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ICML
2004
IEEE
14 years 11 months ago
Learning Bayesian network classifiers by maximizing conditional likelihood
Bayesian networks are a powerful probabilistic representation, and their use for classification has received considerable attention. However, they tend to perform poorly when lear...
Daniel Grossman, Pedro Domingos
ICML
2001
IEEE
14 years 11 months ago
Inducing Partially-Defined Instances with Evolutionary Algorithms
This paper addresses the issue of reducing the storage requirements on Instance-Based Learning algorithms. Algorithms proposed by other researches use heuristics to prune instance...
Josep Maria Garrell i Guiu, Xavier Llorà
ICML
2000
IEEE
14 years 11 months ago
Exploiting the Cost (In)sensitivity of Decision Tree Splitting Criteria
This paper investigates how the splitting criteria and pruning methods of decision tree learning algorithms are influenced by misclassification costs or changes to the class distr...
Chris Drummond, Robert C. Holte
ASPLOS
2009
ACM
14 years 11 months ago
Early experience with a commercial hardware transactional memory implementation
We report on our experience with the hardware transactional memory (HTM) feature of two pre-production revisions of a new commercial multicore processor. Our experience includes a...
David Dice, Yossi Lev, Mark Moir, Daniel Nussbaum
CHI
2003
ACM
14 years 10 months ago
Dating example for information architecture
This paper provides the documented explanations of our submitted poster to CHI 2003 about the process of Information Architecture (IA). The general theme of CHI 2003 was to delive...
Ray Henderson, TaRan Wilson, Miyuki Shimbo