Chapter 2 - Job performance. In this chapter, we will address the following questions: What is job performance? What is task performance? How do organizations identify the behaviors that underlie task performance? What is citizenship behavior? What is counterproductive behavior? What workplace trends are affecting job performance in today's organizations? How can organizations use job performance information to manage employee performance?
(BQ) Part 2 book "Developmental behavioral pediatrics" presents the following contents: Outcomes—school function and other task performance, outcomes—physical functioning, outcomes—developmental, assessment, management and treatment, legal, administrative, and ethical issues.
Indexes are important. Not only that, they are vastly important. No single structure aids in retrieving data from a
database more than an index. Indexes represent both how data is stored and the access paths by which data can
be retrieved from your database. Without indexes, a database is an unordered mess minus the roadmap to find
the information you seek.
Throughout my experience with customers, one of the most common resolutions that I provide for
performance tuning and application outages is to add indexes to their databases.
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....
The Subcommittee on Body Composition, Nutrition, and Health of Military Women (BCNH subcommittee)
was established in 1995 through a grant administered by the U.S. Army Medical Research and Materiel
Command as part of the Defense Women's Health Research Program.
To date, parsers have made limited use of semantic information, but there is evidence to suggest that semantic features can enhance parse disambiguation. This paper shows that semantic classes help to obtain signiﬁcant improvement in both parsing and PP attachment tasks. We devise a gold-standard sense- and parse tree-annotated dataset based on the intersection of the Penn Treebank and SemCor, and experiment with different approaches to both semantic representation and disambiguation. For the Bikel parser, we achieved a maximal error reduction rate over the baseline parser of 6.
Fine-grained sense distinctions are one of the major obstacles to successful Word Sense Disambiguation. In this paper, we present a method for reducing the granularity of the WordNet sense inventory based on the mapping to a manually crafted dictionary encoding sense hierarchies, namely the Oxford Dictionary of English. We assess the quality of the mapping and the induced clustering, and evaluate the performance of coarse WSD systems in the Senseval-3 English all-words task.
This book is about the structure and function of computers. Its purpose is to present, as
clearly and completely as possible, the nature and characteristics of modern-day computer
This task is challenging for several reasons. First, there is a tremendous variety of products
that can rightly claim the name of computer, from single-chip microprocessors costing a
few dollars to supercomputers costing tens of millions of dollars. Variety is exhibited not
only in cost, but also in size, performance, and application....
This paper discusses the task of formulating a model of linguistic performance and proposes an approach toward this goal that is oriented toward an embodiment of the model as a digital-computer program. The methodology of current linguistic theory is criticized for several of its features that render it inapplicable to a realistic model of performance, and remedies for these deficiencies are proposed.
We propose a language model based on a precise, linguistically motivated grammar (a hand-crafted Head-driven Phrase Structure Grammar) and a statistical model estimating the probability of a parse tree. The language model is applied by means of an N-best rescoring step, which allows to directly measure the performance gains relative to the baseline system without rescoring. To demonstrate that our approach is feasible and beneﬁcial for non-trivial broad-domain speech recognition tasks, we applied it to a simpliﬁed German broadcast-news transcription task.
In machine learning, whether one can build a more accurate classiﬁer by using unlabeled data (semi-supervised learning) is an important issue. Although a number of semi-supervised methods have been proposed, their effectiveness on NLP tasks is not always clear. This paper presents a novel semi-supervised method that employs a learning paradigm which we call structural learning.
Patent translation is a complex problem due to the highly specialized technical vocabulary and the peculiar textual structure of patent documents. In this paper we analyze patents along the orthogonal dimensions of topic and textual structure. We view different patent classes and different patent text sections such as title, abstract, and claims, as separate translation tasks, and investigate the inﬂuence of such tasks on machine translation performance.
Chapter 6 - Motivation. In this chapter, we will address the following questions: What is motivation? What three beliefs help determine work effort, according to expectancy theory? What two qualities make goals strong predictors of task performance, according to goal setting theory? What does it mean to be equitably treated according to equity theory, and how do employees respond to inequity?...
This paper presents a comparative evaluation of several state-of-the-art English parsers based on different frameworks. Our approach is to measure the impact of each parser when it is used as a component of an information extraction system that performs protein-protein interaction (PPI) identiﬁcation in biomedical papers. We evaluate eight parsers (based on dependency parsing, phrase structure parsing, or deep parsing) using ﬁve different parse representations.
In this paper, we present an integrated model of the two central tasks of dialog management: interpreting user actions and generating system actions. We model the interpretation task as a classication problem and the generation task as a prediction problem. These two tasks are interleaved in an incremental parsing-based dialog model. We compare three alternative parsing methods for this dialog model using a corpus of human-human spoken dialog from a catalog ordering domain that has been annotated for dialog acts and task/subtask information.
We address the task of automatically predicting if summarization system performance will be good or bad based on features derived directly from either single- or multi-document inputs. Our labelled corpus for the task is composed of data from large scale evaluations completed over the span of several years. The variation of data between years allows for a comprehensive analysis of the robustness of features, but poses a challenge for building a combined corpus which can be used for training and testing.
Computer technology has made incredible progress in the roughly 55 years since
the ﬁrst general-purpose electronic computer was created. Today, less than a
thousand dollars will purchase a personal computer that has more performance,
more main memory, and more disk storage than a computer bought in 1980 for
$1 million. This rapid rate of improvement has come both from advances in the
technology used to build computers and from innovation in computer design.
This book is about the structure and function of computers. Its purpose is to present, as
clearly and completely as possible, the nature and characteristics of modern-day computers.
This task is a challenging one for two reasons.
First, there is a tremendous variety of products, from single-chip microcomputers
costing a few dollars to supercomputers costing tens of millions of dollars, that can
rightly claim the name computer.Variety is exhibited not only in cost, but also in size,
performance, and application.
A stakeholder is anyone who has an A stakeholder is anyone who has an
expectation regarding the behaviour or expectation regarding the behaviour or
performance of an organisation.Strategic management is effective only Strategic management is effective only
when resources match stakholders needs when resources match stakholders needs
and expectations and change to fit into a and expectations and change to fit into a
tubulent environment. tubulent environment.
“The highest-performing people I know are those who have installed the best
tricks in their lives.”—David Allen, productivity guru 1
Contrary to the popular misuse of the term to denote a computer criminal, a
hacker is someone who solves a problem in a clever or non-obvious way. A
lifehacker uses workarounds and shortcuts to overcome everyday difficulties
of the modern worker: an interrupt-driven existence of too much to do and too
many distractions to keep you from doing it.