Techniques for Automated Machine Learning

Machine learning techniques for automated analysis of facial expressions

Automated analysis of facial expressions paves the way for numerous next-generationcomputing tools including affective computing technologies (proactive and affective user interfaces), learner-adaptive tutoring systems, medical and marketing applications, etc. In this thesis, we propose machine learning algorithms that head toward solving two important but largely understudied problems in autom...

Machine Learning for Automated Reasoning

Automated Species Identification System using Machine Learning Techniques

Taxonomy is the science of naming, describing and classifying organisms that includes all plants, animals and microorganisms of the world. Using morphological, behavioral, genetic information and biochemical observations, taxonomists identify and describe species into classifications, including those that are new to science. The taxonomic identification of fishes is a time-consuming process and...

Machine Learning for NLP: Supervised learning techniques

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Machine Learning for NLP: Unsupervised learning techniques

• So far we have seen supervised learning (of classification): – learning based on a training set where labelling of instances represents the target (categorisation) function – classifier implements an approximation of the target funtion – outcome: a classification decision • Unsupervised learning: – learning based on unannotated instances; – outcome: a grouping of objects (instances and groups...