Constructive Machine Learning(CML 2016)

10th December 2016,

Barcelona, Spain

Call for Papers:

Constructive machine learning describes a class of related machine learning problems where the ultimate goal of learning is not to find a good model of the data but instead to find one or more particular instances of the domain which are likely to exhibit desired properties. While traditional approaches choose these domain instances from a given set/databases of unlabeled domain instances, constructive machine learning is typically iterative and searches an infinite or exponentially large instance space.

Topics of Interest:

structured output learning

transfer or multi-task learning of generative models

active search or online optimisation over relational domains

adaptive sampling in structured domains

bayesian optimization

preference elicitation

constraints acquisition and learning with constraints

Important Dates:

• Submission deadline: November 3, 2016
• Acceptance notification: November 24, 2016
• Fina due: December 1, 2016

 

User Name : jerish
Posted 03-10-2016 on 11:28:18 AEDT

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