of about 68,126 (238)

Construction of Semi-Markov Decision Process Models of Continuous State Space Environments Using Growing Cell Structures and Multiagentk-Certainty Exploration Method

Journal of Advanced Computational Intelligence and Intelligent Informatics, 2009
k-certainty exploration method, an efficient reinforcement learning algorithm, is not applied to environments whose state space is continuous because continuous state space must be changed to discrete state space. Our purpose is to construct discrete semi-Markov decision process (SMDP) models of such environments using growing cell structures to ...
Takeshi Tateyama, Seiichi Kawata, Yoshiki Shimomura   +2 more
openaire   +1 more source

A Semi-Markov Modulated Interest Rate Model

, 2012
In this paper we propose a semi-Markov modulated model of interest rates. We assume that the switching process is a semi-Markov process with finite state space E and the modulated process is a diffusive process.
D'Amico, Guglielmo, Manca, Raimondo, Salvi, Giovanni   +2 more
core   +1 more source

An Investigation of Key Symptoms That Account for the Early Response Effect During Psychological Therapy for Eating Disorders

European Eating Disorders Review, EarlyView.
ABSTRACT Objective The early response effect, defined as a reliable symptomatic improvement during the initial phase of treatment, is the most robust predictor of recovery following eating disorder treatment. This study aimed to investigate which symptom domains mostly influence the early response effect. Methods Data from N = 232 adult patients (90.8%
Ammara Imtiaz, Caroline Bell, Glenn Waller, Jaime Delgadillo   +3 more
wiley   +1 more source

Wide sense one-dependent processes with embedded Harris chains and their applications in inventory management [PDF]

In this paper we consider stochastic processes with an embedded Harris chain. The embedded Harris chain describes the dependence structure of the stochastic process.
Bazsa, E.M., Iseger, P. den
core   +1 more source

Performance and Robustness Analysis of Stochastic Jump Linear Systems using Wasserstein metric

, 2014
This paper focuses on the performance and the robustness analysis of stochastic jump linear systems. The state trajectory under stochastic jump process becomes random variables, which brings forth the probability distributions in the system state ...
Bhattacharya, Raktim, Halder, Abhishek, Lee, Kooktae   +2 more
core   +1 more source

A Comparison of Realized Measures of Integrated Volatility: Price Duration‐ vs. Return‐Based Approaches

Journal of Forecasting, EarlyView.
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, Mawuli Segnon, Timo Wiedemann   +2 more
wiley   +1 more source

Mean-Payoff Optimization in Continuous-Time Markov Chains with Parametric Alarms

, 2017
Continuous-time Markov chains with alarms (ACTMCs) allow for alarm events that can be non-exponentially distributed. Within parametric ACTMCs, the parameters of alarm-event distributions are not given explicitly and can be subject of parameter synthesis.
A Jovanovic, A Jovanović, C Haase, C Lindemann, DLP Minh, DP Bertsekas, EG Amparore, EM Hahn, H Choi, JR Norris, L Alfaro, L-M Traonouez, M Češka, ML Puterman, PJ Haas, R German, SK Jha, T Brázdil, T Brázdil, W Nelson   +19 more
core   +1 more source

Realistic Representation, Dynamic Evolution and Determinants of Institutional Quality in China

International Studies of Economics, EarlyView.
ABSTRACT The paper delves into the role of institutional quality in bolstering China's economic resilience post‐COVID‐19, CITIC‐Entropy. It divides institutions into basic and changeable categories, establishing an index system via the CITIC‐Entropy TOPSIS model.
Susu Wang, Qidi Zhang, Jing Fang
wiley   +1 more source

Self-Optimizing and Pareto-Optimal Policies in General Environments based on Bayes-Mixtures

, 2002
The problem of making sequential decisions in unknown probabilistic environments is studied. In cycle $t$ action $y_t$ results in perception $x_t$ and reward $r_t$, where all quantities in general may depend on the complete history.
Hutter, Marcus
core   +4 more sources

MRI for Lung Cancer Management: Any Closer to Clinical Application?

Journal of Magnetic Resonance Imaging, EarlyView.
ABSTRACT Management of lung cancer (LC) encompasses screening, diagnosis, staging, radiotherapy planning and guidance, therapy monitoring and surveillance. Across these domains, magnetic resonance imaging (MRI) offers a range of morphological and functional imaging capabilities—including diffusion‐weighted imaging (DWI), dynamic contrast‐enhanced (DCE)
Juergen Biederer, Liisa L. Bergmann, Jeanne B. Ackman, Bruno Hochhegger, Lea Azour, Simon M. F. Triphan, Julien Dinkel, Yoshiharu Ohno, Yoshiyuki Ozawa, Edwin J. R. van Beek, Lena Wucherpfennig   +10 more
wiley   +1 more source