Expert Spring MVC and Web Flow provides in-depth coverage of Spring MVC and Spring Web Flow, two highly customizable and powerful web frameworks brought to you by the developers and community of the Spring Framework. Spring MVC is a modern web application framework built upon the Spring Framework, and Spring Web Flow is a new project that compliments Spring MVC for building reusable web controller modules that encapsulate rich page navigation rules.
With this new edition of Effective Expert Witnessing, Dr. Matson has added
new information that is critical to expert witnessing in the late 1990s. In the
decade since the first edition of this book was published, expert witnessing has
been transformed by a series of court rulings generally concerned with the
reliability, relevancy, and admissibility of expert testimony. Expert witnessing
and trial strategy have not been the same since these decisions.
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.
This paper describes an architecture to convert Sinhala Unicode text into phonemic specification of pronunciation. The study was mainly focused on disambiguating schwa-/\/ and /a/ vowel epenthesis for consonants, which is one of the significant problems found in Sinhala. This problem has been addressed by formulating a set of rules. The proposed set of rules was tested using 30,000 distinct words obtained from a corpus and compared with the same words manually transcribed to phonemes by an expert. The Grapheme-to-Phoneme (G2P) conversion model achieves 98 % accuracy. ...
This paper presents a semantically oriented, rule based method for single sentence text generation and discusses its implementation in the Kafka generator. This generator is part of the XCALIBUR natural language interface developed at CMU to provide natural language facilities for a wide range of expert systems and data bases. Kafka takes as input the knowledge representation used in XCALIBUR system and incrementally transforms it first into conceptual dependency graphs and then into English?
As technology evolves, it is always necessary to integrate data between different systems.
The integration component is increasingly gaining importance, especially the component
responsible for data quality as well as the cleaning rules applied between source and
destination databases. Different vendors have their own integration tools and components,
and Microsoft with its SSIS tool is recognized as one of the leaders in this field.
Let’s begin with the markets themselves, and with fear and greed. We have all
heard the cliches about fear and greed. They rule the markets. In fact, that’s all the
markets are—a reflection of these emotions. In order to make money trading, you
must learn to control your fear and greed.
The ability to create intelligent machines has intrigued humans since ancient times, and
today with the advent of the computer and 50 years of research into AI programming
techniques, the dream of smart machines is becoming a reality. Researchers are creating
systems, which can mimic human beings. Accurate mathematical models neither always
exist nor can they be derived for all complex environments because the domain may not
be thoroughly understood. The solution consists of constructing rules that apply when
input values lie within certain designer-defined categories....
Expert Systems are computer systems which embody some of the experience
and specialised knowledge of an expert and thereby mimic the expert and act as
a consultant in a particular area. Knowledge is often represented in an Expert
System in a knowledge base, which is a network of interconnected rules which
represent the human expertise.
I have always relied on the knidness of strangers. This book would be about parrots had I not had the good lucky to study with Master Larry Sang and to meet Master Yoseph Yu, Yoey Yap and Grandmaster Yap Cheng Hai.
It’s the other four-letter word. The D-word. The D-bomb.
Why do we hate that word so much?
Hunger. Failure. Rules. Restrictions. Deprivation. Expectations.
Rebound weight-gain. Eating disorders. Strained relationships.
Bad foods. Bad moods. Bad breath. Guilt.
There are so many negative associations with the word diet, it’s no wonder that over half the North American population is overweight. We hate dieting. It’s torturous. Tacky. Totally depressing. And even worse, dieting doesn’t seem to work.
As will be apparent from other chapters in this book, it is a mistake to think
that case management begins and ends with the Criminal Procedure Rules (the
Rules).1 The Rules set out objectives and provide tools to assist the Judge and the
parties in the preparation and progression of a case. But the concepts are not new.
Quite apart from the Rules, the basics and philosophy of case management were
set out clearly in the judgment of Judge LJ in Chaaban.
As our society grows ever more reliant on computers, so it also becomes more vulnerable to computer crime. Cyber attacks have been plaguing computer users since the 1980s, and computer security experts are predicting that smart telephones and other mobile devices will also become the targets of cyber security threats in the future.
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Contents Part One: What Is An Expert? Greetings! How Do You Know You’re The Expert In Your Field? “Expert” Means...
The speech synthesis group at the ComputerBased Education Research Laboratory (CERL) of the University of Illinois at Urbana-Champalgn is developing a diphone speech synthesis system based on pltch-adaptive short-tlme Fourier transforms. This system accepts the phonemic specification of an utterance along with pitch, time, and amplitude warping functions in order to produce high quality speech output from stored dlphone templates.
Security in the virtual world of the Internet is even more confusing
than in the real world we inhabit. Buzzwords and marketing hype only
serve to add to the puzzle.Vendors and free products abound, but
according to the experts, the Internet world is becoming more dangerous
every day. How can that be? How can all these solutions from so
many directions not solve even the basic problems?
The answer is not simple because the problems are so complex.
Security is difficult to create and maintain. Security is messy.
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.
DESIGN AND ANALYSIS OF PROPOSITIONAL-LOGIC RULE-BASED SYSTEMS
Real-time decision systems are computer-controlled systems that must react to events in the external environment by making decisions based on sensor inputs and state information sufﬁciently fast to meet environment-imposed timing constraints. They are used in applications that would require human expertise if such decision systems were not available.
OPTIMIZATION OF RULE-BASED SYSTEMS
As we have seen in chapters 10 and 11, embedded rule-based expert systems must satisfy stringent timing constraints when applied to real-time environments. We now describe a novel approach to reduce the response time of rule-based expert systems. This optimization is needed when a rule-based system does not meet the speciﬁed response-time constraints. Our optimization method is based on a construction of the reduced cycle-free ﬁnite-state space-graph.
TIMING ANALYSIS OF PREDICATE-LOGIC RULE-BASED SYSTEMS
As rule-based expert systems become widely adopted in new application domains such as real-time systems, ensuring that they meet stringent timing constraints in these safety-critical and time-critical environments emerges as a challenging problem. As described in detail in chapter 10, in these systems, a change in the environment may trigger a number of rule ﬁrings to compute an appropriate response.