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» Job aids and performance support: the convergence of learnin...
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IJLT
2006
85views more  IJLT 2006»
13 years 4 months ago
Job aids and performance support: the convergence of learning and work
: Performance support is happening where we work and live. Under a tree and at a park bench, in a submarine, at a parent-teacher meeting, in a cubicle, or on the manufacturing floo...
Allison Rossett, Lisa Schafer
SOFSEM
2010
Springer
14 years 1 months ago
Regret Minimization and Job Scheduling
Regret minimization has proven to be a very powerful tool in both computational learning theory and online algorithms. Regret minimization algorithms can guarantee, for a single de...
Yishay Mansour
PE
2010
Springer
114views Optimization» more  PE 2010»
13 years 3 months ago
Analysis of scheduling policies under correlated job sizes
Correlations in traffic patterns are an important facet of the workloads faced by real systems, and one that has far-reaching consequences on the performance and optimization of t...
Varun Gupta, Michelle Burroughs, Mor Harchol-Balte...
JMLR
2006
131views more  JMLR 2006»
13 years 4 months ago
Incremental Support Vector Learning: Analysis, Implementation and Applications
Incremental Support Vector Machines (SVM) are instrumental in practical applications of online learning. This work focuses on the design and analysis of efficient incremental SVM ...
Pavel Laskov, Christian Gehl, Stefan Krüger, ...
CORR
2006
Springer
101views Education» more  CORR 2006»
13 years 4 months ago
MDL Convergence Speed for Bernoulli Sequences
The Minimum Description Length principle for online sequence estimation/prediction in a proper learning setup is studied. If the underlying model class is discrete, then the total...
Jan Poland, Marcus Hutter