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» Two Algorithms for Inducing Causal Models from Data
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FUZZIEEE
2007
IEEE
14 years 2 months ago
Using the OLS Algorithm to Build Interpretable Rule Bases: An Application to a Depollution Problem
— One of the main advantages of fuzzy modeling is the ability to yield interpretable results. Amongst these modeling methods, the OLS algorithm is a mathematically robust techniq...
Sébastien Destercke, Serge Guillaume, Brigi...
FLAIRS
2008
13 years 10 months ago
Building Useful Models from Imbalanced Data with Sampling and Boosting
Building useful classification models can be a challenging endeavor, especially when training data is imbalanced. Class imbalance presents a problem when traditional classificatio...
Chris Seiffert, Taghi M. Khoshgoftaar, Jason Van H...
UAI
2004
13 years 9 months ago
Blind Construction of Optimal Nonlinear Recursive Predictors for Discrete Sequences
We present a new method for nonlinear prediction of discrete random sequences under minimal structural assumptions. We give a mathematical construction for optimal predictors of s...
Cosma Rohilla Shalizi, Kristina Lisa Shalizi
HAIS
2010
Springer
14 years 1 months ago
On the Use of a Hybrid Approach to Contrast Endmember Induction Algorithms
Abstract. In remote sensing hyperspectral image processing, identifying the constituent spectra (endmembers) of the materials in the image is a key procedure for further analysis. ...
Miguel A. Veganzones, Carmen Hernández
ICRA
1998
IEEE
121views Robotics» more  ICRA 1998»
14 years 21 days ago
Registering, Integrating and Building CAD Models from Range Data
In this paper, we introduce two methods for the registration of multiple range images when a prior estimate of the transformationbetween views is not available and the overlap bet...
Ruigang Yang, Peter K. Allen