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obama is right : africa deserves better leadership
obama waiting for midterm to name attorney general
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putin spokesman : doping charges appear unfounded
the latest on severe weather : 1 dead in texas after tornado
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new video shows us police officers beating mentally-ill man
new york police officer critically wounded in hatchet attack
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vector space representation results in the loss of the order which the terms are in the document .
if a term occurs in the document , the value will be non-zero in the vector .
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inheritance in object oriented programming is a way to form new classes using classes that have already been defined .
the peropos of inheritance in object oriented programming is to minimize the reuse of existing code without modification .
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to explain further vector space models , basically a document is characterized by a vector .
a document is represented as a vector .
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bayes ’ theorem was names after rev thomas bayes and is a method used in probability theory .
as an official theorem , bayes ' theorem is valid in all universal interpretations of probability .
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if a term appears in the document then its value in the vector is non-zero .
a document is represented as a vector and each dimension corresponds to a separate term .
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• p ( a | b ) is the conditional probability of a , given b .
• p ( b | a ) is the conditional probability of b given a .
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the differing application has a direct influence on what the definition of the term means .
the way that a ' term ' is defined depends on the application .
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thus , the " program " is the optimal plan of action that is being produced .
thus , the " program " is the optimal plan for action that is produced .
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thus , the " program " is the optimal plan for action that is produced .
therefore , the " program " is the optimal plan for action that is produced .
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one of the best known schemes is tf-idf weighting ( see the example below ) .
one of the best known methods is called tf-idf weighting .
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it is " previous " in the sense that it does not take into account any information about b .
it does not take into account any information about b and therefore is considered “ prior ” .
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the algebraic model for representing text documents and objects as vectors of identifiers is called the vector space model .
a possible use for a vector space model is for retrieval and filtering of information .
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secondly to define the value of the optimal solution recursively .
generalise the structure of an optimal solution 2 .
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there are two main approaches for dynamic programming .
there are four steps in dynamic programming : 1 .
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p ( a ) , or the probability that the student is a girl regardless of any other information .
it is mainly used to calculate the probability of one event ’ s outcome given that a previous event happened .
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for instance , a events schedule at an exhibition is sometimes called a program .
for instance , a finalized schedule of events at an exhibition is sometimes called a program .
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this can be useful when the number of times a word appears is not considered important .
one of the most important uses of page rank is its meaning to advertising .
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define value of optimal solution recursively .
characterise structure of an optimal solution .
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it was first used in the smart information retrieval system .
it is used in information retrieval and was first used in the smart information retrieval system .
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in vector space model , the documents from which the information is to be retrieved are represented as vectors .
the vector space model has several disadvantages .
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a term which occurs in the document has a value in the vector of non-zero .
the order in which the terms appear in the document is lost in the vector space representation .
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vector space representation results in the loss of the order which the terms are in the document .
in the vector space model a document is represented as a vector .
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the easiest way to look at inheritance is as an “ … is a kind of ” relationship .
an example of this gain in efficiency is a path-finding problem .
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if a term exists in a document , its value in the vector is not equal to zero .
a document is represented as a vector , with each dimension corresponding to a separate term .
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vector space representation results in the loss of the order which the terms are in the document .
since the pagerank is the most important algorithms which is used in the google engine .
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a document is represented as a vector , with each dimension corresponding to a separate term .
the basic idea is to represent each document as a vector of certain weighted word frequencies .
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thus , the " program " is the optimal plan for action that is produced .
after this , it is using this to pick the best overall path .
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a document is represented as a vector .
the vector space model are the documents which are represented as “ bags of words ” .
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the value of a vector is non-zero if a term occurs in the document .
a term which occurs in the document has a value in the vector of non-zero .
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a page that is linked to by many pages with high pagerank receives a high rank itself .
a link to a page is seen as a vote of support .
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several different ways of computing these values , also known as ( term ) weights , have been developed .
other ways of computing these values , or weights , have been developed .
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a document is represented as a vector , with each dimension corresponding to a separate term .
the value of a vector is non-zero if a term occurs in the document .
