'Active learning in real-world applications', Bristol, UK
28 September 2012 - 28 September 2012
United Kingdom
A workshop entitled 'Active learning in real-world applications' will take place on 28 September 2012 in Bristol, UK.
Machine learning is a field in which methods and algorithms allow a model to learn behaviour thanks to examples. Active learning gathers methods which select examples used to build a training dataset for the predictive model. All the strategies aim to use a set of examples as small as possible and to select the most informative examples.
When designing active learning algorithms for real-world data, some specific issues are raised. The main ones are scalability and practicability. Methods must be able to handle high volumes of data, and the process for labelling new examples by an expert must be optimised.
This workshop will be a forum for academics and industry-related researchers to discuss new areas of active learning, and bridge the gap between data acquisition or experimentation and model building.For further information, please visit: http://www.nomao.com/labs/alra#
Machine learning is a field in which methods and algorithms allow a model to learn behaviour thanks to examples. Active learning gathers methods which select examples used to build a training dataset for the predictive model. All the strategies aim to use a set of examples as small as possible and to select the most informative examples.
When designing active learning algorithms for real-world data, some specific issues are raised. The main ones are scalability and practicability. Methods must be able to handle high volumes of data, and the process for labelling new examples by an expert must be optimised.
This workshop will be a forum for academics and industry-related researchers to discuss new areas of active learning, and bridge the gap between data acquisition or experimentation and model building.For further information, please visit: http://www.nomao.com/labs/alra#