User:Jasonb05

Jason Brownlee, Ph.D.
Jason is a computer scientist and software engineer.


 * Clever Algorithms - my AI Book
 * Super Fast Python - my tutorials on Python concurrency
 * Algorithm Afternoon - my site for ai algorithms

Wiki Contributions
The following is an ordered list (alphabetically ascending) of pages I created or contributed a lot of content, mostly related to my research and work.


 * Adaptive website
 * Artificial immune systems
 * Australian Artificial Intelligence Institute
 * Belief-Desire-Intention software model
 * Clonal Selection Algorithm
 * Distributed Multi-Agent Reasoning System
 * Extremal optimization
 * GORITE
 * JACK Intelligent Agents
 * Michael Georgeff
 * Minimum viable product
 * Procedural Reasoning System

Nature-Inspired Algorithms
Some algorithms I like because I studied them in my PhD or masters work.

Stochastic

 * Tabu search
 * Greedy randomized adaptive search procedure
 * Stochastic diffusion search
 * Random search
 * Random optimization
 * Reactive search optimization
 * Stochastic hill climbing
 * Iterated local search
 * Guided Local Search
 * Stochastic gradient descent

Evolutionary

 * Genetic Algorithm
 * Differential evolution
 * Evolution strategy
 * Learning classifier system
 * Memetic algorithm
 * Evolutionary programming
 * Genetic programming
 * Grammatical evolution
 * Gene expression programming
 * CMA-ES
 * Interactive evolutionary computation
 * Human-based genetic algorithm
 * Human-based evolutionary computation
 * Learnable Evolution Model

Physical

 * Extremal optimization
 * Cultural algorithm
 * Harmony search
 * Simulated annealing
 * Quantum annealing
 * Adaptive simulated annealing
 * Stochastic tunneling
 * Parallel tempering

Probabilistic

 * Population-based incremental learning
 * Gaussian adaptation
 * Cross-entropy method

Swarm

 * Ant colony optimization
 * Particle swarm optimization
 * Bees algorithm
 * Bee colony optimization
 * Firefly algorithm
 * Glowworm swarm optimization
 * Cuckoo search

Immune

 * Clonal Selection Algorithm

Neural

 * Perceptron
 * Backpropagation
 * Hopfield net
 * Learning Vector Quantization
 * Self-organizing map
 * ADALINE
 * Adaptive resonance theory

Machine Learning Algorithms
Machine Learning and similar algorithms that are interesting or I've done research on before.


 * List of machine learning algorithms

My list:


 * k-nearest neighbor algorithm
 * Support vector machine
 * k-means clustering
 * Expectation-maximization algorithm
 * Hidden Markov model
 * C4.5 algorithm
 * ID3 algorithm
 * Decision tree learning
 * Random forest
 * Naive Bayes classifier
 * Logistic regression
 * Principal component analysis
 * Singular value decomposition
 * Decision stump
 * Radial basis functions
 * Kriging