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ICML
2006
IEEE
16 years 20 days ago
Autonomous shaping: knowledge transfer in reinforcement learning
We introduce the use of learned shaping rewards in reinforcement learning tasks, where an agent uses prior experience on a sequence of tasks to learn a portable predictor that est...
George Konidaris, Andrew G. Barto
ICML
2009
IEEE
15 years 6 months ago
Learning linear dynamical systems without sequence information
Virtually all methods of learning dynamic systems from data start from the same basic assumption: that the learning algorithm will be provided with a sequence, or trajectory, of d...
Tzu-Kuo Huang, Jeff Schneider
ICDAR
2009
IEEE
15 years 6 months ago
Fast Incremental Learning Strategy Driven by Confusion Reject for Online Handwriting Recognition
In this paper, we present a new incremental learning strategy for handwritten character recognition systems. This learning strategy enables the recognition system to learn “rapi...
Abdullah Almaksour, Éric Anquetil
ICDM
2006
IEEE
182views Data Mining» more  ICDM 2006»
15 years 5 months ago
Active Learning to Maximize Area Under the ROC Curve
In active learning, a machine learning algorithm is given an unlabeled set of examples U, and is allowed to request labels for a relatively small subset of U to use for training. ...
Matt Culver, Kun Deng, Stephen D. Scott
AICT
2005
IEEE
15 years 5 months ago
A Semantic Lifecycle Approach to Learning Object Repositories
Learning Object repositories play a key role in the vision of reusable learning contents and learning designs, serving as providers for learning-oriented artefacts. Nevertheless, ...
Miguel-Ángel Sicilia, Elena García B...