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» Combining Gaussian Mixture Models
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UAI
2008
14 years 11 months ago
Causal discovery of linear acyclic models with arbitrary distributions
An important task in data analysis is the discovery of causal relationships between observed variables. For continuous-valued data, linear acyclic causal models are commonly used ...
Patrik O. Hoyer, Aapo Hyvärinen, Richard Sche...
FUZZIEEE
2007
IEEE
15 years 1 months ago
Evolving Single- and Multi-Model Fuzzy Classifiers with FLEXFIS-Class
Abstract-- In this paper a new method for training singlemodel and multi-model fuzzy classifiers incrementally and adaptively is proposed, which is called FLEXFIS-Class. The evolvi...
Edwin Lughofer, Plamen P. Angelov, Xiaowei Zhou
CORR
2012
Springer
187views Education» more  CORR 2012»
13 years 5 months ago
Sequential Inference for Latent Force Models
Latent force models (LFMs) are hybrid models combining mechanistic principles with non-parametric components. In this article, we shall show how LFMs can be equivalently formulate...
Jouni Hartikainen, Simo Särkkä
MICCAI
2005
Springer
15 years 10 months ago
2D and 3D Shape Based Segmentation Using Deformable Models
A novel shape based segmentation approach is proposed by modifying the external energy component of a deformable model. The proposed external energy component depends not only on t...
Ayman El-Baz, Seniha Esen Yuksel, Hongjian Shi, Al...
ISSTA
1998
ACM
15 years 2 months ago
Verifying Systems with Integer Constraints and Boolean Predicates: A Composite Approach
Symbolic model checking has proved highly successful for large nite-state systems, in which states can be compactly encoded using binary decision diagrams (BDDs) or their variants...
Tevfik Bultan, Richard Gerber, Christopher League