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» Neural networks for computational neuroscience
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ISMB
1993
15 years 1 months ago
Protein Structure Prediction: Selecting Salient Features from Large Candidate Pools
Weintroduce a parallel approach, "DT-SELECT," for selecting features used by inductive learning algorithms to predict protein secondary structure. DT-SELECTis able to ra...
Kevin J. Cherkauer, Jude W. Shavlik
CIBCB
2009
IEEE
15 years 26 days ago
Application of machine learning approaches on quantitative structure activity relationships
Machine Learning techniques are successfully applied to establish quantitative relations between chemical structure and biological activity (QSAR), i.e. classify compounds as activ...
Mariusz Butkiewicz, Ralf Mueller, Danilo Selic, Er...
ACTAC
2006
126views more  ACTAC 2006»
14 years 11 months ago
Named Entity Recognition for Hungarian Using Various Machine Learning Algorithms
In this paper we introduce a statistical Named Entity recognizer (NER) system for the Hungarian language. We examined three methods for identifying and disambiguating proper nouns...
Richárd Farkas, György Szarvas, Andr&a...
IJON
2007
96views more  IJON 2007»
14 years 11 months ago
Suppressive effects in visual search: A neurocomputational analysis of preview search
In the real world, visual information is selected over time as well as space, when we prioritise new stimuli for attention. Watson and Humphreys [Visual marking: prioritising sele...
Eirini Mavritsaki, Dietmar Heinke, Glyn W. Humphre...
TNN
2008
78views more  TNN 2008»
14 years 11 months ago
Automatic Relevance Determination for Identifying Thalamic Regions Implicated in Schizophrenia
There have been many theories about and computational models of the schizophrenic disease state. Brain imaging techniques have suggested that abnormalities of the thalamus may con...
Antony Browne, Angela Jakary, S. Vinogradov, Yu Fu...