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ICML
2000
IEEE
16 years 7 months ago
Learning Subjective Functions with Large Margins
In manyoptimization and decision problems the objective function can be expressed as a linear combinationof competingcriteria, the weights of whichspecify the relative importanceo...
Claude-Nicolas Fiechter, Seth Rogers
OHS
2001
Springer
15 years 10 months ago
Developing Adaptive Internet Based Courses with the Authoring System NetCoach
Developing adaptive internet based learning courses usually requires a lot of programming efforts to provide session management, keeping track of the learners current state, and ad...
Gerhard Weber, Hans-Christian Kuhl, Stephan Weibel...
SDM
2003
SIAM
123views Data Mining» more  SDM 2003»
15 years 7 months ago
Fast Online SVD Revisions for Lightweight Recommender Systems
The singular value decomposition (SVD) is fundamental to many data modeling/mining algorithms, but SVD algorithms typically have quadratic complexity and require random access to ...
Matthew Brand
RAID
2007
Springer
16 years 8 days ago
"Out-of-the-Box" Monitoring of VM-Based High-Interaction Honeypots
Honeypot has been an invaluable tool for the detection and analysis of network-based attacks by either human intruders or automated malware in the wild. The insights obtained by de...
Xuxian Jiang, Xinyuan Wang
ATAL
2009
Springer
16 years 23 days ago
MABLE: a framework for learning from natural instruction
The Modular Architecture for Bootstrapped Learning Experiments (MABLE) is a system that is being developed to allow humans to teach computers in the most natural manner possible: ...
Roger Mailler, Daniel Bryce, Jiaying Shen, Ciaran ...