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» Relative Margin Machines
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131
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BMCBI
2006
216views more  BMCBI 2006»
15 years 3 months ago
Machine learning approaches to supporting the identification of photoreceptor-enriched genes based on expression data
Background: Retinal photoreceptors are highly specialised cells, which detect light and are central to mammalian vision. Many retinal diseases occur as a result of inherited dysfu...
Haiying Wang, Huiru Zheng, David Simpson, Francisc...
143
Voted
IJCAI
2007
15 years 5 months ago
Detection of Cognitive States from fMRI Data Using Machine Learning Techniques
Over the past decade functional Magnetic Resonance Imaging (fMRI) has emerged as a powerful technique to locate activity of human brain while engaged in a particular task or cogni...
Vishwajeet Singh, Krishna P. Miyapuram, Raju S. Ba...
157
Voted
BMCBI
2005
251views more  BMCBI 2005»
15 years 3 months ago
Contextual weighting for Support Vector Machines in literature mining: an application to gene versus protein name disambiguation
Background: The ability to distinguish between genes and proteins is essential for understanding biological text. Support Vector Machines (SVMs) have been proven to be very effici...
Tapio Pahikkala, Filip Ginter, Jorma Boberg, Jouni...
126
Voted
ECOI
2010
144views more  ECOI 2010»
15 years 2 months ago
Machine reasoning about anomalous sensor data
We describe a semantic data validation tool that is capable of observing incoming real-time sensor data and performing reasoning against a set of rules specific to the scientific d...
Matt Calder, Robert A. Morris, Francesco Peri
CCA
2009
Springer
15 years 10 months ago
Relativizations of the P =? DNP Question for the BSS Model
We consider the uniform BSS model of computation where the machines can perform additions, multiplications, and tests of the form x ≥ 0. The oracle machines can also check whethe...
Christine Gaßner