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pro vyhledávání: '"Michael Davy"'
Autor:
John Innes, Vanessa M. Cave, Michael Davy, Lauren Little, Bridgette Farnworth, Joseph R. Waas
Publikováno v:
Animal Behaviour. 168:149-157
Using information from multiple predation cues may allow prey to accurately assess predation risk and correlate antipredator responses with the intensity of the threat. We assessed whether combined unimodal cues would enhance antipredator behaviour i
Autor:
Guido Vanherle, Bart Van Meerbeek, Kenneth Walter Michael Davy, Paul Lambrechts, Roberto Labella
Publikováno v:
European Journal of Oral Sciences. 106:816-824
Polymerisation shrinkage is widely recognised as a major drawback of resin based dental restoratives. Bis-GMA is often employed as the principal dimethacrylate monomer. Due to its high viscosity, Bis-GMA is normally mixed with large proportions of lo
Autor:
Paraic Sheridan, Adam Bermingham, Paul Ferguson, Neil O'Hare, Alan F. Smeaton, Michael Davy, Cathal Gurrin
Publikováno v:
Proceedings of the 1st international CIKM workshop on Topic-sentiment analysis for mass opinion.
While most work in sentiment analysis in the financial domain has focused on the use of content from traditional finance news, in this work we concentrate on more subjective sources of information, blogs. We aim to automatically determine the sentime
Autor:
Michael Davy, Saturnino Luz
Publikováno v:
ICDM Workshops
Error-reduction sampling (ERS) is a high performing (but computationally expensive) query selection strategy for active learning. Subset optimisation has been proposed to reduce computational expense by applying ERS to only a subset of examples from
Autor:
Saturnino Luz, Michael Davy
Publikováno v:
ICMLA
Dimensionality reduction techniques are commonly used in text categorisation problems to improve training and classification efficiency as well as to avoid overfitting. The best performing dimensionality reduction techniques for text categorisation a
Autor:
Michael Davy, Saturnino Luz
Publikováno v:
Lecture Notes in Computer Science ISBN: 9783540714941
ECIR
ECIR
Automated text categorisation systems learn a generalised hypothesis from large numbers of labelled examples. However, in many domains labelled data is scarce and expensive to obtain. Active learning is a technique that has shown to reduce the amount
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::346ac35218249d07375934f07fbddc95
https://doi.org/10.1007/978-3-540-71496-5_71
https://doi.org/10.1007/978-3-540-71496-5_71
Publikováno v:
Journal of Dentistry. 10:254-264
The aim of the study was to find a denture-base acrylic polymer that is radio-opaque, in order to enable easy recovery of lost fragments from patients. A polymer was needed that gelled with methyl methacrylate and also contained a chemically bonded X