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» Reformulating Constraint Models Using Input Data
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92
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TOG
2002
130views more  TOG 2002»
15 years 2 months ago
Dual contouring of hermite data
This paper describes a new method for contouring a signed grid whose edges are tagged by Hermite data (i.e; exact intersection points and normals). This method avoids the need to ...
Tao Ju, Frank Losasso, Scott Schaefer, Joe D. Warr...
BMCBI
2011
14 years 9 months ago
Multiclass classification of microarray data samples with a reduced number of genes
Background: Multiclass classification of microarray data samples with a reduced number of genes is a rich and challenging problem in Bioinformatics research. The problem gets hard...
Elizabeth Tapia, Leonardo Ornella, Pilar Bulacio, ...
EOR
2006
74views more  EOR 2006»
15 years 2 months ago
A mixed-integer programming approach to multi-class data classification problem
This paper presents a new data classification method based on mixed-integer programming. Traditional approaches that are based on partitioning the data sets into two groups perfor...
Fadime Üney Yüksektepe, Metin Türka...
201
Voted
ICDE
2001
IEEE
121views Database» more  ICDE 2001»
16 years 3 months ago
Model-Based Mediation with Domain Maps
We propose an extension to current view-based mediator systems called model-based mediation, in which views are defined and executed at the level of conceptual models (CMs) rather...
Amarnath Gupta, Bertram Ludäscher, Maryann E....
104
Voted
NPL
2006
85views more  NPL 2006»
15 years 2 months ago
A Neural Model for Context-dependent Sequence Learning
A novel neural network model is described that implements context-dependent learning of complex sequences. The model utilises leaky integrate-and-fire neurons to extract timing inf...
Luc Berthouze, Adriaan G. Tijsseling