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» Structured Relation Discovery using Generative Models
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BMCBI
2010
175views more  BMCBI 2010»
14 years 12 months ago
Calibur: a tool for clustering large numbers of protein decoys
Background: Ab initio protein structure prediction methods generate numerous structural candidates, which are referred to as decoys. The decoy with the most number of neighbors of...
Shuai Cheng Li, Yen Kaow Ng
BMCBI
2010
119views more  BMCBI 2010»
14 years 12 months ago
Coherent pipeline for biomarker discovery using mass spectrometry and bioinformatics
Background: Robust biomarkers are needed to improve microbial identification and diagnostics. Proteomics methods based on mass spectrometry can be used for the discovery of novel ...
Ali Al-Shahib, Raju Misra, Nadia Ahmod, Min Fang, ...
ICCV
2005
IEEE
16 years 1 months ago
Efficient Learning of Relational Object Class Models
We present an efficient method for learning part-based object class models from unsegmented images represented as sets of salient features. A model includes parts' appearance...
Aharon Bar-Hillel, Tomer Hertz, Daphna Weinshall
EWHCI
1993
15 years 3 months ago
Model of Utterance and Its Use in Cooperative Response Generation
: A cooperative response model is proposed for interactive intelligent systems that recognizes user intentions and makes cooperative responses. Though many models developed so far ...
Koichi Yamada, Riichiro Mizoguchi, Naoki Harada, A...
EDM
2009
179views Data Mining» more  EDM 2009»
14 years 9 months ago
Learning Factors Transfer Analysis: Using Learning Curve Analysis to Automatically Generate Domain Models
This paper describes a novel method to create a quantitative model of an educational content domain of related practice item-types using learning curves. By using a pairwise test t...
Philip I. Pavlik Jr., Hao Cen, Kenneth R. Koedinge...