© ACM 2015. This is the author's version of the work. It is posted here for your personal use. Not for redistribution. The definitive Version of Record was published in ACM SIGKDD Explorations Newsletter http://dx.doi.org/10.1145/2830544.2830551The first international workshop on Learning over Multiple Contexts, devoted to generalization and reuse of machine learning models over multiple contexts, was held on September 19th, 2014, as part of the 7th European machine learning and data mining conference (ECML-PKDD 2014) in Nancy, France. This short report summarizes the presentations and discussions held during the LMCE 2014 workshop, as well as the workshop conclusions and the future agenda.Ferri Ramírez, C.; Flach, P.; Lachiche, N. (...
Learning is a complex, mostly invisible process that happens across spaces, occurring in the physica...
PAPER 51: LEARNING FROM ACCIDENTS: MACHINE LEARNING PROTOTYPE DEVELOPMENT BASED ON THE CRISP-DM BUSI...
Machine Learning has become a key enabling technology for many engineering applications, investigati...
Following the trend of other editions, it was held this year (2011) in Wellington, New Zealand, the ...
The First International Workshop on Modeling, Learning and Mining for Cross/Multilin- guality (Multi...
[EN] The First International Workshop on Modeling, Learning and Mining for Cross/Multilinguality (Mu...
[Notes_IRSTEA]co-located with the 38th European Conference on Information Retrieval (ECIR 2016) [Dep...
Tommasi T., Orabona F., Caputo B., ''Learning categories from few examples with multi model knowledg...
We, the guest editors, welcome you to this special issue of Machine Learning comprising papers accep...
The Patterns in Model Engineering (PAME) workshop5 was held on 21 July 2015 as part of the Software ...
We are delighted to present this special issue of Machine Learning Journal with selected papers from...
Abstract: We introduce the MLM (Multiple Languages and Modalities) dataset - a new resource to trai...
We describe a systematic approach called reframing, defined as the process of preparing a machine le...
ISBN 978-3-642-29644-4 - ISSN 03029743International audienceFollowing the trend of other editions, i...
International audienceProceedings of the 2nd International Workshop on The Globalization of Modeling...
Learning is a complex, mostly invisible process that happens across spaces, occurring in the physica...
PAPER 51: LEARNING FROM ACCIDENTS: MACHINE LEARNING PROTOTYPE DEVELOPMENT BASED ON THE CRISP-DM BUSI...
Machine Learning has become a key enabling technology for many engineering applications, investigati...
Following the trend of other editions, it was held this year (2011) in Wellington, New Zealand, the ...
The First International Workshop on Modeling, Learning and Mining for Cross/Multilin- guality (Multi...
[EN] The First International Workshop on Modeling, Learning and Mining for Cross/Multilinguality (Mu...
[Notes_IRSTEA]co-located with the 38th European Conference on Information Retrieval (ECIR 2016) [Dep...
Tommasi T., Orabona F., Caputo B., ''Learning categories from few examples with multi model knowledg...
We, the guest editors, welcome you to this special issue of Machine Learning comprising papers accep...
The Patterns in Model Engineering (PAME) workshop5 was held on 21 July 2015 as part of the Software ...
We are delighted to present this special issue of Machine Learning Journal with selected papers from...
Abstract: We introduce the MLM (Multiple Languages and Modalities) dataset - a new resource to trai...
We describe a systematic approach called reframing, defined as the process of preparing a machine le...
ISBN 978-3-642-29644-4 - ISSN 03029743International audienceFollowing the trend of other editions, i...
International audienceProceedings of the 2nd International Workshop on The Globalization of Modeling...
Learning is a complex, mostly invisible process that happens across spaces, occurring in the physica...
PAPER 51: LEARNING FROM ACCIDENTS: MACHINE LEARNING PROTOTYPE DEVELOPMENT BASED ON THE CRISP-DM BUSI...
Machine Learning has become a key enabling technology for many engineering applications, investigati...