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© Universität Bielefeld
Papers
Data Streams
- Mondrian Forests: Efficient Online Random Forests
- Nonconvex online support vector machines
- Adaptive random forests for evolving data stream classification
- An ensemble of cluster-based classifiers for semi-supervised classification of non-stationary data streams
- Extreme learning machine for multilayer perceptron (only available in the Lernraum-Plus)
Web Advertizing
- Wide & Deep Learning for Recommender Systems - Raheel
- DeepFM: A Factorization-Machine based Neural Network for CTR Prediction
- Collaborative deep learning for recommender systems
- Bidding Machine: Learning to Bid for Directly Optimizing Profits in Display Advertising
- Time-Aware Prospective Modeling of Users for Online Display Advertising
Predicting Links in Social Networks
teaching/2020winter/lbda/papers.txt · Last modified: 2020/11/11 17:18 by dgoebel
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