COMS 4772 Fall 2013 Mixture models

نویسنده

  • Daniel Hsu
چکیده

The mixing distribution is also sometimes called the mixing weights. There are a number of statistical estimation / unsupervised learning tasks associated with mixture models. Three such tasks are as follows (assuming an iid sample from some m? ∈M is given): 1. Density estimation: Here we assume that each distribution in M has a density. The task is to pick m̂ ∈ M such that m̂ is close to m? under some suitable divergence measure (e.g., total variation distance, Kullback-Leibler divergence).

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Clustering Daniel Hsu COMS 4772

Let (X , ρ) be a metric space. Goal: given a set S ⊂ X , find a set C ⊂ X (" centers ") that has small cardinality, and " represents " the set S well (as measured by a cost function).

متن کامل

COMS 4772 Fall 2014 Experts , bandits , and games

Warning: notes are incomplete and unchecked for correctness 1 Prediction with expert advice Algorithm 1 Protocol for online decision-making with expert advice 1: for t = 1 to T do 2: Receive experts' recommendations: b t,i ∈ {±1} for i ∈ [N ]. Recall that the " Follow the weighted majority " algorithm has the following guarantee. Letting M T denote the number of mistakes made by the learner in ...

متن کامل

COMS 4772 Fall 2014

Consider a scenario where you have to repeatedly make a decision on some important matter, and each decision has some quantifiable consequence which you would like to optimize. Formally, suppose there are T rounds of this decision-making game. In each round, you (the “learner”) must choose between two actions, {−1,+1}. Your adversary (Nature) picks one of the actions for that round to be correc...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2013