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» On learning with dissimilarity functions
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ICML
2008
IEEE
15 years 10 months ago
Active kernel learning
Identifying the appropriate kernel function/matrix for a given dataset is essential to all kernel-based learning techniques. A variety of kernel learning algorithms have been prop...
Steven C. H. Hoi, Rong Jin
ITS
2010
Springer
159views Multimedia» more  ITS 2010»
15 years 2 months ago
Optimizing Story-Based Learning: An Investigation of Student Narrative Profiles
Narrative-centered learning environments offer significant potential for creating effective learning experiences in which students actively participate in engaging story-based prob...
Seung Y. Lee, Bradford W. Mott, James C. Lester
ECTEL
2006
Springer
15 years 1 months ago
Towards a Holistic Personalised Support for Knowledge Sharing in Virtual Learning Communities
Virtual learning communities bring together people from diverse backgrounds and provide the basis for knowledge construction and sharing. Important processes for the community to f...
Styliani Kleanthous, Vania Dimitrova
FOCI
2007
IEEE
15 years 4 months ago
Almost All Learning Machines are Singular
— A learning machine is called singular if its Fisher information matrix is singular. Almost all learning machines used in information processing are singular, for example, layer...
Sumio Watanabe
COLT
2001
Springer
15 years 2 months ago
Robust Learning - Rich and Poor
A class C of recursive functions is called robustly learnable in the sense I (where I is any success criterion of learning) if not only C itself but even all transformed classes Î...
John Case, Sanjay Jain, Frank Stephan, Rolf Wiehag...