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