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208
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SIAMJO
2010
15 years 1 months ago
2010
We consider a recently proposed optimization formulation of multi-task learning based on trace norm regularized least squares. While this problem may be formulated as a semidefini...
226
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JMLR
2012
13 years 9 months ago
2012
Contextual bandit learning is a reinforcement learning problem where the learner repeatedly receives a set of features (context), takes an action and receives a reward based on th...
187
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JMLR
2012
13 years 9 months ago
2012
Unsupervised discovery of latent representations, in addition to being useful for density modeling, visualisation and exploratory data analysis, is also increasingly important for...
209
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ICIC
2007
Springer
16 years 27 days ago
2007
Springer
We suggest to apply the hybrid neural network based on multi layer perceptron (MLP) and adaptive resonance theory (ART-2) for solving of navigation task of mobile robots. This appr...
164
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ICALT
2003
IEEE
16 years 1 days ago
2003
IEEE
The knowledge society brings its own challenges and demands upon its citizens. Key amongst these is the need to empower people to become lifelong learners, to reflect upon their o...