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» Data Aggregation Sets in Adaptive Data Model
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ICONIP
2008
15 years 8 months ago
Improved Mass Spectrometry Peak Intensity Prediction by Adaptive Feature Weighting
Mass spectrometry (MS) is a key technique for the analysis and identification of proteins. A prediction of spectrum peak intensities from pre computed molecular features would pave...
Alexandra Scherbart, Wiebke Timm, Sebastian Bö...
CORR
2008
Springer
110views Education» more  CORR 2008»
15 years 7 months ago
Justifications for Logic Programs under Answer Set Semantics
The paper introduces the notion of off-line justification for Answer Set Programming (ASP). Justifications provide a graph-based explanation of the truth value of an atom w.r.t. a ...
Enrico Pontelli, Tran Cao Son, Omar El-Khatib
ANNPR
2008
Springer
15 years 8 months ago
Supervised Incremental Learning with the Fuzzy ARTMAP Neural Network
Abstract. Automatic pattern classifiers that allow for on-line incremental learning can adapt internal class models efficiently in response to new information without retraining fr...
Jean-François Connolly, Eric Granger, Rober...
TVCG
2002
132views more  TVCG 2002»
15 years 6 months ago
Hierarchical Pixel Bar Charts
Simple presentation graphics are intuitive and easy-to-use, but only show highly aggregated data. Bar charts, for example, only show a rather small number of data values and x-y-pl...
Daniel A. Keim, Ming C. Hao, Umeshwar Dayal
ICTAI
2009
IEEE
16 years 1 months ago
FlockStream: A Bio-Inspired Algorithm for Clustering Evolving Data Streams
Existing density-based data stream clustering algorithms use a two-phase scheme approach consisting of an online phase, in which raw data is processed to gather summary statistics...
Agostino Forestiero, Clara Pizzuti, Giandomenico S...