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SAICSIT
2010
ACM
15 years 2 months ago
Determining the user profile for an adaptable training platform
Adaptive computer-based training systems aim to enhance the learning experience by personalising the presentation and content delivery according to the preferences of each particu...
Mardé Greeff, Quentin Williams, Roné...
ICML
2005
IEEE
16 years 5 months ago
Learning as search optimization: approximate large margin methods for structured prediction
Mappings to structured output spaces (strings, trees, partitions, etc.) are typically learned using extensions of classification algorithms to simple graphical structures (eg., li...
Daniel Marcu, Hal Daumé III
ICDM
2007
IEEE
138views Data Mining» more  ICDM 2007»
15 years 11 months ago
Bandit-Based Algorithms for Budgeted Learning
We explore the problem of budgeted machine learning, in which the learning algorithm has free access to the training examples’ labels but has to pay for each attribute that is s...
Kun Deng, Chris Bourke, Stephen D. Scott, Julie Su...
SSPR
2004
Springer
15 years 10 months ago
Finding Clusters and Components by Unsupervised Learning
We present a tutorial survey on some recent approaches to unsupervised machine learning in the context of statistical pattern recognition. In statistical PR, there are two classica...
Erkki Oja
AAAI
2010
15 years 6 months ago
Interactive Learning Using Manifold Geometry
We present an interactive learning method that enables a user to iteratively refine a regression model. The user examines the output of the model, visualized as the vertical axis ...
Eric Eaton, Gary Holness, Daniel McFarlane