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Figure 6-1: Web page that collects input for the Calculator Bean For the purpose of discussion, Figure 6-1 contains all of the essentials. You don t have to be a rocket scientist to deduce that the input field Operand1 refers to the bean property operand1, and so on. Listing 6-2 shows the code for the Calculator Bean Web page shown in Figure 6-1. Listing 6-2: Form used to get input for the CalcBean



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Figure 6.2 Naive Bayes density functions for the iris data (axis-parallel ellipses, left) and density functions that take into account the covariance of the two measures (general ellipses, right). The ellipses are the 2 -boundaries.





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Sequential Versus Parallel Search Methods Almost all current GPS receivers are multichannel units in which each channel is assigned a satellite and processing in the channels is carried out simultaneously. Thus, simultaneous searches can be made for all usable satellites when the receiver is turned on. Because the search in each channel consists of sequencing through all possible frequency and code delay steps, it is called a sequential search. In this case, the expected time required to acquire as many as eight satellites is typically 30 100 s, depending on the speci c search parameters used. Certain applications (mostly military) demand that the satellites be acquired much more rapidly (perhaps within a few seconds). This can be accomplished by using a parallel search technique in which extra hardware permits many frequencies and code delays to be searched at the same time. However, this approach is seldom used in commercial receivers because of its high cost.

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Taga, T and K Tsunekawa Performance Analysis of a Built-In Planar Inverted-F Antenna for 800 MHz Band Portable Radio Units Trans IEEE Vol SAC-5, June 1987, pp 921 929 Taylor, CD Cylindrical Transmitting Antenna: Tapered Resistivity and Multiple Impedance Loadings Trans IEEE Vol AP-16, March 1968, pp 176 179 Terman, FE Radio Engineers Handbook McGraw-Hill, 1943, Section 2 Thiele, GA, Detweiler, PL, and Penno, RP On the Lower Bound of the Radiation Q for Electrically Small Antennas Trans IEEE Vol AP-51, June 2003, pp 1263 1269 Trainotti, V Short Medium Frequency AM Antennas Trans IEEE Broadcasting Vol 47, Sept 2001, pp 263 284 Tsuji, M et al Analytical and Experimental Considerations on the Resonant Frequency and the Quality Factor of Dielectric Resonators Trans IEEE Vol MTT-11, Nov 1982, pp 1952 1958 Turner, EM and Richard, DJ.

The only difference of the quadratic entropy to this formula is the additional factor 2. Therefore, since the above expression is a probability, we can infer that it is 0 H2 (S) 2. (Actually it must be strictly less than 2, because it is impossible that the probability of a correct guess vanishes.) It is clear that the quadratic entropy can be used in direct analogy to the Shannon entropy to derive the quadratic information gain I2 (C, A) = H2 (C) + H2 (A) H2 (CA). gain For this measure a similar lemma holds as for Shannon information gain. Lemma 7.2.4 Let A, B, and C be attributes with finite domains. Then I2 (C, AB) I2 (C, B). gain gain Proof. The proof, which is mainly a technical task (requiring only some formal transformations), can be found in Section A.10 in the appendix. Note that this lemma is not restricted to strictly positive distributions and that we do not have the assertion that equality only holds if the attributes C and A are conditionally independent given B. Indeed, as the proof of this lemma shows, the two measures cannot be equal unless at least one of the attributes A and C has only one value with a non-vanishing probability. In analogy to Shannon information gain we have the following corollary if we consider an attribute B with only one value. In this case it is H2 (B) = 0, H2 (AB) = H2 (A), H2 (CB) = H2 (C), and H2 (CAB) = H2 (CA).

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