Graphics Gems II (Graphics Gems - IBM) (No. 2) by James Arvo

By James Arvo

I am the archivist for the unfastened portraits gemstones code base on the internet. I do it at no cost, simply because this code is so useful. Others imagine so, too: there are a hundred hits an afternoon on regular on the website. pass examine the net checklist of what is during this quantity to determine if it truly is for you.

Highlights during this quantity (for me - everyone's favorites differ) contain an implementation of Perlin's noise functionality, a advisor to quaternions, a few precious C macros for vector ops (wonderfully brief and clever), and examine correlation.

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Extra resources for Graphics Gems II (Graphics Gems - IBM) (No. 2)

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If the whole document is used as a component, then we are back at traditional probabilistic information retrieval. The basic weight for a given component is defined as the ratio of the probability of the component being relevant to the probability that it is not relevant. This is- RETRIEVAL STRATEGIES Wale role and Sale = In ( role ) role) (1- 41 + In (1- Sale)) Sale are weights that can be estimated in one of three different ways- • Initial estimate using self-relevance. A component which is relevant to itself, results in- where La is the number of components in the document, and Fie is the number of occurrences of term k in the collection.

Term frequency was not used in the original probabilistic model. Croft and Harper incorporate term frequency weights in [Croft and Harper, 1979]. Relevance is estimated by including the probability that a term will appear in a given document, rather than the simple presence or absence of a term in a document. The term frequency is used to derive an estimate of how likely it is for the term to appear in a document. This new coefficient is given below. The P(d;j) indicates the probability that term i appears in document j, and can be estimated simply as the term frequency of term i in document j.

For any given game, there is a seventy five percent chance that the team will win if the weather is sunny and a sixty percent chance that the team will win if the shortstop plays. 6 The conditional probability that the team will win given both situations is written as p(win I sunny, good-shortstop). " We have two pieces of evidence indicating that the Salamanders will win. Intuition says that together the two pieces should be stronger than either alone. " A seventy-five percent chance of winning is a twenty-five percent chance of losing, and a sixty percent chance of winning is a forty percent chance of losing.

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