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p ( b ) ( a.k.a. the normalizing constant ) is the prior or marginal probability of b .
p ( b ) is the prior or marginal probability of b , and acts as a normalizing constant .
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the pagerank is computed iteratively , and it is found that the pagerank values converge fairly rapidly .
the pagerank depends on the pagerank rating and number of all pages that have links to it .
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in general , we can solve a problem with optimal substructure using a three-step process : 1 .
in a word , we can solve a problem with optimal substructure using a three-step process .
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in the vector space model a document is represented as a vector .
a possible use for a vector space model is for retrieval and filtering of information .
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one of its uses is calculating posterior probabilities given observations .
it is usually used to calculate posterior probabilities given observations .
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if a term appears in the document , the terms value in the vector is non-zero .
each item in the vector represents a different keyword .
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finally , the order in which the terms appear in the document is lost in the vector space representation .
a term which occurs in the document has a value in the vector of non-zero .
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several different ways of computing these values , also known as ( term ) weights , have been developed .
many different ways of calculating these values , also known as ( term ) weights , have been developed .
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to derive the theorem , we begin with the definition of conditional probability .
in probability theory , the prior and conditional probabilities of two random events are related by bayes ' theorem .
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the way that a ' term ' is defined depends on the application .
the definition of term is dependent on the application .
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its first application was in the smart information retrieval system .
it was used in the first time in the smart information retrieval system .
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it doesn 't take into account any information about b , so it is " prior " .
however an object cannot be cast to a class which is no relative of it .
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following this , each web page is given a ranking of 0-10 according to its relevance to a search .
a variation of the pagerank method bases the importance of a webpage on how many visits the page gets .
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thus , the program is the best plan for action that is produced .
thus , the " program " is the optimal plan of action that is being produced .
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this means that inheritance is used when types have common factors and these would be put into the superclass .
they do not have to be written in a computer language .
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these subproblems are not , however , independent .
it is similar to divide and conquer , however is differentiated as its subproblems are not independent .
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the key to dynamic programming is to find the structure of optimal solutions .
in general , dynamic programming is used on optimisation problems , where the most efficient solution is needed .
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when a document is represented as a vector , each dimension corresponds to a separate term .
each dimensions corresponds to a separate terms .
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bayes theorem is a mathematical formula used to calculate conditional probabilities .
bayes ' theorem relates the conditional and marginal probabilities of two random events .
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lucky joe likes to predict the colour of the ball he selects and he is 80 % accurate .
joe records all of his results and about 0.5 % of the time he accidently records the wrong results .
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thus , the program is the best plan for action that is produced .
the other method is the top down approach which is a method that combines memorization and recursion .
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it is usually used to calculate posterior probabilities given observations .
it is usually be used to compute posterior probabilities given observations .
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the methodology takes much less time rather than naive methods .
the method takes much less time than naive methods .
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the methodology takes much less time rather than naive methods .
this is a much quicker method than other more naive methods .
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the definition of term is dependent on the application .
the definition of term depends on the application .
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this means that inheritance is used when types have common factors and these would be put into the superclass .
it is similar to divide and conquer , however is differentiated as its subproblems are not independent .
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characterise structure of an optimal solution .
use these optimal solutions to construct an optimal solution for the original problem .
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the theorem is often used when we have observations and wish to compute posterior probabilities .
it is usually used to calculate posterior probabilities given observations .
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occasionally it is advantageous to differentiate between these uses , as it is not necessarily noticeable from context .
it also provides a way to generalize du to the " is a " relationship between classes .
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construct an optimal solution from computed values .
define value of optimal solution recursively .
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occasionally it is advantageous to differentiate between these uses , as it is not necessarily noticeable from context .
it is similar to divide and conquer , however is differentiated as its subproblems are not independent .
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when a document is represented as a vector , each dimension corresponds to a separate term .
the basic idea is to represent each document as a vector of certain weighted word frequencies .
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when a document is represented as a vector , each dimension corresponds to a separate term .
each dimension corresponds to a separate term .
