Results 161 to 170 of about 437,723 (274)
Semiautomatic tumor segmentation with multimodal images in a conditional random field framework. [PDF]
J Med Imaging (Bellingham), 2016 Hu YC, Grossberg M, Mageras G.
europepmc +1 more source
Conditioned Stochastic Processes for Conditional Random Fields
Conditioned Stochastic Processes for Conditional Random Fieldsidentifier:oai:t2r2.star.titech.ac.jp ...
openaire
Testing the Marketing Performance of German Wheat Farmers
Agribusiness, EarlyView.ABSTRACT This paper analyses the marketing performance of wheat farmers in Germany. Wheat sales data from 465 individual farms over a 12‐year period are used to test against different market benchmarks. Market benchmarks are constructed by simulating passive trading agents using regional wheat prices.
Franziska Potts, Jens‐Peter Loy
wiley +1 more source
Agribusiness, EarlyView.ABSTRACT Market‐based solutions are increasingly tested to address aflatoxin issues in peanuts in developing countries. Although previous studies have found that Haitian grocery store shoppers are willing to pay a 21% premium for peanut butter with levels of aflatoxin that meet international standards, no information is available for the much larger ...
Phendy Jacques +2 more
wiley +1 more source
Conditional Random Field (CRF)-Boosting: Constructing a Robust Online Hybrid Boosting Multiple Object Tracker Facilitated by CRF Learning. [PDF]
Sensors (Basel), 2017 Yang E, Gwak J, Jeon M.
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Consumer Preferences for Craft Beer: The Interplay of Localness and Advertising Language
Agribusiness, EarlyView.ABSTRACT This study explores the influence of the language of the label, origin of production, and origin of brewing ingredients on Croatian consumers' preferences and willingness to pay for organic craft beer. Employing an online survey and a choice experiment among 223 Croatian alcohol consumers, we find that while there's a willingness to pay a ...
Marija Cerjak +2 more
wiley +1 more source
Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution
Advanced Intelligent Discovery, EarlyView.Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren +6 more
wiley +1 more source
Advanced Intelligent Discovery, EarlyView.Feature selection combined with machine learning and high‐throughput experimentation enables efficient handling of high‐dimensional datasets in emerging photovoltaics. This approach accelerates material discovery, improves process optimization, and strengthens stability prediction, while overcoming challenges in data quality and model scalability to ...
Jiyun Zhang +5 more
wiley +1 more source
Prediction of protein-RNA residue-base contacts using two-dimensional conditional random field with the lasso. [PDF]
BMC Syst Biol, 2013 Hayashida M, Kamada M, Song J, Akutsu T.
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Advanced Intelligent Discovery, EarlyView.Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley +1 more source