Eloquent JavaScript: A Modern Introduction to Programming. Regex Tester. Functional Programming For The Rest of Us. Monday, June 19, 2006 Introduction Programmers are procrastinators.
Get in, get some coffee, check the mailbox, read the RSS feeds, read the news, check out latest articles on techie websites, browse through political discussions on the designated sections of the programming forums. Use functional programming techniques to write elegant JavaScript. Introduction Functional programming languages have been in academia for quite some time, but historically they do not have extensive tools and libraries available.
With the advent of Haskell in the .NET platform, functional programming is becoming more popular. Some traditional programming languages, such as C++ and JavaScript, import constructs and features from functional programming. In many cases, repetitive code in JavaScript leads to clumsy coding. CoffeeScript. Twitter Bootstrap. Implement Simple Threadsafe Cache using HashMap without using Synchronized Collection. JCS – Java Caching System. Java Caching System JCS is a distributed caching system written in Java.
It is intended to speed up applications by providing a means to manage cached data of various dynamic natures. Like any caching system, JCS is most useful for high read, low put applications. Hibernate EHCache Second Level Caching Example Tutorial. One of the major benefit of using Hibernate in large application is it’s support for caching, hence reducing database queries and better performance.
In earlier example, we looked into the Hibernate First Level Cache and today we will look into Hibernate Second Level Cache using Hibernate EHCache implementation. Hibernate Second Level cache providers include EHCache and Infinispan, but EHCache is more popular and we will use it for our example project. However before we move to our project, we should know different strategies for caching an object. Read Only: This caching strategy should be used for persistent objects that will always read but never updated.
It’s good for reading and caching application configuration and other static data that are never updated. Since EHCache supports all the above caching strategies, it’s the best choice when you are looking for second level caching in hibernate. Let’s look into each component of the application one by one. EHCache Configuration File. Liferay: Put people at the heart of your business. Grails - The search is over. Cython: C-Extensions for Python. The Interactive Activation and Competition Network: How Neural Networks Process Information.
Copyright © Simon Dennis, 1997. * These sections contain some mathematics which can be omitted on a first reading if desired.
Introduction The Interactive Activation and Competition network (IAC, McClelland 1981; McClelland & Rumelhart 1981; Rumelhart & McClelland 1982) embodies many of the properties that make neural networks useful information processing models. In this chapter, we will use the IAC network to demonstrate several of these properties including content addressability, robustness in the face of noise, generalisation across exemplars and the ability to provide plausible default values for unknown variables.
The chapter begins with an example of an IAC network to allow you to see a full network in action. An IAC network consists of a number of competitive pools of units (see figure 1). Figure 1: The Jets and Sharks IAC network. A New Cluster Based Fuzzy Model Tree for Data Modeling. This paper proposes a fuzzy model tree, so-called c-fuzzy model tree, consisting of local linear models using fuzzy cluster for data modeling.
Cluster centers are calculated by fuzzy clustering method using all input and output attributes. And then, linear models are constructed at internal nodes with fuzzy membership grades between centers and input attributes. The expansion of internal node is determined by comparing the error calculated at the parent node with the sum of ones at the child nodes.
On the other hand, data prediction is performed with the linear model having the highest fuzzy membership value between input attributes and cluster centers at the leaf nodes. To show the effectiveness of the proposed method, we have applied this method to real world data set. Agents that Want and Like. Shibboleth - Home. An Introduction to JavaScript Object Notation (JSON) in JavaScript and .NET. MSDN Library Articles and Overviews Web Applications (ASP.NET) Client-side Development.
IronRuby.net / IronRuby - Home. ArangoDB - The universal free and open source nosql database. UI Interactions - The best inspirations for you. Online Fantom Playground. The Tales web framework for Fantom. Fantom Programming Language. The Scala Programming Language. Project Lombok. Getting Started. Database setup with DBTestCase subclass Step 2: Extend the DBTestCase class Now you need to create a test class.
One way to use Dbunit is to have the test class extend the DBTestCase class. DBTestCase extends the JUnit TestCase class. A template method is required to be implemented: getDataSet() to return the dataset you created in step 1. You may also use a subclasses of DBTestCase, such as one of these: The following is a sample implementation that returns a connection to a Hypersonic database and a xml dataset: Alternatively, PrepAndExpectedTestCase: (see the class JavaDoc) TODO add example here Step 3: (Optional) Implement getSetUpOperation() and getTearDownOperation() methods By default, Dbunit performs a CLEAN_INSERT operation before executing each test and performs no cleanup operation afterward. FBWiki: CommunityTutorials. PgDesigner: Datamodel designer for PostgreSQL. System.Data.SQLite: System.Data.SQLite Download Page. Build Product Names.
Play Framework - Build Modern & Scalable Web Apps with Java and Scala. POCO C++ Libraries.