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When business gets tough, the executive with bottom-line responsibility has to take a hands-on approach to marketing, writes Michael Masterson in his daily e-zine Early to Rise (Message #527) That includes talking to customers, reviewing marketing reports, and working directly with the creative team Do not let professional marketers take over Despite their skills and knowledge, they are not as in touch with your customers as you are By taking charge of marketing, you send an important signal to the troops: Selling is vital, making profitable sales is necessary for survival, says Masterson Should you wait until things are better or market now The answer depends on several factors Is yours a product or service that will get.

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These funds attempt to hedge most market risk by taking offsetting positions, often in different securities of the same issuer. The funds may be long convertible bonds and short the underlying issuers equity, and may focus on obtaining returns with low or no correlation to both the equity and bond markets These relative value strategies include fixed income arbitrage, mortgage-backed securities, capital structure arbitrage, and closed-end fund arbitrage.

The CD track is now an animated object on your slide. By animated, I mean that it is an object that has some action associated with it.

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where e ( i ) = d ( i ) - uzwz-l and ~ ( i= d ( i ) - uZwi.Let Z = wo - wz. Then it also holds that ) i e ( i ) = e a ( i ) w ( i ) and ~ ( i )e p ( i ) v ( i ) . =

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The block diagram of the methodology, consisting of six phases, is shown in Figure 52 The aim of phase 1 is to learn the feature weights of the cases This is done using an evaluation function that does not need to know the class information Using the information of these weights, the original feature space is transformed into a weighted feature space such that clustering of cases can be done more effectively (ie, similarity/dissimilarity among cases becomes more apparent) Phase 2 aims to partition the case base into several clusters using the weighted distance metric based on the concepts of intracluster and intercluster similarity Several representative cases are identi ed in each of these clusters, and a nonrepresentative case in the cluster is approximated by the representative cases The approximation is carried out using a group of fuzzy adaptation rules.

Phase 3 aims to mine these adaptation rules using a rough-fuzzy method Rough sets are used for removing the redundant attributes through reducts, thereby reducing the searching time Fuzzy sets are used to describe the approximation ability of the fuzzy adaptation rules, and those rules having strong approximation ability are then selected as the representative ones, thereby reducing their number These representative rules are considered as the adaptation knowledge associated with the representative cases Based on these adaptation rules, phase 4 uses a reasoning mechanism to predict the adjustment of the solution for a query case Phase 5 describes how to select several representative cases from each cluster based on the concepts of coverage and reachability Since the sets representing the coverage and reachability of different cases are usually ill-de ned, the notion of fuzzy sets has been incorporated.

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The internal details of how these negotiations are processed are not necessarily disclosed. In many cases, instantiations of agents may be created without limit, each instantiated agent thus created is isolated from the others, its only interaction with others being by a prior agreed messaging protocol. Because the way that any one speci c instance of task resolution usually depends on the complex interaction of several agent instantiations, each operating towards goals which are based on their current environment, it is not usually possible (or at least very dif cult) to specify a compact global algorithm that they are trying to solve. Instead, the result is an example of emergent behaviour which results from their interaction. Sometimes the terms self-organising system or connectionism are used to describe this phenomenon. Although the ability to adapt behaviour in the light of past experience is not exclusive to agent architectures, (and some agents are nonadaptive) the methods for achieving this through modi cation of individual agent goals, is rather speci c to them.

The representative fuzzy adaptation rules and the cases thus obtained then constitute the thin-client-side case base in the distributed CBR system (Note that the competence of this case base will be similar to that of the.

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