[ Team LiB ] Recipe 4.10 Updating a DataSet with a Many-to-Many Relationship Problem You have a DataSet that contains two tables that have a many-to-many relationship between them using a third junction table.
[ Team LiB ] Recipe 10.11 Creating DataSet Relationships from SQL Server Relationships Problem You need to create relationships between DataTable objects within your DataSet at runtime based on the relationships that are defined in your SQL Server database.
[ Team LiB ] Recipe 6.8 Creating Constraints, PrimaryKeys, Relationships Based on Multiple Columns Problem You need to create a constraint, primary key, or a relationship between two tables in a DataSet using more than one column. Solution Use the System.Data.
Sociolinguists have long argued that social context influences language use in all manner of ways, resulting in lects 1 . This paper explores a text classification problem we will call lect modeling, an example of what has been termed computational sociolinguistics. In particular, we use machine learning techniques to identify social power relationships between members of a social network, based purely on the content of their interpersonal communication.
The traditional hierarchical structure of cellular networks has led
to deployment models which are heavily centralized. Mobility
management with centralized mobility anchoring in existing
hierarchical mobile networks is quite prone to suboptimal routing and
issues related to scalability. Centralized functions present a
single point of failure, and inevitably introduce longer delays and
higher signaling loads for network operations related to mobility
We address the rating-inference problem, wherein rather than simply decide whether a review is “thumbs up” or “thumbs down”, as in previous sentiment analysis work, one must determine an author’s evaluation with respect to a multi-point scale (e.g., one to ﬁve “stars”). This task represents an interesting twist on standard multi-class text categorization because there are several different degrees of similarity between class labels; for example, “three stars” is intuitively closer to “four stars” than to “one star”.
There are many possible different semantic relationships between nominals. Classiﬁcation of such relationships is an important and difﬁcult task (for example, the well known noun compound classiﬁcation task is a special case of this problem). We propose a novel pattern clusters method for nominal relationship (NR) classiﬁcation. Pattern clusters are discovered in a large corpus independently of any particular training set, in an unsupervised manner. Each of the extracted clusters corresponds to some unspeciﬁed semantic relationship. ...
We translate sentence generation from TAG grammars with semantic and pragmatic information into a planning problem by encoding the contribution of each word declaratively and explicitly. This allows us to exploit the performance of off-the-shelf planners. It also opens up new perspectives on referring expression generation and the relationship between language and action.
Systemic grammar has been used for AI text generation work in the past, but the Implementations have tended be ad hoc or inefficient. This paper presents an approach to systemic text generation where AI problem solving techniques are applied directly to an unadulterated systemic grammar. This approach is made possible by a special relationship between systemic grammar and problem solving: both are organized primarily as choosing from alternatives. The result is simple, efficient text generation firmly based in a linguistic theory. ...
After completing this chapter, students will be able to: Database design process, what is ER Model? And why? A sample database application, ER Model Concepts, ER diagram and naming conventions, alternative diagrammatic notations, problems with ER models. Inviting you to refer.
Chapter 24 - Measuring domestic output and national income. After reading this chapter, you should be able to: Explain how gross domestic product (GDP) is defined and measured; describe the relationships among GDP, net domestic product, national income, personal income, and disposable income; discuss the nature and function of a GDP price index, and describe the difference between nominal GDP and real GDP; list and explain some limitations of the GDP measure.
Chapter 27 - Basic macroeconomic relationships. After reading this chapter, you should be able to: Describe how changes in income affect consumption (and saving), list and explain factors other than income that can affect consumption, explain how changes in real interest rates affect investment, identify and explain factors other than the real interest rate that can affect investment, illustrate how changes in investment increase or decrease real GDP by a multiple amount.
After reading this chapter, you should be able to: Identify and explain the functions of money and the components of the U.S. money supply; describe what "backs" the money supply, making us willing to accept it as payment; discuss the makeup of the Federal Reserve and its relationship to banks and thrifts;...
In this chapter, students will be able to understand: Explain the relationship between short-run aggregate supply and long-run aggregate supply; discuss how to apply the "extended" (short-run/long-run) AD-AS model to inflation, recessions, and economic growth; explain the short-run trade-off between inflation and unemployment (the Phillips Curve); discuss why there is no long-run trade-off between inflation and unemployment; explain the relationship between tax rates, tax revenues, and aggregate supply.
Care for pregnant women differs fundamentally from most other medical
endeavours. ‘Routine’ care during pregnancy and birth interferes in the
lives of healthy people, and in a process which has the potential to be
an important life experience. It is diffi cult to measure the extent to which
our efforts may, for example, disturb the development of a confi dent,
nurturing relationship between mother and baby. The harmful effects we
measure in randomised trials are limited to those we have predicted may
The classic text on helicopter aerodynamics, "Aerodynamics of the Helicopter" has been in continuous print for over fifty years. Clearly written and well illustrated, the book focuses on fundamental physical relationships without a highly complex mathematical development. The emphasis on fundamentals makes the book an ideal - indeed, necessary - first step towards more advanced study.
Even those who ﬁnd algebra easy are stumped by word problems (also
called ‘‘applications’’). In this book, word problems are treated very care-
fully. Two important skills needed to solve word problems are discussed
earlier than the word problems themselves. First, you will learn how to
ﬁnd quantitative relationships in word problems and how to represent
them using variables. Second, you will learn how to represent multiple quan-
tities using only one variable.
This coaching toolkit contains a selection of forms, models and exercises,
and an explanation of how and when to use them. We have also included a
chapter on setting up the coaching relationship, which provides valuable
resources on managing the coaching relationship and your own continuous
The toolkit is designed to be used like a reference document so that you
can dip into the topic you need when you need it. Each tool contains an
overview and model diagram so that you get both the words and the big
A detailed empirical study of how small business owners finance their
enterprises, this volume compares the experiences of women with
those of men. The author redresses an over-reliance on subjective
and anecdotal evidence of discrimination in this area with a controlled
study of forty matched pairs of male/female owners, and their
strategies for raising finances.
The book finds considerable similarities between female and male
entrepreneurs in the type and amount of finance used in the business.
Everyone keeps data. Big organizations spend millions to look after their payroll, customer, and transaction
data. The penalties for getting it wrong are severe: businesses may collapse, shareholders and customers lose
money, and for many organizations (airlines, health boards, energy companies), it is not exaggerating to say that
even personal safety may be put at risk. And then there are the lawsuits. The problems in successfully designing,
installing, and maintaining such large databases are the subject of numerous books on data management and