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» Two Algorithms for Inducing Causal Models from Data
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FUZZIEEE
2007
IEEE
15 years 9 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
15 years 5 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...
116
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UAI
2004
15 years 4 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
15 years 8 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»
15 years 7 months 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