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Hierarchy Home A Random Walk Through Ada Tags blog programming (Show all tags) (Show all pages) Published 2014 April 27 Last updated 2016 January 24 Copyright © 2008-2015 David Given , unless specified otherwise Got any questions? Email me at dg@cowlark.com ! cowlark.com : A Random Walk Through Ada Published: 2014 April 27 So the C programming language has been getting a lot of bad press recently; a really stupid bug in some C code has compromised some of the core security infrastructure on the internet. The fix is easy, but the knock-on effects are going to go on for years and will cost serious amounts of money. As a result, people have been asking: why are we still writing software in a language which makes writing secure, robust code so hard? It's a fair question. We've known ...
previous next contents top An extensive discussion of subtyping, insidious problems with subclassing, and practical rules to avoid them. Does OOP really separate interface from implementation? The manifestation of a problem: an example of how an implementation inheritance prevents separation of interface and implementation Subtyping vs. Subclassing Explanation why the problem above happened Subclassing errors, OOP style and practically checkable to prevent them Demonstration how statically checkable rules can prevent the problem from occurring [a separate document] A more formal and general presentation of this topic is given in a paper and a talk at a Monterey 2001 workshop (June 19-21, 2001, Monterey, CA): Subtyping-OOP.ps.gz [35K] and MTR2001-Subtyping-talk.ps.gz [67K] Decoupling of abstraction from implementation is one of the holy grails of good design. Object...
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<![endif] Home Moments Search query Search Twitter Remove Verified account @ Suggested users Verified account @ Verified account @ Language: English Bahasa Indonesia Bahasa Melayu Català Čeština Dansk Deutsch English UK Español Filipino Français Hrvatski Italiano Magyar Nederlands Norsk Polski Português Română Slovenčina Suomi Svenska Tiếng Việt Türkçe Ελληνικά Български език Русский Српски Українська мова עִבְרִית العربية فارسی मराठी हिन्दी বাংলা ગુજરાતી தமிழ் ಕನ್ನಡ ภาษาไทย 한국어 日本語 简体中文 繁體中文 Have an account? Log in Have an account? Remember me · Forgot password? New to Twitter? Sign up Albert Omoss @ albertomoss Albert Omoss @ albertomoss Computational A...
<![endif] Home Moments Search query Search Twitter Remove Verified account @ Suggested users Verified account @ Verified account @ Language: English Bahasa Indonesia Bahasa Melayu Català Čeština Dansk Deutsch English UK Español Filipino Français Hrvatski Italiano Magyar Nederlands Norsk Polski Português Română Slovenčina Suomi Svenska Tiếng Việt Türkçe Ελληνικά Български език Русский Српски Українська мова עִבְרִית العربية فارسی मराठी हिन्दी বাংলা ગુજરાતી தமிழ் ಕನ್ನಡ ภาษาไทย 한국어 日本語 简体中文 繁體中文 Have an account? Log in Have an account? Remember me · Forgot password? New to Twitter? Sign up Paperback Paradise @ paprbckparadise Paperback Paradise @ paprbckparad...
CentralNotice From Wikipedia, the free encyclopedia Jump to: navigation , search NeuroEvolution of Augmenting Topologies ( NEAT ) is a genetic algorithm for the generation of evolving artificial neural networks (a neuroevolution technique) developed by Ken Stanley in 2002 while at The University of Texas at Austin . It alters both the weighting parameters and structures of networks, attempting to find a balance between the fitness of evolved solutions and their diversity. It is based on applying three key techniques: tracking genes with history markers to allow crossover among topologies, applying speciation (the evolution of species) to preserve innovations, and developing topologies incrementally from simple initial structures ("complexifying"). 1 Performance 2 Complexification 3 Implementation 4 Extensions to NEAT 4.1 rtNEAT 4.2 Phased Pruning 4.3 HyperN...
The Infinite Jukebox For when your favorite song just isn't long enough Upload your own MP3 Search for a track Search Or select a recent , most played or most uploaded track: New song Tune Play Tweet Total Beats: 0 <span id='sbeats'> PC: <span id='playcount'> 0 </span></span> Listen Time: 00:00:00 You can tune control the frequency and quality of the branching. See the FAQ for more details. Branch Similarity Threshold: 50 Higher Quality More Branches Branch Probability Range: % to % Low High Branch Probability Ramp-up Speed: 20 % Slow Fast Loop extension optimization: Allow only reverse branches : Allow only long branches : Remove sequential branches: Branch chance (%): 0 Last threshold: 0 Total beats: Total branches: Longest loop (beats): Longest loop (%): Deleted branches: 0 Reset Pow...
This is a dumb hack, we should only have one or the other from the the template context, so only one of the following will be rendered. ...
