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To model memoryless situations accurately, we have to disregard the past state of the system – the probabilities remain unaffected by the history of the process. [1] Only two kinds of distributions are memoryless: geometric and exponential probability distributions.
A distributed search engine is a search engine where there is no central server. Unlike traditional centralized search engines, work such as crawling , data mining , indexing, and query processing is distributed among several peers in a decentralized manner where there is no single point of control.
A stochastic process has the Markov property if the conditional probability distribution of future states of the process (conditional on both past and present values) depends only upon the present state; that is, given the present, the future does not depend on the past.
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(This formula is sometimes called the Hartley function.) This is the maximum possible rate of information that can be transmitted with that alphabet. (The logarithm should be taken to a base appropriate for the unit of measurement in use.) The absolute rate is equal to the actual rate if the source is memoryless and has a uniform distribution.
The memoryless Poisson distribution is the predominant model used for analyzing traffic in traditional telephony networks. The Poisson process is characterized as a renewal process. In a Poisson process the inter-arrival times are exponentially distributed with a rate parameter λ: P{An ≤ t} = 1 – exp(-λt).
1. Go to AOL Mail. 2. Next to the search box, click the Drop down icon . 3. Select the part of your account you want to search. 4. Click the Search icon.
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