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» Distributed Case-Based Learning
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104
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ML
2006
ACM
109views Machine Learning» more  ML 2006»
15 years 2 months ago
Cost curves: An improved method for visualizing classifier performance
Abstract This paper introduces cost curves, a graphical technique for visualizing the performance (error rate or expected cost) of 2-class classifiers over the full range of possib...
Chris Drummond, Robert C. Holte
IEEECIT
2010
IEEE
15 years 1 months ago
Scaling the iHMM: Parallelization versus Hadoop
—This paper compares parallel and distributed implementations of an iterative, Gibbs sampling, machine learning algorithm. Distributed implementations run under Hadoop on facilit...
Sebastien Bratieres, Jurgen Van Gael, Andreas Vlac...
MSS
2010
IEEE
88views Hardware» more  MSS 2010»
15 years 1 months ago
Case-based belief formation under ambiguity
In this paper, we consider a decision-maker who tries to learn the distribution of outcomes from previously observed cases. For each observed database of cases the decision-maker ...
Jürgen Eichberger, Ani Guerdjikova
CEC
2009
IEEE
15 years 7 months ago
Parallel BMDA with an aggregation of probability models
—The paper is focused on the problem of aggregation of probability distribution applicable for parallel Bivariate Marginal Distribution Algorithm (pBMDA). A new approach based on...
Jirí Jaros, Josef Schwarz
96
Voted
CARS
2004
15 years 4 months ago
Learning-based pulmonary nodule detection from multislice CT data
An automatic computer-aided detection system is developed for detecting pulmonary nodules from high resolution CT data. The system is based on the concept of machine learning. A ro...
Xiaoguang Lu, Guo-Qing Wei, Jian Zhong Qian, Anil ...