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BMCBI
2008
165views more  BMCBI 2008»
15 years 4 months ago
Peak intensity prediction in MALDI-TOF mass spectrometry: A machine learning study to support quantitative proteomics
Background: Mass spectrometry is a key technique in proteomics and can be used to analyze complex samples quickly. One key problem with the mass spectrometric analysis of peptides...
Wiebke Timm, Alexandra Scherbart, Sebastian Bö...
CORR
2008
Springer
193views Education» more  CORR 2008»
15 years 4 months ago
Faster and better: a machine learning approach to corner detection
The repeatability and efficiency of a corner detector determines how likely it is to be useful in a real-world application. The repeatability is importand because the same scene vi...
Edward Rosten, Reid Porter, Tom Drummond
IJCNLP
2005
Springer
15 years 9 months ago
A Machine Learning Approach to Sentence Ordering for Multidocument Summarization and Its Evaluation
Ordering information is a difficult but a important task for natural language generation applications. A wrong order of information not only makes it difficult to understand, but a...
Danushka Bollegala, Naoaki Okazaki, Mitsuru Ishizu...
CLEF
2010
Springer
15 years 5 months ago
Wikipedia Vandalism Detection Through Machine Learning: Feature Review and New Proposals - Lab Report for PAN at CLEF 2010
Wikipedia is an online encyclopedia that anyone can edit. In this open model, some people edits with the intent of harming the integrity of Wikipedia. This is known as vandalism. W...
Santiago Moisés Mola-Velasco
ICMLA
2008
15 years 5 months ago
Tumor Targeting for Lung Cancer Radiotherapy Using Machine Learning Techniques
Accurate lung tumor targeting in real time plays a fundamental role in image-guide radiotherapy of lung cancers. Precise tumor targeting is required for both respiratory gating an...
Tong Lin, Laura Cervino, Xiaoli Tang, Nuno Vasconc...