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» Embedding Heterogeneous Data Using Statistical Models
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ACML
2009
Springer
14 years 2 months ago
Linear Time Model Selection for Mixture of Heterogeneous Components
Abstract: Our main contribution is to propose a novel model selection methodology, expectation minimization of information criterion (EMIC). EMIC makes a significant impact on the...
Ryohei Fujimaki, Satoshi Morinaga, Michinari Momma...
ECML
2004
Springer
14 years 1 months ago
SWITCH: A Novel Approach to Ensemble Learning for Heterogeneous Data
The standard framework of machine learning problems assumes that the available data is independent and identically distributed (i.i.d.). However, in some applications such as image...
Rong Jin, Huan Liu
DSD
2005
IEEE
116views Hardware» more  DSD 2005»
14 years 1 months ago
Validation of Embedded Systems Using Formal Method Aided Simulation
This paper proposes a validation approach, based on simulation, which addresses problems related to both state space explosion of formal methods and low coverage of informal metho...
Daniel Karlsson, Petru Eles, Zebo Peng
CGI
1999
IEEE
13 years 12 months ago
A Shape-Preserving Data Embedding Algorithm for NURBS Curves and Surfaces
Existing data embedding algorithms for polygonal meshes and their attributes can't be applied to the majority of (geometric) computer aided design (CAD) applications, for two...
Ryutarou Ohbuchi, Hiroshi Masuda, Masaki Aono
DBPL
2009
Springer
144views Database» more  DBPL 2009»
14 years 2 months ago
General Database Statistics Using Entropy Maximization
Abstract. We propose a framework in which query sizes can be estimated from arbitrary statistical assertions on the data. In its most general form, a statistical assertion states t...
Raghav Kaushik, Christopher Ré, Dan Suciu