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mathematicians use the word to describe a set of rules which anyone can follow to solve a problem .
however an object cannot be cast to a class which is no relative of it .
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whilst bayesians describe probabilities in terms of beliefs and degrees of uncertainty .
at the same time , bayesians describe probabilities in terms of beliefs and degrees of uncertainty .
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it is used in information filtering , information retrieval , indexing and relevancy rankings .
it is used in information filtering , indexing , relevancy rankings and information retrieval .
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in probability theory , bayes ' theorem relates the conditional and marginal probabilities of two random events .
bayes ' theorem is useful in evaluating the result of drug tests .
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outbound , links from your page to others .
dangling , links to a page which has no links to others .
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vector space representation results in the loss of the order which the terms are in the document .
in vector space model , the documents from which the information is to be retrieved are represented as vectors .
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in computer science ; dynamic programming is a way of solving problems consist of overlapping subproblems and optimal substructure .
however , the key in dynamic programming is to determine the structure of optimal solutions .
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if a term appears in the document , the terms value in the vector is non-zero .
vector space representation results in the loss of the order which the terms are in the document .
1
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in vector space model , the documents from which the information is to be retrieved are represented as vectors .
finally , the order in which the terms appear in the document is lost in the vector space representation .
1
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for instance , a finalized schedule of events at an exhibition is sometimes called a program .
the typical example could be of a finalized schedule of events at an exhibition .
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several different ways of computing these values , also known as ( term ) weights , have been developed .
several different ways of computing these values , additionally known as ( term ) weights , have been developed .
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if a term exists in a document , its value in the vector is not equal to zero .
if a term appears in the document then its value in the vector is non-zero .
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a hyperlink to a page counts as a vote of support .
a link to a page is seen as a vote of support .
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this means that inheritance is used when types have common factors and these would be put into the superclass .
the main problem is divided into sub problems which are solved and stored for future use .
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most of these languages provide an “ extend ” keyword , which is used to subclass another .
for example , a program could exist to model different forms of transport .
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for instance , a finalized schedule of events at an exhibition is sometimes called a program .
for example , a schedule of events at an exhibition is sometimes called a programme .
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the value of a vector is non-zero if a term occurs in the document .
each document is a vector where each word is a dimension .
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the theorem is often used when we have observations and wish to compute posterior probabilities .
it is often used to calculate posterior probabilities given observations .
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other possible uses for vector space models are indexing and also to rank the relevancy of differing documents .
in this classic model the term specific weights in the document vectors are products of local and global parameters .
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the correct answer can be computed using bayes ' theorem .
bayes ' theorem is useful in evaluating the result of drug tests .
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• p ( b | a ) is the conditional probability of b given a .
p ( a | b ) is the conditional probability of a , given b .
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since the pagerank is the most important algorithms which is used in the google engine .
the pagerank is a recursive algorithm used by google to determine which webpages are more important than others .
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nevertheless , the patent is assigned to the university of stanford and not to google .
however , the patent is assigned to stanford university and not to google .
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this means that inheritance is used when types have common factors and these would be put into the superclass .
it is therefore used to create relationships between one object and another .
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in the vector space model a document is represented as a vector .
a document is represented as a vector , and each dimension corresponds to a separate term .
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p ( b ) is the prior or marginal probability of b , and acts to normalise the probability .
p ( b ) ( a.k.a. the normalizing constant ) is the prior or marginal probability of b .
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this can be useful when the number of times a word appears is not considered important .
the easiest way to look at inheritance is as an “ … is a kind of ” relationship .
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in probability theory , bayes ' theorem relates the conditional and marginal probabilities of two random events .
bayes ' theorem relates the conditional and marginal probabilities of two random events .
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the definition of term depends on the application .
the definition of a term depends on the application .
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break up the problem different smaller subproblems .
a problem with overlapping subproblems means that the same subproblems may be used to solve many different larger problems .
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inheritance is a method of forming new classes using predefined classes .
inheritance in object oriented programming is a way to form new classes using classes that have already been defined .
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so the same rule applies with keywords and indeed longer phrases .
single words , keywords and occasionally longer phrases are used for terms .
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