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JISE
2010
144views more  JISE 2010»
14 years 11 months ago
Variant Methods of Reduced Set Selection for Reduced Support Vector Machines
In dealing with large datasets the reduced support vector machine (RSVM) was proposed for the practical objective to overcome the computational difficulties as well as to reduce t...
Li-Jen Chien, Chien-Chung Chang, Yuh-Jye Lee
JMLR
2010
152views more  JMLR 2010»
14 years 11 months ago
The SHOGUN Machine Learning Toolbox
We have developed a machine learning toolbox, called SHOGUN, which is designed for unified large-scale learning for a broad range of feature types and learning settings. It offers...
Sören Sonnenburg, Gunnar Rätsch, Sebasti...
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...
JMLR
2010
191views more  JMLR 2010»
14 years 11 months ago
Noise-contrastive estimation: A new estimation principle for unnormalized statistical models
We present a new estimation principle for parameterized statistical models. The idea is to perform nonlinear logistic regression to discriminate between the observed data and some...
Michael Gutmann, Aapo Hyvärinen
KI
2010
Springer
14 years 11 months ago
Lifelong Map Learning for Graph-based SLAM in Static Environments
In this paper, we address the problem of lifelong map learning in static environments with mobile robots using the graph-based formulation of the simultaneous localization and mapp...
Henrik Kretzschmar, Giorgio Grisetti, Cyrill Stach...
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