Decision rules

Xem 1-20 trên 90 kết quả Decision rules
  • Although we use the term “cash flow”, the dollar values used might not be the same as the actual cash amounts. In some instances, actual ‘market prices’ do not reflect the true value of the project’s input or output.

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  • Tuyển tập các báo cáo nghiên cứu về y học được đăng trên tạp chí y học Critical Care giúp cho các bạn có thêm kiến thức về ngành y học đề tài: A diagnosis-based clinical decision rule for spinal pain part 2: review of the literature...

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  • Đồ án tốt nghiệp: Nghiên cứu Datamining microsoft server 2005 với thuật toán microsoft association rules và microsoft decision tree trình bày về khái niệm khai thác dữ liệu; các thuật toán khai thác dữ liệu; decision tree; định hướng phát triển. Mời các bạn tham khảo.

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  • Association rules represent a promising technique to find hidden patterns in a medical data set. The main issue about mining association rules in a medical data set is the large number of rules that are discovered, most of which are irrelevant. Such number of rules makes search slow and interpretation by the domain expert difficult. In this work, search constraints are introduced to find only medically significant association rules and make search more efficient.

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  • Examines the potential of rule-based modeling as an analysis tool for investigating resource allocation policy issues.Focus is on resource allocation within B-52 flying organizations of the Strategic Air Command (SAC). A rule-based computer system, DOSS (Decision Oriented Scheduling System), is demonstrated to provide a valid model of many variables that affect resource allocation of aircrews and ......

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  • Over several years, we have developed an approach to spoken dialogue systems that includes rule-based and trainable dialogue managers, spoken language understanding and generation modules, and a comprehensive dialogue system architecture. We present a Reinforcement Learning-based dialogue system that goes beyond standard rule-based models and computes on-line decisions of the best dialogue moves. The key concept of this work is that we bridge the gap between manually written dialog models (e.g.

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  • Named entity (NE) recognition is a task in which proper nouns and numerical information in a document are detected and classified into categories such as person, organization, location, and date. NE recognition plays an essential role in information extraction systems and question answering systems. It is well known that hand-crafted systems with a large set of heuristic rules are difficult to maintain, and corpus-based statistical approaches are expected to be more robust and require less human intervention. ...

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  • After gathering information, consumers then need to begin the process of making a decision about resolving their problem. In this chapter, we will examine the evaluative criteria used; the measurement aspects of evaluative criteria; note that consumers’ judgments can be inaccurate; and that as judgement is difficult, consumers use surrogate indicators; we’ll study the decision rules that may be used; and finally discuss how to utilise this knowledge to formulate marketing strategy.

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  • To study PP attachment disambiguation as a benchmark for empirical methods in natural language processing it has often been reduced to a binary decision problem (between verb or noun attachment) in a particular syntactic configuration. A parser, however, must solve the more general task of deciding between more than two alternatives in many different contexts. We combine the attachment predictions made by a simple model of lexical attraction with a full-fledged parser of German to determine the actual benefit of the subtask to parsing.

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  • We describe a domain-independent semantic interpretation architecture suitable for spoken dialogue systems, which uses a decision-list method to effect a transparent combination of rule-based and data-driven approaches. The architecture has been implemented and evaluated in the context of a mediumvocabulary command and control task.

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  • Accounting & Financial Statement Analysis. Accounting is used by a variety of organizations, from the federal government to nonprofit organizations to small businesses to corporations. We will be discussing accounting rules as they pertain to publicly traded companies.

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  • Whether the phrase is used mechanically, as part of the daily ritual, whether it is used ironically, sadly or even cruelly is not specified. On a stage, the actor and director would come to a decision about how to interpret the phrase based on their concept of characterization and of the overall meaning and structure of the play.

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  • Decision support systems (DSS) have evolved over the past four decades from theoretical concepts into real world computerized applications. DSS architecture contains three key components: a knowledge base, a computerized model, and a user interface. DSS simulate cognitive decision-making functions of humans based on artificial intelligence methodologies (including expert systems, data mining, machine learning, connectionism, logistical reasoning, etc.) in order to perform decision support functions.

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  • Early portions of this textbook dealt mostly with financial accounting. Financial accounting is concerned with reporting to external parties such as owners, analysts, and creditors. These external users rarely have access to the information that is internal to the organization, nor do they specify the exact information that will be presented. Instead, they must rely on the general reports presented by the company. Therefore, the reporting structure is well defined and standardized.

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  • C H A P T E R 11 Finding the right way – analysing decisions Chapter objectives This chapter will help you to: ■ ■ ■ work out expected values using probabilities appreciate attitudes to risk and apply decision rules construct decision trees and use them to decide between alternative strategies ■ ask ‘what if’ question about conclusions from decision trees by employing sensitivity analysis ■ make use of Bayes’ rule to find posterior probabilities for decision trees

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  • In response to various pressures, businesses have begun to report externally on their environmental policy and performance. The significance of such external reporting depends on the extent of changes in management culture and systems and on how new measures influence management decisions. The 'greening of accountancy' involves a reappraisal of how to identify and measure the relevant costs of processes and products (such as 'Total Cost Assessment') and a redesign of incentive mechanisms.

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  • There are no steadfast rules or Department of State regulations that state that an EFM of a diplomat operating a business for the exclusive use of other diplomats is exempt from local business start-up policies, including registration and paying local taxes. However, since both the owner/operator of the business and all clients or customers have diplomatic status, the logical extension would be that this exemption does exist. Still, be careful in making such an assumption.

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  • University students go on field research trips or excursions during the low season. Therefore, destinations have to identify the seasonality patterns of their various markets and attract compatible segments, which will enable them to maximise their total yield (both average expenditure and occupancy levels) (O’Brien, 1996). It is also important to understand other factors that influence the decision of consumers to purchase. The social status and peer groups of consumers often influence what is acceptable and desirable as a destination.

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  • In the example of the voting primaries above there are 236 or about 70 billion subsets. Of course, we cannot deal with this many subsets in a practical problem, but fortunately we are usually interested in only a few of the subsets. The most interesting subsets are those which can be defined by means of a simple rule such as “the set of all logical possibilities in which C loses at least two primaries”. It would be diffi- cult to give a simple description for the subset containing the elements {P1, P4, P14, P30, P34}.

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  • A novel video smoke detection method using both color and motion features is presented. The result of optical flow is assumed to be an approximation of motion field. Background estimation and color-based decision rule are used to determine candidate smoke regions. The Lucas Kanade optical flow algorithm is proposed to calculate the optical flow of candidate regions. And the motion features are calculated from the optical flow results and use to differentiate smoke from some other moving objects.

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