|COOKIES: By using this website you agree that we can place Google Analytics Cookies on your device for performance monitoring.|
Representing and Querying Large-scale Uncertainty
If you have a question about this talk, please contact Microsoft Research Cambridge Talks Admins.
A number of real-world applications require modeling uncertainty. Examples include information extraction, information integration, data collected from sensor networks, social networks and scientific databases just to name a few. Traditionally, most of these applications have been tackled in isolation even though the core operations of modeling and reasoning under uncertainty are common to all of them. Probabilistic databases, an area of research in the intersection of machine learning and large-scale data management, hold the promise to provide a common framework that solves all applications requiring uncertainty management and enhance their utility by providing an easy-to-use, declarative querying interface. In this talk, I will describe some of my recent contributions to this area of research touching upon efficient query evaluation, different representation schemes in increasing order of complexity and efficient inference algorithms. Designing a common framework requires that we first gain an in-depth understanding of the targetted range of applications. I harbour an independent interest in a number of such applications and will also be describing my recent work in information retrieval, information extraction and information integration.
This talk is part of the Microsoft Research Cambridge, public talks series.
This talk is included in these lists:
Note that ex-directory lists are not shown.
Other listsPDN Postdoc Symposium Plenary talks Cambridge Next Generation Sequencing Bioinformatics Day Silicon Valley comes to the UK 2011
Other talksEDSAC: The World's First Practical Electronic Digital Computer Why is work with infants and young children important in translational neuroscience? Attention outside the scanner: individual differences in the micro-dynamics of naturalistic attentional control The role of gibberellins in the control of bolting and flowering in sugar beet Lameness in Lowland English Sheep Flocks: Farmers’ Perspectives and Behaviour The diachrony of the Romanian particle "să" Changes in functional and structural connectivity across adult lifespan: implications for neurocognitive ageing