WT3.5 – Workshop on Advances in Machine Learning
Task Leader: Tomasz Kajdanowicz, email@example.com
ENGINE research areas: A1, B1-B6
Duration: 3-5 days
Estimated no. of participants: 30
No. of events: 1
The crucial goal of the Workshop on Advances in Machine Learning is to train the ENGINE staff in the main advanced methods and techniques used in machine learning, pattern recognition and data mining, especially in the context of networked data. Owing to this workshop, the ENGINE members will arrange and increase their knowledge both about basic and advanced methods used in machine learning and recognition of patterns, in particular: supervised learning, classification, regression, unsupervised learning, semi-supervised learning, relational learning, active learning, reinforcement learning, concept drift, sequence labelling, ensemble classification methods, data pre-processing, feature selection, collective classification. The presentations, demonstrations and open discussions will cover wide and comprehensive range of topics within machine learning and pattern recognition as well as their main application domains.
To achieve it, worldwide-known and recognizable speakers and lecturers will be invited. Five experts will be attracted and they will give 6 hours presentations/demonstrations each. It means that each of five days will consists of six hours of lectures plus catering (lunch).
Overall, the workshop is organized for the ENGINE staff, however, it will be open for limited number of external participants, according to restrictions in the available budget. In particular, other researchers from collaborating companies, SMEs as well as regional and the Polish research unites will be invited to make the ENGINE Centre a visible knowledge transfer hub in the domain of machine learning, pattern recognition and data mining as well as their applications.
The workshop will be free of charge for all participants, but their number will be limited.