User:Jasonb05
Jason Brownlee, Ph.D.[edit]
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[edit]
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[edit]
Some algorithms I like because I studied them in my PhD or masters work.
Stochastic[edit]
- 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[edit]
- 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[edit]
- Extremal optimization
- Cultural algorithm
- Harmony search
- Simulated annealing
- Quantum annealing
- Adaptive simulated annealing
- Stochastic tunneling
- Parallel tempering
Probabilistic[edit]
Swarm[edit]
- Ant colony optimization
- Particle swarm optimization
- Bees algorithm
- Bee colony optimization
- Firefly algorithm
- Glowworm swarm optimization
- Cuckoo search
Immune[edit]
Neural[edit]
- Perceptron
- Backpropagation
- Hopfield net
- Learning Vector Quantization
- Self-organizing map
- ADALINE
- Adaptive resonance theory
Machine Learning Algorithms[edit]
Machine Learning and similar algorithms that are interesting or I've done research on before.
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