Talaria: Interactively Optimizing Machine Learning Models for Efficient Inference.
Fred HohmanChaoqun WangJinmook LeeJochen GörtlerDominik MoritzJeffrey P. BighamZhile RenCecile ForetQi ShanXiaoyi ZhangPublished in: CHI (2024)
Keyphrases
- efficient inference
- machine learning models
- probabilistic inference
- spam filtering
- machine learning algorithms
- conditional random fields
- markov random field
- fully connected
- machine learning approaches
- exact inference
- hidden variables
- human pose estimation
- machine learning
- learning models
- approximate inference
- structured prediction
- markov networks
- graph structure
- graphical models
- belief networks
- linear models
- junction tree
- probabilistic model
- pairwise
- machine learning methods
- first order logic
- pose estimation
- maximum likelihood
- knn
- active learning
- bayesian networks
- feature selection