Results 111 to 120 of about 29,392 (243)
Quantifying the uncertainty in change points [PDF]
, 2011 Quantifying the uncertainty in the location and nature of change points in time series is important in a variety of applications. Many existing methods for estimation of the number and location of change points fail to capture fully or explicitly the ...
Aston, John A. D. +5 more
core +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
hmmTMB: Hidden Markov Models with Flexible Covariate Effects in R
Journal of Statistical SoftwareHidden Markov models (HMMs) are widely applied in studies where a discrete-valued process of interest is observed indirectly. They have for example been used to model behavior from human and animal tracking data, disease status from medical data, and ...
Théo Michelot
doaj +1 more source
Infinite Structured Hidden Semi-Markov Models
, 2014 23 pages, 10 ...
Huggins, Jonathan H., Wood, Frank
openaire +2 more sources
, 2012 Includes bibliographical references.Standard Geometric Brownian Motion is the stock model underlying Black-Scholes famous option pricing formula. There are however numerous problems with this stock model as certain features do not follow some empirical ...
Fairbrother, Mark
core
WIREs Energy and Environment, Volume 15, Issue 2, June 2026.Artificial Intelligence and Machine Learning Approaches used in Building Energy Analysis, Control, and Provision of Grid Support Services. ABSTRACT Increasing penetrations of variable renewable energy sources like wind and solar photovoltaic (PV) systems are challenging power system stability worldwide.
Jack S. Bryant +11 more
wiley +1 more source
Hidden Semi Markov Models for Multiple Observation Sequences: The mhsmm Package for R
This paper describes the R package mhsmm which implements estimation and prediction methods for hidden Markov and semi-Markov models for multiple observation sequences. Such techniques are of interest when observed data is thought to be dependent on some
Søren Højsgaard, Jared O'Connell
core
Unsupervised hidden semi-Markov model for automatic beat onset detection in 1D Doppler ultrasound. [PDF]
Physiol Meas, 2020 Katebi N +4 more
europepmc +1 more source
Fresher Streams After a Prolonged Drought in Victoria, Australia
Water Resources Research, Volume 62, Issue 6, June 2026.Abstract Salinity in waterways changes throughout the year due to interactions between more saline groundwater and fresher surface water as runoff changes seasonally and with rainfall events. Droughts have recently been shown to cause persistent shifts in rainfall runoff partitioning, and here we examine whether stream salinity also exhibits such ...
Thomas G. Westfall +3 more
wiley +1 more source
International Journal of Distributed Sensor Networks, 2013 Most of analyses for the IEEE 802.15.4 Carrier Sense Multiple Access with Collision Avoidance (CSMA/CA) scheme for multi-hop wireless sensor networks (WSNs) focus on how to avoid the impacts of hidden terminal problems rather than how to derive the exact
Jianping Zhu, Chunfeng Lv, Zhengsu Tao
doaj +1 more source