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such that all entries that have a frequency of less than Tr are eliminated from the table, resulting in a reduced attribute value table. Note that the main motive for introducing this threshold function lies in reducing the size of the case base. Attempts can be made to eliminate noisy pattern representatives (having lower values of nki) from the reduced attribute value table. Rough dependency rules are generated from this reduced attribute value table using the methodology described in Section 2.3.3.2. 2.3.3.4 Mapping Dependency Rules to Cases We now describe a technique for mapping rough dependency rules to cases. This algorithm is based on the observation that each dependency rule (having a frequency above some threshold) represents a cluster in the feature space. It may be noted that only a subset of features appear in each of the rules, which indicates that the entire feature set is not always necessary to characterize a cluster. A case is constructed from a dependency rule in the following manner: 1. Consider the antecedent part of the rule: Split it into atomic formulas containing only a conjunction of literals. 2. For each atomic formula, generate a case that contains the centers and radius of the fuzzy linguistic variables (low, medium, and high) that are present in the formula. (Thus, multiple cases may be generated from a rule.) 3. Associate with each case, generated the precedent part of the rule and the case strength equal to the dependency factor of the rule [equation (2.16)]. The strength factor re ects the size of the corresponding cluster and the signi cance of the case. Thus a case has the following structure:

Let s now price the callable under three assumed scenarios: 1. The callable is not called and survives to its maturity date: p1 p2 p3 p4 p5 100%.

In some space shared by all parties involved, de ne the terminology of the transactions. Set limits to the values that each of the terms can have. Probably, check the compliance of these, on-line, in real-time and raise an exception handling routine to resolve any problems. De ne and execute procedures to complete other aspects of the transaction.

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foundations: behavioral, 121 124 cognitive, 124 125 integration, cognitive-behavioral, 125 126 future implications, 134 136 problems and disorders treated, 126 127 depression, 127 substance abuse, 127 research, 443, 444 terminology (current use of term cognitive-behavioral), 120 Cognitive-behavioral marital therapy (CBMT), 443 Cognitive marital therapy (CMT), 444 Cognitive processes (research), 437 439 Cognitive science, 121 Cohabitation, 30 31 as alternative to marriage, 30 31 as brief prelude to marriage, 31 research, impact on relationship quality, 434 Commit ment: acceptance and commit ment therapy (ACT), 121, 122 attachment versus, 31 32 central to marital stability and success, 32 early marriage, 31 32, 35, 37 marital satisfaction versus, 32 multiple features, 32 nature of, 31 32 Communication: aggression, 307 couples with young children, 52 53 early marriage, 35 integrative healing couples therapy, 212 leveling style of, 15 PAIRS, 15 16 placators, blamers, distractors, and computers, 122 problem solving and, 15 16, 307 relaxation and, 364 Communion: facilitating through increasing differentiation (couples facing illness), 259 261 intimacy and, 259 261, 414 Community(ies): inviting expansion of, 165 166 of support, 165 Compassion, 363 Compromise, conf lict and, 35 Conditioning, 121 Confidentiality, infidelity and, 341 342 Conf lict: compromise and, 35 resolution (couples with young children), 53 54

18.5 TRAFFIC GROOMING PROBLEM Traf c grooming is to multiplex/demultiplex low-rate traf c demands by SADMs to share a wavelength channel in SONET/WDM networks. A general goal in the traf c grooming problem is to realize a connectivity as a function of the network size and the functionality of network nodes. Major optimization goals are to minimize the number of SADMs and the number of colors (wavelength channels). It is known that the two optimization goals cannot be achieved simultaneously for many cases [5,25,35]. It has received much attention to minimize SADMs subject to using the minimum number of colors [5,28,35,45].

Negative amortization can result from an adjustable-rate mortgage that limits the total monthly payment a buyer makes, even if the interest rate has risen Note A written statement acknowledging a debt and promising payment O Open-end mortgage A mortgage allowing the borrower to repay the loan before maturity without penalty, or to ref inance it Option The right to buy a property at a specif ic price within a specif ic time The fee paid for an option is usually forfeited if it isn t exercised P Personal property Items not permanently f ixed to a house, such as furniture and jewelry PITI Abbreviation for principal, interest, taxes, and insurance, all of which may be included in the monthly mortgage payment a homeowner must make Points Charges assessed by a lender for granting a mortgage Usually, points allow the lender to lower the interest rate.