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Proceedings of NIPS 2017 Symposium on Interpretable Machine Learning
This is the Proceedings of NIPS 2017 Symposium on Interpretable Machine ...
11/27/2017 ∙ by Andrew Gordon Wilson, et al. ∙
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Analysis of a Design Pattern for Teaching with Features and Labels
We study the task of teaching a machine to classify objects using featur...
11/18/2016 ∙ by Christopher Meek, et al. ∙
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ICE: Enabling Non-Experts to Build Models Interactively for Large-Scale Lopsided Problems
Quick interaction between a human teacher and a learning machine present...
09/16/2014 ∙ by Patrice Simard, et al. ∙
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Counterfactual Reasoning and Learning Systems
This work shows how to leverage causal inference to understand the behav...
09/11/2012 ∙ by Leon Bottou, et al. ∙
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Interactive Semantic Featuring for Text Classification
In text classification, dictionaries can be used to define human-compreh...
06/24/2016 ∙ by Camille Jandot, et al. ∙
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