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» Reformulating Constraint Models Using Input Data
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IRI
2005
IEEE
15 years 8 months ago
Issues of hierarchical heterogeneous modeling in component reusability
Heterogeneous systems are systems that obey different functioning laws. For instance, during the design of embedded systems, it is generally necessary to study both the controller...
Aimé Mokhoo Mbobi, Frédéric B...
PODS
2012
ACM
240views Database» more  PODS 2012»
13 years 5 months ago
Approximate computation and implicit regularization for very large-scale data analysis
Database theory and database practice are typically the domain of computer scientists who adopt what may be termed an algorithmic perspective on their data. This perspective is ve...
Michael W. Mahoney
UAI
2003
15 years 4 months ago
Learning Generative Models of Similarity Matrices
Recently, spectral clustering (a.k.a. normalized graph cut) techniques have become popular for their potential ability at finding irregularlyshaped clusters in data. The input to...
Rómer Rosales, Brendan J. Frey
CSB
2005
IEEE
166views Bioinformatics» more  CSB 2005»
15 years 8 months ago
Artificial Neural Networks to Predict Daylily Hybrids
Artificial Neural Networks (ANN) were employed to predict daylily (Hemerocalli spp.) hybrids from known characteristics of parents used in hybridization. Features such as height, ...
Ramana M. Gosukonda, Masoud Naghedolfeizi, Johnny ...
ICMCS
2009
IEEE
104views Multimedia» more  ICMCS 2009»
15 years 19 days ago
A variational multi-view learning framework and its application to image segmentation
The paper presents a novel multi-view learning framework based on variational inference. We formulate the framework as a graph representation in form of graph factorization: the g...
Zhenglong Li, Qingshan Liu, Hanqing Lu