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» Combinations of Weak Classifiers
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IS
2008
13 years 8 months ago
Mining relational data from text: From strictly supervised to weakly supervised learning
This paper approaches the relation classification problem in information extraction framework with different machine learning strategies, from strictly supervised to weakly superv...
Zhu Zhang
ECAL
2001
Springer
14 years 1 months ago
Passing the ALife Test: Activity Statistics Classify Evolution in Geb as Unbounded
Bedau and Packard’s evolutionary activity statistics [1, 2] are used to classify the evolutionary dynamics in Geb [3, 4], a system designed to verify and extend theories behind t...
Alastair Channon
ANNPR
2008
Springer
13 years 10 months ago
Combining Methods for Dynamic Multiple Classifier Systems
Most of what we know about multiple classifier systems is based on empirical findings, rather than theoretical results. Although there exist some theoretical results for simple and...
Amber Tomas
ICML
2006
IEEE
14 years 9 months ago
Using query-specific variance estimates to combine Bayesian classifiers
Many of today's best classification results are obtained by combining the responses of a set of base classifiers to produce an answer for the query. This paper explores a nov...
Chi-Hoon Lee, Russell Greiner, Shaojun Wang
WWW
2005
ACM
14 years 9 months ago
Boosting SVM classifiers by ensemble
By far, the support vector machines (SVM) achieve the state-of-theart performance for the text classification (TC) tasks. Due to the complexity of the TC problems, it becomes a ch...
Yan-Shi Dong, Ke-Song Han