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» Combining Gaussian Mixture Models
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UAI
2008
13 years 9 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
13 years 11 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»
12 years 3 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
14 years 8 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
13 years 12 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