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» Learning Rule Representations from Boolean Data
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KDD
2001
ACM
163views Data Mining» more  KDD 2001»
16 years 1 months ago
Learning to recognize brain specific proteins based on low-level features from on-line prediction servers
During the last decade, the area of bioinformatics has produced an overwhelming amount of data, with the recently published draft of the human genome being the most prominent exam...
Henrik Boström, Joakim Cöster, Lars Aske...
ESANN
2007
15 years 2 months ago
Toward a robust 2D spatio-temporal self-organization
Abstract. Several models have been proposed for spatio-temporal selforganization, among which the TOM model by Wiemer [1] is particularly promising. In this paper, we propose to ad...
Thomas Girod, Laurent Bougrain, Frédé...
98
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CIKM
2010
Springer
14 years 11 months ago
Meta-metadata: a metadata semantics language for collection representation applications
Collecting, organizing, and thinking about diverse information resources is the keystone of meaningful digital information experiences, from research to education to leisure. Meta...
Andruid Kerne, Yin Qu, Andrew M. Webb, Sashikanth ...
100
Voted
ICCSA
2003
Springer
15 years 5 months ago
Progressive Curve Representation Based on Reverse Subdivision
Abstract. A progressive curve representation based on reverse subdivision is introduced. This consists of three main components. First, multi-resolution structures for some common ...
Faramarz F. Samavati, Mai Ali Nur, Richard M. Bart...
122
Voted
UM
2009
Springer
15 years 7 months ago
Evaluating Web Based Instructional Models Using Association Rule Mining
Abstract. In this paper we describe an Integrated Development System for Instructional Model for E-learning (INDESIME) to create and to maintain instructional models using adaptive...
Enrique García, Cristóbal Romero, Se...