Density Estimation

In probability and statistics,density estimation is the construction of an estimate, based on observed data, of an unobservable underlying probability density function. The unobservable density function is thought of as the density according to which a large population is distributed; the data are usually thought of as a random sample from that population.A variety of approaches to density estimation are used, including Parzen windows and a range of data clustering techniques, including vector quantization. The most basic form of density estimation is a rescaled histogram.
Posts about Density Estimation
  • Vladimir Vapnik Joins Facebook AI Research

    … Facebook’s artificial-intelligence unit, Facebook AI Research, announced the addition of Vladimir Vapnik, from the University of London. The hire was announced in a post on the Facebook AI Research page, in which Vapnik was pictured with Yann LeCun, who was tapped to lead the social network’s AI lab last December: We are delighted to announce…

    David Cohen/ AllFacebookin Social- 7 readers -
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