Studying the Effects of Training Data on Machine Learning-Based Procedural Content Generation.
Sam SnodgrassAdam SummervilleSantiago OntañónPublished in: AIIDE (2017)
Keyphrases
- machine learning
- training data
- learning algorithm
- supervised learning
- generation process
- decision trees
- semi supervised learning
- machine learning algorithms
- pattern recognition
- support vector machine
- test data
- training set
- computer science
- test set
- machine learning methods
- artificial intelligence
- text classification
- feature selection
- reinforcement learning
- knowledge acquisition
- natural language processing
- learning tasks
- object oriented
- model selection
- labeled data
- user experience
- classification accuracy
- training process
- learned from training data
- statistical methods
- machine learning approaches
- user generated content
- learning systems
- training samples
- neural network
- knowledge discovery
- prior knowledge
- data analysis
- natural language
- multimedia
- metadata