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ICANN
2010
Springer
15 years 5 months ago
Kernel-Based Learning from Infinite Dimensional 2-Way Tensors
Abstract. In this paper we elaborate on a kernel extension to tensorbased data analysis. The proposed ideas find applications in supervised learning problems where input data have ...
Marco Signoretto, Lieven De Lathauwer, Johan A. K....
ICA
2010
Springer
15 years 5 months ago
Use of Prior Knowledge in a Non-Gaussian Method for Learning Linear Structural Equation Models
Abstract. We discuss causal structure learning based on linear structural equation models. Conventional learning methods most often assume Gaussianity and create many indistinguish...
Takanori Inazumi, Shohei Shimizu, Takashi Washio
IJCNN
2000
IEEE
15 years 9 months ago
A SOM Based Cluster Visualization and Its Application for False Coloring
The self-organizing map SOM is widely used as a data visualization method in various engineering applications. It performs a non-linear mapping from a high-dimensional data spac...
Johan Himberg
JMLR
2010
134views more  JMLR 2010»
14 years 11 months ago
Estimation of a Structural Vector Autoregression Model Using Non-Gaussianity
Analysis of causal effects between continuous-valued variables typically uses either autoregressive models or structural equation models with instantaneous effects. Estimation of ...
Aapo Hyvärinen, Kun Zhang, Shohei Shimizu, Pa...
SPIRE
2005
Springer
15 years 10 months ago
A Multiple Graph Layers Model with Application to RNA Secondary Structures Comparison
Abstract. We introduce a new data structure, called MiGaL for “Multiple Graph Layers”, that is composed of various graphs linked together ions of abstraction/refinement. The n...
Julien Allali, Marie-France Sagot