Results 91 to 100 of about 8,467,026 (293)
Ecography, EarlyView.Insects are the most diverse terrestrial organisms, yet they are underrepresented in large‐scale conservation assessments. To address this gap, the California Insect Barcoding Initiative is developing a publicly accessible, statewide DNA‐barcode reference library for California insects to support scalable surveys, establish baseline biodiversity ...
Austin J. Baker +96 more
wiley +1 more source
Riboswitch Detection Using Profile Hidden Markov Models
BMC Bioinformatics, 2009 Background Riboswitches are a type of noncoding RNA that regulate gene expression by switching from one structural conformation to another on ligand binding. The various classes of riboswitches discovered so far are differentiated by the ligand, which on
Krishnamachari A +4 more
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Propositionalisation of multiple sequence alignments using probabilistic models [PDF]
, 2008 Multiple sequence alignments play a central role in Bioinformatics. Most alignment representations are designed to facilitate knowledge extraction by human experts.
Mutter, Stefan +2 more
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Energy‐Flow Regimes and Their Temporal Transitions in a PV‐Building System
Energy Science &Engineering, EarlyView.Unlike production and consumption, which act as external factors, generated energy flows reflect the system's internal behavior regarding energy allocation at each time step. The combination of self‐consumption, surplus, and import of surplus energy into the power grid characterizes how electricity is routed between the building's local consumption and
Jacek Caban +3 more
wiley +1 more source
Ingeniare: Revista Chilena de Ingeniería, 2007 Este trabajo da a conocer el sistema de desarrollo de software para el diseño y manipulación de modelos ocultos de Markov, denominado HTK. Actualmente, la técnica de modelos ocultos de Markov es la herramienta más efectiva para implementar sistemas ...
Roberto Carrillo Aguilar
doaj
Journal of Forecasting, EarlyView.ABSTRACT This study evaluates whether the relative performance of gross domestic product forecasting models is temporally robust across economies and changing macroeconomic conditions. Using annual real gross domestic product data from the World Bank for 177 separately reported economies and territories, we conduct a common‐vintage pseudo‐out‐of‐sample
Achilleas Tampouris, Chaido Dritsaki
wiley +1 more source
Hidden Markov Models with Generalised Emission Distribution for the Analysis of High-Dimensional, Non-Euclidean Data [PDF]
, 2011 iAbstract Hidden Markov models (HMM) are tremendously popular for the analysis of sequential data, such as biological sequences, speech recognition as well as ges-ture recognition.
Pfundstein, Georg, Georg Pfundstein
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Bayesian Multivariate Two‐Stage Volatility‐Return Models (MTS‐VR)
Journal of Forecasting, EarlyView.ABSTRACT This paper develops a class of models to capture the joint dynamics of asset returns and multivariate volatility. Owing to its two‐stage construction, this class is referred to as the multivariate two‐stage volatility‐return (MTS‐VR) model.
Zhenglyu Huang +2 more
wiley +1 more source
Journal of Electrical Systems and Information Technology, 2017 This paper presents an analytical approach of an offline handwritten Arabic text recognition system. It is based on the Hidden Markov Models (HMM) Toolkit (HTK) without explicit segmentation. The first phase is preprocessing, where the data is introduced
El Moubtahij Hicham +2 more
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State‐Dependent Market (In)Efficiency in Cryptocurrency Markets
Journal of Futures Markets, EarlyView.ABSTRACT This paper develops a meta‐learning framework to test whether cryptocurrency market inefficiency is static or state‐dependent. To resolve competing claims between the Efficient and Adaptive Market Hypotheses (AMH), we construct an adaptive trading strategy using high‐frequency data for 50 major cryptocurrencies.
Sasan Barak +2 more
wiley +1 more source