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ICTAI
2005
IEEE
13 years 11 months ago
ACE: An Aggressive Classifier Ensemble with Error Detection, Correction, and Cleansing
Learning from noisy data is a challenging and reality issue for real-world data mining applications. Common practices include data cleansing, error detection and classifier ensemb...
Yan Zhang, Xingquan Zhu, Xindong Wu, Jeffrey P. Bo...
FLAIRS
2007
13 years 8 months ago
Explaining Task Processing in Cognitive Assistants that Learn
As personal assistant software matures and assumes more autonomous control of its users’ activities, it becomes more critical that this software can explain its task processing....
Deborah L. McGuinness, Alyssa Glass, Michael Wolve...
TARK
2009
Springer
14 years 14 days ago
Contractual traps
In numerous economic scenarios, contracting parties may not have a clear picture of all the relevant aspects. While confronted with these unawareness issues, the strategic decisio...
Ying-Ju Chen, Xiaojian Zhao
ITS
1998
Springer
107views Multimedia» more  ITS 1998»
13 years 10 months ago
Toward a Unification of Human-Computer Learning and Tutoring
We define a learning tutor as being an intelligent agent that learns from human tutors and then tutors human learners. The notion of a learning tutor provides a conceptual framewor...
Henry Hamburger, Gheorghe Tecuci
JCDL
2006
ACM
161views Education» more  JCDL 2006»
13 years 12 months ago
Learning metadata from the evidence in an on-line citation matching scheme
Citation matching, or the automatic grouping of bibliographic references that refer to the same document, is a data management problem faced by automatic digital libraries for sci...
Isaac G. Councill, Huajing Li, Ziming Zhuang, Sand...