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AUSAI
2003
Springer
14 years 28 days ago
Choosing Learning Algorithms Using Sign Tests with High Replicability
An important task in machine learning is determining which learning algorithm works best for a given data set. When the amount of data is small the same data needs to be used repea...
Remco R. Bouckaert
ICA
2004
Springer
14 years 1 months ago
Minimax Mutual Information Approach for ICA of Complex-Valued Linear Mixtures
Abstract. Recently, the authors developed the Minimax Mutual Information algorithm for linear ICA of real-valued mixtures, which is based on a density estimate stemming from Jaynes...
Jian-Wu Xu, Deniz Erdogmus, Yadunandana N. Rao, Jo...
ISCI
2008
124views more  ISCI 2008»
13 years 7 months ago
A weighted rough set based method developed for class imbalance learning
In this paper, we introduce weights into Pawlak rough set model to balance the class distribution of a data set and develop a weighted rough set based method to deal with the clas...
Jinfu Liu, Qinghua Hu, Daren Yu
ICRA
2010
IEEE
259views Robotics» more  ICRA 2010»
13 years 5 months ago
RANSAC matching: Simultaneous registration and segmentation
The iterative closest points (ICP) algorithm is widely used for ego-motion estimation in robotics, but subject to bias in the presence of outliers. We propose a random sample conse...
Shao-Wen Yang, Chieh-Chih Wang, Chun-Hua Chang
RANLP
2003
13 years 9 months ago
Structured parameter estimation for LFG-DOP
Despite its state-of-the-art performance, the Data Oriented Parsing (DOP) model has been shown to suffer from biased parameter estimation, and the good performance seems more the ...
Mary Hearne, Khalil Sima'an