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ECML
2003
Springer
13 years 11 months ago
Robust k-DNF Learning via Inductive Belief Merging
A central issue in logical concept induction is the prospect of inconsistency. This problem may arise due to noise in the training data, or because the target concept does not fit...
Frédéric Koriche, Joël Quinquet...
ICIP
2000
IEEE
14 years 8 months ago
Incorporate Support Vector Machines to Content-Based Image Retrieval with Relevant Feedback
By using relevance feedback [6], Content-Based Image Retrieval (CBIR) allows the user to retrieve images interactively. The user can select the most relevant images and provide a ...
Pengyu Hong, Qi Tian, Thomas S. Huang
MHCI
2005
Springer
13 years 12 months ago
Field-based mLearning: who wants what?
The real needs of end users of software technology are often neglected until it is too late. An approach is outlined that puts people before technology, and investigates the real ...
Paul Ryan, Enda Finn
ERCIMDL
2010
Springer
118views Education» more  ERCIMDL 2010»
13 years 7 months ago
Relevance in Technicolor
In this article we propose the concept of relevance criteria profiles, which provide a global view of user behaviour in judging the relevance of retrieved information. We further p...
Ulises Cerviño Beresi, Yunhyong Kim, Dawei ...
WCRE
2010
IEEE
13 years 4 months ago
Immediacy through Interactivity: Online Analysis of Run-time Behavior
—Visualizations of actual run-time data support the comprehension of programs, like examples support the ion of abstract concepts and principles. Unfortunately, the required run-...
Michael Perscheid, Bastian Steinert, Robert Hirsch...