Multi-task learning is an approach to machine learning

Machine learning

Machine learning, a branch of artificial intelligence, is a scientific discipline concerned with the design and development of algorithms that allow computers to evolve behaviors based on empirical data, such as from sensor data or databases...

 that learns a problem together with other related problems at the same time, using a shared representation. This often leads to a better model for the main task, because it allows the learner to use the commonality among the tasks. Therefore, multi-task learning is a kind of inductive transfer

Inductive transfer

Inductive transfer, or transfer learning, is a research problem in machine learning that focuses on storing knowledge gained while solving one problem and applying it to a different but related problem...

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See also

• Artificial neural network
  Artificial neural network
  An artificial neural network , usually called neural network , is a mathematical model or computational model that is inspired by the structure and/or functional aspects of biological neural networks. A neural network consists of an interconnected group of artificial neurons, and it processes...
  
  
• Evolutionary computation
  Evolutionary computation
  In computer science, evolutionary computation is a subfield of artificial intelligence that involves combinatorial optimization problems....
  
  
• Human-based genetic algorithm
  Human-based genetic algorithm
  In evolutionary computation, a human-based genetic algorithm is a genetic algorithm that allows humans to contribute solution suggestions to the evolutionary process. For this purpose, a HBGA has human interfaces for initialization, mutation, and recombinant crossover. As well, it may have...
  
  

External links

• The Biosignals Intelligence Group at UIUC