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Found 6 papers, 0 papers with code
Network of Evolvable Neural Units: Evolving to Learn at a Synaptic Level
Here a model is proposed that bridges Neuroscience, Machine Learning and Evolutionary Algorithms to evolve individual soma and synaptic compartment models of neurons in a scalable manner.
A Machine-Learning Item Recommendation System for Video Games
Video-game players generate huge amounts of data, as everything they do within a game is recorded.
Game Data Mining Competition on Churn Prediction and Survival Analysis using Commercial Game Log Data
Game companies avoid sharing their game data with external researchers.
Databases
Games and Big Data: A Scalable Multi-Dimensional Churn Prediction Model
The emergence of mobile games has caused a paradigm shift in the video-game industry.
Forecasting Player Behavioral Data and Simulating in-Game Events
Understanding player behavior is fundamental in game data science.
Rank Ordered Autoencoders
Minimizing the difference of this progressive reconstruction with respect to the input can be seen as minimizing the number of active output units required for the reconstruction of the input.
