M. Dash
Artificial Intelligence · with Dhamnani · 2019
A researcher in the Science corpus: 1 paper; trusts 4 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Artificial Intelligence — 20 citations into it
- Computational Theory and Mathematics — 7 citations into it
- Statistical Learning Theory — 7 citations into it
Whom M. Dash trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from M. Dash's perspective
Ordered by how strongly the researchers M. Dash trusts endorse each paper. Same corpus, a different order for every researcher.
- Learning representations by back-propagating errors
- Random Forests
- Scikit-learn: Machine Learning in Python
- Association for Computational Linguistics " Why Should I Trust You? " Explaining the Predictions of Any Classifier
- Algorithms for Hyper-Parameter Optimization
- Greedy function approximation: A gradient boosting machine.
- Mining association rules between sets of items in large databases
- C4.5: Programs for Machine Learning
- Towards A Rigorous Science of Interpretable Machine Learning
- ImageNet classification with deep convolutional neural networks