![]() |
COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring. | ![]() |
University of Cambridge > Talks.cam > Computer Laboratory Wednesday Seminars > Collective Intelligence Techniques for Pervasive Computing
![]() Collective Intelligence Techniques for Pervasive ComputingAdd to your list(s) Download to your calendar using vCal
If you have a question about this talk, please contact Mateja Jamnik. Collective intelligence (CI), that is the combining of behaviour, preferences, or ideas of a group of people to create novel insights, is a core ingredient of today’s internet. In many cases the application of CI techniques is the only way to locate the one item of useful information in a deluge of networked data. Moreover, the accelerating adoption of pervasive computing in its many different flavours, leads to massive increases in data production due to the automation of the authoring process. As a consequence, the role of CI techniques is becoming even more marked. It is also becoming possible to go beyond analyses of online behaviours and draw information from the real world, which is now under constant observation through pervasive computing systems. In this talk I will introduce our recent work on CI techniques designed specifically for pervasive computing. In particular, I will discuss a model that comprehensively captures the features of CI in a manner suitable for a wider range of pervasive computing systems, efficient data structures for representing this model, and a collection of algorithms for analysis, prediction and classification. I will conclude by reporting on results obtained through the application of these techniques to a variety of data sets. This talk is part of the Computer Laboratory Wednesday Seminars series. This talk is included in these lists:
Note that ex-directory lists are not shown. |
Other listsFrench Graduate Research Seminar Series (FGRS) Lucy Cavendish College Finance & Accounting Seminar SeriesOther talksAlgorithmic Investigation of Large Biological Data sets Phylogenetic hypothesis of the Oleeae tribe (Oleaceae) Diversification and molecular evolution patterns in plastid and nuclear ribosomal DNA Single Molecule Spectroscopy Enhancing the Brain and Wellbeing in Health and Disease New Insights in Immunopsychiatry (Provisional Title) Cambridge-Lausanne Workshop 2018 - Day 2 |