Genetic algorithms | Genetic programming
A schema (pl. schemata) is a template in computer science used in the field of genetic algorithms that identifies a subset of strings with similarities at certain string positions. Schemata are a special case of cylinder sets, forming a basis for a product topology on strings. In other words, schemata can be used to generate a topology on a space of strings. (Wikipedia).
9.1: Genetic Algorithm: Introduction - The Nature of Code
Welcome to part 1 of a new series of videos focused on Evolutionary Computing, and more specifically, Genetic Algorithms. In this tutorial, I introduce the concept of a genetic algorithm, how it can be used to approach "search" problems and how it relates to brute force algorithms. 🎥 Next
From playlist Session 2 - Genetic Algorithms - Intelligence and Learning
9.2: Genetic Algorithm: How it works - The Nature of Code
In part 2 of this genetic algorithm series, I explain how the concepts behind Darwinian Natural Selection are applied to a computational evolutionary algorithm. 🎥 Previous video: https://youtu.be/9zfeTw-uFCw?list=RxTfc4JLYKs&list=PLRqwX-V7Uu6bJM3VgzjNV5YxVxUwzALHV 🎥 Next video: https://yo
From playlist Session 2 - Genetic Algorithms - Intelligence and Learning
Lecture: Linear Programming and Genetic Algorithms
We consider a number of more advanced optimization algorithms that include the genetic algorithm and linear programming for constrained optimization.
From playlist Beginning Scientific Computing
Kim-Anh Lê Cao: Matrix factorisation techniques for data integration
Gene module detection methods aim to group genes with similar expression profiles to shed light into functional relationships and co-regulation, and infer gene regulatory networks. Methods proposed so far use clustering to group genes based on global similarity in their expression profiles
From playlist Probability and Statistics
Binary Genetic Algorithm - Part 1: Introduction
This video is about Binary Genetic Algorithm - Part 1: Introduction
From playlist Optimization
9.5: Genetic Algorithm: Fitness, Genotype vs Phenotype - The Nature of Code
In part 5 of my genetic algorithm series I discuss how you can adapt the algorithm for your own creative project. The key pieces are designing and implementing a custom "fitness function" as well as how you choose to encode your DNA (genotype vs phenotype). https://thecodingtrain.com/more/
From playlist Session 2 - Genetic Algorithms - Intelligence and Learning
Alexandros Singh - Asymptotic Distribution of Parameters in Trivalent Maps and Linear Lambda Terms
Structural properties of large random maps and lambda-terms may be gleaned by studying the limit distributions of various parameters of interest. In our work we focus on restricted classes of maps and their counterparts in the lambda-calculus, building on recent bijective connections betwe
From playlist Combinatorics and Arithmetic for Physics: special days
Fellow Short Talks: Dr Efthymia Tsamoura, The Alan Turing Institute
Efthymia Tsamoura received her BSc in 2007 and her PhD in 2013 with honours both from the Computer Science Department of Aristotle University of Thessaloniki, Greece. Since June 2013 she is a postdoctoral researcher in the Computer Science Department of University of Oxford, working on pro
From playlist Short Talks
The Whole of AQA A-Level Psychology | Approaches in Psychology | Revision for Exams
I want to help you achieve the grades you (and I) know you are capable of; these grades are the stepping stone to your future. Even if you don't want to study science or maths further, the grades you get now will open doors in the future. Study (daily and weekly) planners https://www.prim
From playlist AQA A-Level Psychology | Revision Playlist
DEFCON 14: RE 2006: New Challenges Need Changing Tools
Speaker: Halvar Flake, CEO of Sabre Security Abstract: Reverse Engineering has come a long way—what used to be practiced behind closed doors is now a mainstream occupation practiced throughout the security industry. Compilers and languages are changing, and the reverse engineer has to ada
From playlist DEFCON 14
From playlist PSYC1023 - Abnormal Psychology
Language Models are Open Knowledge Graphs (Paper Explained)
#ai #research #nlp Knowledge Graphs are structured databases that capture real-world entities and their relations to each other. KGs are usually built by human experts, which costs considerable amounts of time and money. This paper hypothesizes that language models, which have increased t
From playlist Papers Explained
The Growth of Knowledge: Crash Course Psychology #18
How does our knowledge grow? It turns out there are some different ideas about that. Schemas, Four-Stage Theory of Cognitive Development, and Vygotsky's Theory of Scaffolding all play different roles but the basic idea is that children think about things very differently than adults. Hank
From playlist Psychology
9.9: Genetic Algorithm: Interactive Selection - The Nature of Code
In this genetic algorithms video, I discuss a technique known as "interactive selection" where the algorithm's fitness function is calculated based on user / viewer interaction. 💻Code : https://github.com/CodingTrain/Rainbow-Code 🎥Previous video : https://youtu.be/ETphJASzYes 🎥Next video
From playlist Session 2 - Genetic Algorithms - Intelligence and Learning
Symbolic Regression and Program Induction: Lars Buesing
Machine Learning for the Working Mathematician: Week Fourteen 2 June 2022 Lars Buesing, Searching for Formulas and Algorithms: Symbolic Regression and Program Induction Abstract: In spite of their enormous success as black box function approximators in many fields such as computer vision
From playlist Machine Learning for the Working Mathematician
Learn XML Schema Tutorial Part 4
I explain XML Schema's in this tutorial.
From playlist XML Tutorial
