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» Online Ensemble Learning: An Empirical Study
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CHI
1993
ACM
13 years 10 months ago
Reducing the variability of programmers' performance through explained examples
A software tool called EXPLAINER has been developed for helping programmers perform new tasks by exploring previously worked-out examples. EXPLAINER is based on cognitive principl...
David F. Redmiles
IR
2010
13 years 4 months ago
Learning to rank with (a lot of) word features
In this article we present Supervised Semantic Indexing (SSI) which defines a class of nonlinear (quadratic) models that are discriminatively trained to directly map from the word...
Bing Bai, Jason Weston, David Grangier, Ronan Coll...
JMLR
2006
125views more  JMLR 2006»
13 years 6 months ago
Spam Filtering Using Statistical Data Compression Models
Spam filtering poses a special problem in text categorization, of which the defining characteristic is that filters face an active adversary, which constantly attempts to evade fi...
Andrej Bratko, Gordon V. Cormack, Bogdan Filipic, ...
WSDM
2012
ACM
296views Data Mining» more  WSDM 2012»
12 years 1 months ago
Inferring social ties across heterogenous networks
It is well known that different types of social ties have essentially different influence between people. However, users in online social networks rarely categorize their contact...
Jie Tang, Tiancheng Lou, Jon M. Kleinberg
ICADL
2007
Springer
147views Education» more  ICADL 2007»
14 years 15 days ago
Feature Reinforcement Approach to Poly-lingual Text Categorization
With the rapid emergence and proliferation of Internet and the trend of globalization, a tremendous amount of textual documents written in different languages are electronically ac...
Chih-Ping Wei, Huihua Shi, Christopher C. Yang