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ISBI
2009
IEEE
14 years 1 months ago
Instance-Based Generative Biological Shape Modeling
Biological shape modeling is an essential task that is required for systems biology efforts to simulate complex cell behaviors. Statistical learning methods have been used to buil...
Tao Peng, Wei Wang, Gustavo K. Rohde, Robert F. Mu...
ICECCS
2006
IEEE
140views Hardware» more  ICECCS 2006»
14 years 1 months ago
Inference of Design Pattern Instances in UML models via Logic Programming
This paper formalizes the notion of a design model structurally conforming to a design pattern by representing the model as a logic program whilst the pattern as a query. The conf...
Dae-Kyoo Kim, Lunjin Lu
JMLR
2010
107views more  JMLR 2010»
13 years 1 months ago
Learning Instance-Specific Predictive Models
This paper introduces a Bayesian algorithm for constructing predictive models from data that are optimized to predict a target variable well for a particular instance. This algori...
Shyam Visweswaran, Gregory F. Cooper
COSIT
2007
Springer
103views GIS» more  COSIT 2007»
13 years 8 months ago
Scale-Dependent Simplification of 3D Building Models Based on Cell Decomposition and Primitive Instancing
Abstract. The paper proposes a novel approach for a scale-dependent geometric simplification of 3D building models that are an integral part of virtual cities. In contrast to real-...
Martin Kada
ECMDAFA
2009
Springer
109views Hardware» more  ECMDAFA 2009»
14 years 1 months ago
Uniform Random Generation of Huge Metamodel Instances
The size and the number of models is drastically increasing, preventing organizations from fully exploiting Model Driven Engineering benefits. Regarding this problem of scalabilit...
Alix Mougenot, Alexis Darrasse, Xavier Blanc, Mich...