Xem 1-20 trên 674 kết quả Problems related
  • Chapter 21, "Troubleshooting techniques and client relations," covers the techniques and procedures used to resolve problems related to both hardware and software. It also discusses how to recover from a complete hard drive failure and corruption of core system files and how to deal with clients.

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  • There are a wide range of problems that are considered psychological disorders, including mental and emotional disorders, problems related to alcohol and drug abuse, and some diseases that cause both emotional and physical symptoms. Psychological disorders often begin in early childhood, but during adolescence we see a sharp increase in the number of people affected by these disorders. It has been estimated that about 20 percent of the U.S. population will have some form of mental disorder sometime during their lifetime. Some psychological disorders appear following severe stress or trauma.

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  • API publications necessarily address problems of a general nature. With respect to particular circumstances, local, state, and federal laws and regulations should be reviewed. API is not undertaking to meet the duties of employers, manufacturers, or suppliers to warn and properly train and equip their employees, and others exposed, concerning health and safety risks and precautions, nor undertaking their obligations under local, state, or federal laws.

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  • Oracle Database 11g Performance Tuning Recipes is a ready reference for database administrators in need of immediate help with performance issues relating to Oracle Database. The book takes an example-based approach, wherein each chapter covers a specific problem domain. Within each chapter are "recipes," showing by example how to perform common tasks in that chapter’s domain. Solutions in the recipes are backed by clear explanations of background and theory from the author team. Whatever the task, if it’s performance-related, you’ll probably find a recipe and a solution in this book....

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  • [ Team LiB ] Recipe 2.17 Displaying Columns from a Related DataTable Problem You want to add a column to a DataTable that displays a value from a row in a related table in the DataSet. Solution Use expression columns to retrieve lookup values based on DataRelation objects.

    pdf4p luvpro 04-08-2010 31 6   Download

  • In this second edition of Industrial Servo Control Systems, the chapters have been updated and expanded and a new chapter has been added on servo compensating techniques. The book continues to be dedicated to the practicing engineer making the transition from academic theory to the realworld solution of engineering problems related to the application of servo drives to industrial machines. Part I focuses on the evolution and classification of servos, with descriptions of servo drive actuators, amplifiers, feedback transducers, performance, and troubleshooting techniques.

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  • B.5. Startup Problems Not every problem you encounter is related to running applications. Sometimes trouble strikes before you even get that far. The following are examples.

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  • Open-ended spoken interactions are typically characterised by both structural complexity and high levels of uncertainty, making dialogue management in such settings a particularly challenging problem. Traditional approaches have focused on providing theoretical accounts for either the uncertainty or the complexity of spoken dialogue, but rarely considered the two issues simultaneously.

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  • In this paper, we observe that there exists a second dimension to the relation extraction (RE) problem that is orthogonal to the relation type dimension. We show that most of these second dimensional structures are relatively constrained and not difficult to identify. We propose a novel algorithmic approach to RE that starts by first identifying these structures and then, within these, identifying the semantic type of the relation.

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  • Moreover it is important to be able to restrict this invasive investigation to men who are likely to benefit from treatment of this malignancy. There are currently concerns that Western clinicians and healthcare providers are over-diagnosing large numbers of men who would otherwise never have been troubled by their clinically undetectable prostate cancer.

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  • The book includes collection of theoretical papers dealing with the species problem, which is among most fundamental issues in biology.

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  • Motivated by Google Sets, we study the problem of growing related words from a single seed word by leveraging user behaviors hiding in user records of Chinese input method. Our proposed method is motivated by the observation that the more frequently two words cooccur in user records, the more related they are. First, we utilize user behaviors to generate candidate words. Then, we utilize search engine to enrich candidate words with adequate semantic features.

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  • Creating labeled training data for relation extraction is expensive. In this paper, we study relation extraction in a special weakly-supervised setting when we have only a few seed instances of the target relation type we want to extract but we also have a large amount of labeled instances of other relation types. Observing that different relation types can share certain common structures, we propose to use a multi-task learning method coupled with human guidance to address this weakly-supervised relation extraction problem. ...

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  • We notion of argue that in domains can be where it a strong can be Mann and Moore [1981], on the other hand, while assembling texts dynamically to suit their audience, do so by "over-generating" the set of facts that will be related, and then passing them all through a special filter, leaving out those that are judged to be already known to the audience and letting through those that are new. McKeown [1981] uses a similar technique -- her generator, like Mann and Moore's, must examine every potentially mentionable object in the domain data base and make...

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  • To give appropriate translation equivalents for target words is one of the most fundamental problems in machine translation systrms. Especially, when the MT systems handle languages that have completely different structures like Japanese and European languages as source and target languages. In this report, we discuss about the data strucutre that enables appropriate selections of translation equivalents for verbs in the target language. This structure is based on the concepts strucutre with associated information relating source and target languages.

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  • In this paper we investigate the relevance of aspectual type for the problem of temporal information processing, i.e. the problems of the recent TempEval challenges. For a large list of verbs, we obtain several indicators about their lexical aspect by querying the web for expressions where these verbs occur in contexts associated with specific aspectual types. We then proceed to extend existing solutions for the problem of temporal information processing with the information extracted this way. ...

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  • The topic of the paper is the problem how to define case relations by semantic predicates. A general principle is outlined, which renders it possible to "calculate" case relations for a given representation of a (verb-)sememe by means of expressions. This principle is based on an assignment of case relations to primitive predicates and modification rules for nested expressions.

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  • A challenging problem in open information extraction and text mining is the learning of the selectional restrictions of semantic relations. We propose a minimally supervised bootstrapping algorithm that uses a single seed and a recursive lexico-syntactic pattern to learn the arguments and the supertypes of a diverse set of semantic relations from the Web. We evaluate the performance of our algorithm on multiple semantic relations expressed using “verb”, “noun”, and “verb prep” lexico-syntactic patterns. ...

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  • We present a simple linguistically-motivated method for characterizing the semantic relations that hold between two nouns. The approach leverages the vast size of the Web in order to build lexically-specific features. The main idea is to look for verbs, prepositions, and coordinating conjunctions that can help make explicit the hidden relations between the target nouns.

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  • This paper studies textual inference by investigating comma structures, which are highly frequent elements whose major role in the extraction of semantic relations has not been hitherto recognized. We introduce the problem of comma resolution, defined as understanding the role of commas and extracting the relations they imply.

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