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» Learning missing values from summary constraints
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ENDM
2000
174views more  ENDM 2000»
13 years 9 months ago
Hybrid Constraints in Automated Model Synthesis and Model Processing
Both parametric design tasks and analysis tasks of technical systems have a similar problem setting: The structure of the system to be configured or analyzed is defined already. W...
Klaus-Ulrich Leweling, Benno Stein
SDM
2010
SIAM
200views Data Mining» more  SDM 2010»
13 years 11 months ago
Residual Bayesian Co-clustering for Matrix Approximation
In recent years, matrix approximation for missing value prediction has emerged as an important problem in a variety of domains such as recommendation systems, e-commerce and onlin...
Hanhuai Shan, Arindam Banerjee
ISNN
2007
Springer
14 years 4 months ago
A Hierarchical Self-organizing Associative Memory for Machine Learning
This paper proposes novel hierarchical self-organizing associative memory architecture for machine learning. This memory architecture is characterized with sparse and local interco...
Janusz A. Starzyk, Haibo He, Yue Li
ETS
2006
IEEE
114views Hardware» more  ETS 2006»
13 years 9 months ago
From Research Resources to Learning Objects: Process Model and Virtualization Experiences
Typically, most research and academic institutions own and archive a great amount of objects and research related resources that have been produced, used and maintained over long ...
José Luis Sierra, Alfredo Fernández-...
CP
1995
Springer
14 years 1 months ago
Integrating Constraints in an Object-Based Knowledge Representation System
Object-based knowledge representation systems bene t from the declarative power of the object formalism for modeling, organizing and storing large amounts of knowledge. They also ...
Jérôme Gensel