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Thus, we see that membership in the International Plan contributes in a positive way to the likelihood that a particular customer will churn, whereas membership in the VoiceMail Plan decreases the churn probability. These ndings concur with our results from the earlier volume [4]. The conditional independence assumption should not be made blindly. Correlated predictors, for example, violate the assumption. For example, in classifying risk for credit default, total assets and annual income would probably be correlated. However, naive Bayes would, for each classi cation (default, no default), consider total assets and annual income to be independent and uncorrelated. Of course, careful data mining practice includes dealing with correlated variables at the EDA stage anyway, since the correlation can cause problems for several different data methods. Principal components analysis can be used to handle correlated variables. Another option is to construct a user-de ned composite, a linear combination of a small set of highly correlated variables. (See 1 for more information on handling correlated variables.) As we saw in 4, a cell with frequency zero can pose dif culties for the analysis. Now, for naive Bayes estimation, what if a particular cell (combination of attribution values) has zero frequency For example, of the 483 customers who churned, 80 had the VoiceMail Plan, so that p(V |C) = 80/483 = 0.1656. However,

LORAN. See Long range navigation (LORAN) LOS. See Line of Sight (LOS) Low noise ampli er (LNA), 213 LTE. See Long Term Ephemeris (LTE) Luminosity measurements non-GNSS positioning systems outdoor techniques, 101 Lux Trace system, 114 Magnetometers, 305 non-GNSS positioning systems outdoor techniques, 126 Maps evolution, 8 GPS compatibility, 53 Marconi, Guglielmo, 13 Maritime applications commercial activities, 348f modern geographical positioning systems, 346, 347 rescue activities, 348f Maritime currents, 3 Maritime receivers, 373f Mass-market receivers professional ones, 372 Master control station (MCS), 121, 132 Matrix positioning approach, 112f MCC Europe, 158 McClure, Frank, 22 MCS. See Master control station (MCS) Medians, 41 Medieval maritime world, 4 Medium Earth Orbit, 77 Medium earth orbits (MEO) satellites, 137 MEO. See Medium earth orbits (MEO) Mercator, 11 projection, 11f Meteorological forecast, 369 Microwave landing system (MLS), 106 concept, 107f Middle Ages navigation techniques, 6 Military maritime applications modern geographical positioning systems, 346 MLS. See Microwave landing system (MLS)

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% of total groundwater discharge entering rivers % of total groundwater discharge owing directly into the sea (submarine groundwater discharge)

$ /bin/mkdir ~/src && cd ~/src $ export CVSROOT= :pserver:anonymous@cvs.sourceforget.net:/cvsroot/sox $ /usr/bin/cvs -d ${CVSROOT} login Logging in to :pserver:anonymous@cvs.sourceforge.net:2401/cvsroot/sox CVS password: $ /usr/bin/cvs -z3 -d ${CVSROOT} checkout sox [ Several files scroll down the screen ] $ /bin/ls -l drwxr-xr-x 7 mythtv mythtv 4096 Feb 4 19:46 sox $ cd sox/ $ ./configure --enable-lirc --enable-lircc --enable-menu $ /usr/bin/make $ /usr/bin/sudo /usr/bin/make install Password:

Consider sector A1 . Since the N paths have the sink as their destination, the nodes in sector A1 must collectively participate in all the N paths. Since A1 contains n1 nodes, the expected number of transmissions per node is N=n1 . Assuming a power-degradation factor of a, 2 a 6, the energy expended by a node in A1 a per path served is r1 c for some nonnegative constant c. Thus, the total energy E1 consumed by a node in A1 to ful ll its routing duties is E1 N a r1 c n1

Mobile hosts do not have global channel status (in terms of which other hosts are contending for the same channel, etc.) The scheduling must take care of both uplink and downlink flows Mobile hosts are often constrained in terms of processing power and battery power Thus, any wireless scheduling and channel access algorithm must consider the constraints imposed by this environment. In terms of the wireless channel model, we consider a single channel for both uplink and downlink flows, and for both data and signaling. Even though all the mobiles and the base station share the same channel, stations may perceive different levels of channel error patterns due to location-dependent physical layer impairments (e.g., cochannel interference, hidden terminals, path loss, fast fading, and shadowing). User mobility also results in different error characteristics for different users. In addition, it has been shown in [5]

This extrinsic information is de-interleaved to become the a priori information of the rst decoder, in the second iteration. This decoder determines the LLRs L (2) (bi /Y) based on this a 1 priori information and the channel information, to give the estimates as listed in Table 7.12. A comparison of these results with those of the rst iteration in Table 7.8 shows that the estimates have improved, and the number of errors is reduced to 2.

The electronic delays induced by cables between the outdoor receiving antenna and the transmitting repeater should be zero (this is obviously not true but of no impact in

Press the C key. When you release the C key, pixel snapping returns to the state you selected with View > Snap to Pixels.

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