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» Active Learning in the Non-realizable Case
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AAAI
2010
13 years 11 months ago
G-Optimal Design with Laplacian Regularization
In many real world applications, labeled data are usually expensive to get, while there may be a large amount of unlabeled data. To reduce the labeling cost, active learning attem...
Chun Chen, Zhengguang Chen, Jiajun Bu, Can Wang, L...
SPATIALCOGNITION
2000
Springer
14 years 1 months ago
Influences of Context on Memory for Routes
Possible influences of contexts on memory for routes are investigated. Route knowledge was established by learning a route which was presented on a computer screen. Activation of k...
Sabine Schumacher, Karl Friedrich Wender, Rainer R...
ALT
2010
Springer
13 years 11 months ago
Consistency of Feature Markov Processes
We are studying long term sequence prediction (forecasting). We approach this by investigating criteria for choosing a compact useful state representation. The state is supposed t...
Peter Sunehag, Marcus Hutter
VVEIS
2008
13 years 11 months ago
The Linear Conditional Probability Matrix Generator for IT Governance Performance Prediction
The goal of IT governance is not only to achieve internal efficiency in an IT organization, but also to support IT's role as a business enabler. The latter is here denoted IT ...
Mårten Simonsson, Robert Lagerström, Po...
AH
2006
Springer
13 years 11 months ago
Dynamic Content Discovery, Harvesting and Delivery, from Open Corpus Sources, for Adaptive Systems
Personalised elearning is being heralded as one of the grand challenges of next generation learning systems, in particular, its ability to support greater effectiveness, efficiency...
Séamus Lawless, Vincent Wade