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» An Overview of Associative Classifiers
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SIGDIAL
2010
14 years 7 months ago
Using entity features to classify implicit discourse relations
We report results on predicting the sense of implicit discourse relations between adjacent sentences in text. Our investigation concentrates on the association between discourse r...
Annie Louis, Aravind K. Joshi, Rashmi Prasad, Ani ...
BMCBI
2010
114views more  BMCBI 2010»
14 years 9 months ago
An integrative modular approach to systematically predict gene-phenotype associations
Background: Complex human diseases are often caused by multiple mutations, each of which contributes only a minor effect to the disease phenotype. To study the basis for these com...
Michael R. Mehan, Juan Nunez-Iglesias, Chao Dai, M...
BMCBI
2008
110views more  BMCBI 2008»
14 years 9 months ago
Predikin and PredikinDB: a computational framework for the prediction of protein kinase peptide specificity and an associated da
Background: We have previously described an approach to predicting the substrate specificity of serine-threonine protein kinases. The method, named Predikin, identifies key conser...
Neil F. W. Saunders, Ross I. Brinkworth, Thomas Hu...
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JOCN
2010
79views more  JOCN 2010»
14 years 4 months ago
Neural Activity in the Hippocampus and Perirhinal Cortex during Encoding Is Associated with the Durability of Episodic Memory
Studies examining medial temporal lobe (MTL) involvement in memory formation typically assess memory performance after a single, short delay. Thus, the relationship between MTL en...
Valerie A. Carr, Indre V. Viskontas, Stephen A. En...
KDD
2010
ACM
235views Data Mining» more  KDD 2010»
15 years 1 months ago
Direct mining of discriminative patterns for classifying uncertain data
Classification is one of the most essential tasks in data mining. Unlike other methods, associative classification tries to find all the frequent patterns existing in the input...
Chuancong Gao, Jianyong Wang