Results 131 to 140 of about 256,437 (324)
Adaptive Self-Occlusion Behavior Recognition Based on pLSA
Journal of Applied Mathematics, 2013 Human action recognition is an important area of human action recognition research. Focusing on the problem of self-occlusion in the field of human action recognition, a new adaptive occlusion state behavior recognition approach was presented based on ...
Hong-bin Tu, Li-min Xia, Lun-zheng Tan
doaj +1 more source
Ecography, EarlyView.The spatial ecology of stalk‐and‐ambush predators like the Eurasian lynx Lynx lynx depends on prey availability and environmental features, yet the relative roles of these factors remain unclear at large spatial scales. In this study, we analysed lynx habitat use across central and southern Finland using snow‐track data from the Wildlife Triangle ...
Francesca Malcangi +4 more
wiley +1 more source
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 +3 more
wiley +1 more source
A Deep Learning Framework for Forecasting Medium‐Term Covariance in Multiasset Portfolios
Journal of Forecasting, EarlyView.ABSTRACT Forecasting the covariance matrix of asset returns is central to portfolio construction, risk management, and asset pricing. However, most existing models struggle at medium‐term horizons, several weeks to months, where shifting market regimes and slower dynamics prevail.
Pedro Reis, Ana Paula Serra, João Gama
wiley +1 more source
Randomized Distributed Configuration Management of Wireless Networks: Multi-layer Markov Random Fields and Near-Optimality [PDF]
, 2008 Sung-eok Jeon, Chunayi Ji
openalex +1 more source
Using DSGE and Machine Learning to Forecast Public Debt for France
Journal of Forecasting, EarlyView.ABSTRACT Forecasting public debt is essential for effective policymaking and economic stability, yet traditional approaches face challenges due to data scarcity. While machine learning (ML) has demonstrated success in financial forecasting, its application to macroeconomic forecasting remains underexplored, hindered by short historical time series and ...
Emmanouil Sofianos +4 more
wiley +1 more source
Nowcasting World Trade With Machine Learning: A Three‐Step Approach
Journal of Forecasting, EarlyView.ABSTRACT We nowcast world trade using machine learning, distinguishing between tree‐based methods (random forest and gradient boosting) and their linear‐regression‐based counterparts (macroeconomic random forest and gradient boosting—linear). While much less used in the literature, the latter are found to outperform not only the tree‐based techniques ...
Menzie Chinn +2 more
wiley +1 more source
Firefly-Algorithm Supported Scheme to Detect COVID-19 Lesion in Lung CT Scan Images using Shannon Entropy and Markov-Random-Field [PDF]
, 2020 V. Rajinikanth +4 more
openalex +1 more source
International Journal of Finance &Economics, EarlyView.ABSTRACT This study examines risk transmission and co‐movements between financial markets (G7 countries and China) and commodity markets (gold and oil) during the COVID‐19 crisis. Daily closing prices for major equity indices (CAC40, CSI300, DAX30, FTSE100, MIB, NIKKEI, TSX and S&P500) and futures prices for gold, brent and WTI were analysed using DCC ...
V. Moutinho +3 more
wiley +1 more source
Estimation of positive definite M-matrices and structure learning for\n attractive Gaussian Markov Random fields [PDF]
, 2014 Martin Slawski, Matthias Hein
openalex +1 more source