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| A brief history of neural nets and deep learning Andrey Kurenkov |
| Abridged List of Machine Learning Topics |
| An Introduction to Conditional Random Fields Charles Sutton, Andrew McCallum |
| Conditional Random Fields: Probabilistic Models for Segmenting and Labeling Sequence Data John Lafferty, Andrew McCallum, Fernando Pereira |
| Do we Need Hundreds of Classifiers to Solve Real World Classification Problems? Manuel Fernández-Delgado, Eva Cernadas, Senén Barro, Dinani Amorim |
| Machine Learning in Automated Text Categorization F Sebastiani - A must read paper.
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| Machine Learning: The High-Interest Credit Card of Technical Debt D. Sculley, Gary Holt, Daniel Golovin, Eugene Davydov, Todd Phillips, Dietmar Ebner, Vinay Chaudhary, Michael Young - See also an overview of the paper in the blog post.
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| MLcomp - MLcomp is a free website for objectively comparing machine learning programs across various datasets for multiple problem domains.
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| Reliable Reasoning: Induction and Statistical Learning Theory Gilbert Harman, Sanjeev Kulkarni |
| Scaling to very very large corpora for natural language disambiguation Michele Banko, Eric Brill |
| Statistical Machine Translation - The website is dedicated to research in statistical machine translation, i.e. the translation of text from one human language to another by a computer that learned how to translate from vast amounts of translated text.
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| The Elements of Statistical Learning: Data Mining, Inference, and Prediction. Trevor Hastie , Robert Tibshirani , Jerome Friedman |
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