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tufts-ml
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ml-research-reading-lists
Useful Reading Lists on topics of active research (PI: Mike Hughes)
MIT License
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Hidden Markov models
#12
michaelchughes
opened
4 years ago
0
Feature Selection in Probabilistic Latent Variable Models
#11
michaelchughes
opened
4 years ago
0
Cross-validation for estimating generalization performance and model selection
#10
michaelchughes
opened
4 years ago
0
Missing Data with probabilistic models
#9
michaelchughes
opened
4 years ago
0
ML for Intensive Care Unit time-series tasks
#8
michaelchughes
opened
5 years ago
2
High-quality big-picture resources: textbooks and overview journal articles
#7
michaelchughes
opened
5 years ago
0
Novelty detection and few shot learning
#6
michaelchughes
opened
5 years ago
0
Interpretability / Explainable AI
#5
michaelchughes
opened
5 years ago
0
Variational inference for mixtures, topics, and sequences
#4
michaelchughes
opened
5 years ago
2
Recurrent neural networks and missing data
#3
michaelchughes
opened
5 years ago
1
Variational autoencoders and semi-supervised learning
#2
michaelchughes
opened
5 years ago
0
Random forests and heterogeneous treatment effects
#1
michaelchughes
opened
5 years ago
0