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ICML
2000
IEEE
16 years 4 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
132
Voted
OHS
2001
Springer
15 years 8 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 5 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
128
Voted
RAID
2007
Springer
15 years 10 months 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
131
Voted
ATAL
2009
Springer
15 years 10 months 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 ...