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ICML
2008
IEEE
15 years 10 months ago
Learning to classify with missing and corrupted features
After a classifier is trained using a machine learning algorithm and put to use in a real world system, it often faces noise which did not appear in the training data. Particularl...
Ofer Dekel, Ohad Shamir
COLT
2008
Springer
14 years 11 months ago
Learning from Collective Behavior
Inspired by longstanding lines of research in sociology and related fields, and by more recent largepopulation human subject experiments on the Internet and the Web, we initiate a...
Michael Kearns, Jennifer Wortman
LWA
2004
14 years 11 months ago
DaMiT: Data Mining lernen und lehren
Das Tutorsystem DaMiT stellt Wissen
Klaus P. Jantke, Gunter Grieser, Steffen Lange, Ma...
ILP
2003
Springer
15 years 3 months ago
Relational IBL in Music with a New Structural Similarity Measure
It is well known that many hard tasks considered in machine learning and data mining can be solved in an rather simple and robust way with an instance- and distance-based approach....
Asmir Tobudic, Gerhard Widmer
CORR
2010
Springer
104views Education» more  CORR 2010»
14 years 5 months ago
Machine Science in Biomedicine: Practicalities, Pitfalls and Potential
Machine Science, or Data-driven Research, is a new and interesting scientific methodology that uses advanced computational techniques to identify, retrieve, classify and analyse da...
Thomas W. Kelsey, W. Hamish B. Wallace