University of Cambridge > Talks.cam > Machine Learning @ CUED > Using Context and Insight for the Analysis of LittleData?

  Browse A-Z

Log in

Cambridge users (raven)details Other usersdetails No account?details

Information on

Subscribing to talksdetails Finding a talkdetails Adding a talkdetails Disseminating talksdetails Help and Documentationdetails

Using Context and Insight for the Analysis of LittleData?

Add to your list(s) Download to your calendar using vCal

If you have a question about this talk, please contact Zoubin Ghahramani.

We live in the era of Big Data with many interesting challenges for Machine Learning. In the opposite regime of “Little Data”, a limited population size, limited measurement time or a limited budget constrains the amount of data available. Examples include magnetic resonance imaging, microarray experiments or portfolio management. To obtain sensible predictions it is then crucial to take modeling assumptions into account. In this talk I will cover challenges, both computational and conceptual, that come up in the presence of a limited amount of data and how they can be overcome. I will focus on causality and high-dimensional covariance estimation and present a new algorithm that allows to compute an asymptotically unbiased, sparse and positive semidefinite estimator for covariance matrices using the SCAD penalty from high-dimensional statistics.

This talk is part of the Machine Learning @ CUED series.

Tell a friend about this talk:

This talk is included in these lists:

Note that ex-directory lists are not shown.

Other lists

Film screening - 3 Deewarein (Three Walls) Cambridge Review of International Affairs Churchill College Phoenix Society Art Cell Gallery Exhibtions Enterprisers MAGDALENE FESTIVAL OF SOUND

Other talks

Graph Legendrians and SL2 local systems Athena SWAN Network Event: Changing Culture A V HILL LECTURE - The cortex and the hand of the primate: a special relationship Plants of the Richtersveld Transport and Settling of Sediments in River Plumes The Age of the Applied Economist: The Transformation of Economics Since the 1970s Asclepiadaceae Graded linearisations for linear algebraic group actions Disease Migration Molecular mechanisms of cardiomyopathies in patients with severe non-ischemic heart failure Magnetic Resonance on Two Scales for Research into Cell Cycle and Stroke
 

© 2006-2024 Talks.cam, University of Cambridge. Contact Us | Help and Documentation | Privacy and Publicity