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» Combining and selecting characteristics of information use
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IDA
2007
Springer
15 years 5 months ago
Combining Bagging and Random Subspaces to Create Better Ensembles
Random forests are one of the best performing methods for constructing ensembles. They derive their strength from two aspects: using random subsamples of the training data (as in b...
Pance Panov, Saso Dzeroski
ICANN
2005
Springer
15 years 5 months ago
Mutual Information and k-Nearest Neighbors Approximator for Time Series Prediction
This paper presents a method that combines Mutual Information and k-Nearest Neighbors approximator for time series prediction. Mutual Information is used for input selection. K-Nea...
Antti Sorjamaa, Jin Hao, Amaury Lendasse
ACL
2001
15 years 1 months ago
Producing Biographical Summaries: Combining Linguistic Knowledge with Corpus Statistics
We describe a biographical multidocument summarizer that summarizes information about people described in the news. The summarizer uses corpus statistics along with linguistic kno...
Barry Schiffman, Inderjeet Mani, Kristian J. Conce...
SIGIR
2004
ACM
15 years 5 months ago
Federated Search of Text-Based Digital Libraries in Hierarchical Peer-to-Peer Networks
Abstract. Peer-to-peer architectures are a potentially powerful model for developing large-scale networks of text-based digital libraries, but peer-to-peer networks have so far pro...
Jie Lu, Jamie Callan
QSIC
2007
IEEE
15 years 6 months ago
Learning Effective Oracle Comparator Combinations for Web Applications
Web application testers need automated, effective approaches to validate the test results of complex, evolving web applications. In previous work, we developed a suite of automate...
Sara Sprenkle, Emily Hill, Lori L. Pollock