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where y=(y0, y1, y2) and the corresponding score function A(x, t, y)=(1, t1 x1, t2 x2)T. Solving this system of log-likelihood equations for the coefficients of Equation (19.11) leads to a local Expectation Maximization (EM) algorithm as described in Braun et al. (2005). Let us suppose that the logarithm of the density is locally constant, i.e. log f(t)=y0. From Equation (19.12), solving the system of one local likelihood equation with one unknown coefficient y0 results in the following estimator for f(x): Z n X ~ ~ 1 E Kh Xi x jXi 2 Ii Kh t x ey 0 dt ey 0 ~ x : f n

(2.40)

0 463000 463200 463400 463600 463800 464000 464200

You will notice that you are in this AntiPattern when your Tags become hard to use either because of bugs or because of the way they are hard-wired to work in only one situation.

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Figure 8 1: An example organization of LDAP data as a tree structure representing geographical information Tip Each branch in the hierarchy keeps information about its location relative to the root of the tree So, even though your network link might have disappeared, the only difference your applications will see is that only the local information is available Internet address based structures are another very common means of locating information in an LDAP database By their very definition, domain names already include geographical information, and the name system has a very nice hierarchy already associated with it This style of structure suits applications that deal a lot with e mail information, such as e commerce Web sites, because the e mail address makes for a good lookup mechanism Defining one piece of data with entries Almost all information in an LDAP database is defined as being string information.

Although this language is poetic, Empedocles was being literal He envisaged actual re passing through special channels to separate it from the waters of the eye and owing out in a blazing stream to the objects that were seen Such a dramatic picture has to be understood in the context of his four elements light had to be composed of re, as it could hardly be earth, air or water This ery light from the eye, the accepted reality for over 1,000 years, seems hopelessly awed to a modern mind If light originates in the eyes, why can t we see when the sun goes down Empedocles had not missed the contribution of the sun In fact he even suggested that the Earth caused the darkness of night by blocking the sun s rays, a concept that was well ahead of his time.

Each string consists of a name and a value To locate an item in the LDAP, you concatenate a collection of these strings together that represent the path from the root of the tree to the entry you are interested in A single name/value pair is called an attribute You collect a bunch of these attributes together into a single item called an entry An entry is the logical equivalent of a row in a relational database, and the name of an attribute the equivalent of the column name When you are searching an LDAP database, or adding information to one, the smallest logical entity is an entry An attribute may have almost anything in it For a given name, you may also have many different values, and this leads to multi value attributes.

Yet he was able to separate two quite independent kinds of light in his mind The sunlight he regarded as a facilitator that enabled the eye s light to make sight possible Imagine opening a box to let light into it The action of moving the box lid doesn t generate light, it just makes it possible for light to get in Similarly, Empedocles believed that the sun only made it possible for the light from the eye to function correctly Empedocles theory was in uenced by more than the practicalities of vision To Greek thinking, the very nature of what was seen, or at least how it was described, was coloured by the inner view Homer, writing perhaps 400 years before Empedocles, described the sea as wine-dark , yet no one would now consider the colour of the sea to resemble wine.

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