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ICML
2008
IEEE
16 years 7 months ago
Deep learning via semi-supervised embedding
We show how nonlinear embedding algorithms popular for use with shallow semisupervised learning techniques such as kernel methods can be applied to deep multilayer architectures, ...
Frédéric Ratle, Jason Weston, Ronan ...
EDM
2010
152views Data Mining» more  EDM 2010»
15 years 8 months ago
Peer Production of Online Learning Resources: A Social Network Analysis
This paper describes methods for collecting user activity data in a peer production educational system, the Instructional Architect (IA), and then takes a social network perspectiv...
Beijie Xu, Mimi Recker
200
Voted
PKDD
2010
Springer
152views Data Mining» more  PKDD 2010»
15 years 5 months ago
Online Knowledge-Based Support Vector Machines
Prior knowledge, in the form of simple advice rules, can greatly speed up convergence in learning algorithms. Online learning methods predict the label of the current point and the...
Gautam Kunapuli, Kristin P. Bennett, Amina Shabbee...
229
Voted
JCDL
2006
ACM
161views Education» more  JCDL 2006»
16 years 1 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...
211
Voted
CATE
2004
190views Education» more  CATE 2004»
15 years 8 months ago
Enhancing Online Learning Performance: An Application of Data Mining Methods
Recently web-based educational systems collect vast amounts of data on user patterns, and data mining methods can be applied to these databases to discover interesting associations...
Behrouz Minaei-Bidgoli, Gerd Kortemeyer, William F...