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» How to process uncertainty in machine learning
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MLCW
2005
Springer
14 years 2 months ago
Estimating Predictive Variances with Kernel Ridge Regression
In many regression tasks, in addition to an accurate estimate of the conditional mean of the target distribution, an indication of the predictive uncertainty is also required. Ther...
Gavin C. Cawley, Nicola L. C. Talbot, Olivier Chap...
ICALT
2006
IEEE
14 years 2 months ago
Learner as a Designer of Digital Learning Tools
This paper will concentrate on how teacher can support learners in creating their own learning tools conducive to learning. Authors will discuss how the journey in creating differ...
Yasmin Bhattacharya, Madhumita Bhattacharya
ICALT
2009
IEEE
14 years 14 hour ago
Collaborative Learning by Means of Video Games: An Entertainment System in the Learning Processes
New Technologies have been incorporated to schools as learning tools some time ago. In this paper we remark some advantages of video games as educational systems and how we can us...
Natalia Padilla Zea, José Luis Gonzá...
ICML
2008
IEEE
14 years 9 months ago
A unified architecture for natural language processing: deep neural networks with multitask learning
We describe a single convolutional neural network architecture that, given a sentence, outputs a host of language processing predictions: part-of-speech tags, chunks, named entity...
Ronan Collobert, Jason Weston
ICML
2000
IEEE
14 years 9 months ago
Learning Probabilistic Models for Decision-Theoretic Navigation of Mobile Robots
Decision-theoretic reasoning and planning algorithms are increasingly being used for mobile robot navigation, due to the signi cant uncertainty accompanying the robots' perce...
Daniel Nikovski, Illah R. Nourbakhsh