A loss function analysis for classification methods in text categorization (Li et al.Text categorization based on regularized linear classification methods (Zhang et al.A Re-examination of text categorization methods (Yang et al.Inductive learning algorithms and representations for text categorization (Dumais et al.Using SVMs for text categorization (Dumais 1998).A tutorial on support vector machines for pattern recognition (Burges 1998).Elements of Statistical Learning: Data Mining, Inference, and Prediction. Trevor Hastie, Robert Tibshirani, Jerome Friedman.Evaluating and optimizing autonomous text classification systems (Lewis 1995).2003)Ī re-examination of text categorization methods (Yang et al. Tackling the poor assumptions of Naive Bayes classifier (Rennie et al.A Comparison of event models for naive Bayes text classification (McCallum et al.A re-examination of text categorization methods (Yang et al.Machine learning in automated text categorization (Sebastiani 2002).
2003)Ĭlassification and clustering in vector spaces(Naive Bayes, kNN, decision boundaries) Systems issues in efficient retrieval and scoringĮfficient Query Evaluation using a Two-Level Retrieval Process (Broder et al. Probabilistic IR: the binary independence model, BM25, BM25F NOTE: attendance required for on-campus students
Guest lecture by Joachim Kupke (Principal Software Engineer, Google) Scoring, term weighting and the vector space model
How to write a spelling corrector (Peter Norvig).Videos: "Dictionaries and Tolerant Retrieval".Inverted index compression and query processing with optimized document ordering (Yan et al.Inverted index compression using word-aligned binary codes (Anh and Moffat 2005).Compression of inverted indexes for fast query evaluation (Scholer et al.Efficient phrase querying with an auxiliary index (Bahle, Williams, Zobel 2002).Fast phrase querying with combined indexes (Williams, Zobel, Bahle 2004).Videos: "Document Encodings", "Tokens", "Terms", "Stemming", "Skip Lists".Inverted Indices: Dictionary and postings lists, boolean querying The complementary videos are on Canvas, and the slides of the videos are linked below. We leave them here for your reference and they will be updated/replaced by each lecture. In an online world where HN has way too much mindshare, it’s relaxing to step back to the days of payphones, cassette voice mails, and yellow page directories.Some of the slides and video links are from previous offering of the course. Much of what machine-learning is about *isn’t* on-the-fly computation, it’s about storing good representations which then index The title will make you laugh in 2020, so why would I recommend this citation from /~backrub more than not only the gushing river of nonsense that is the last 5 years of arXiv.ml but even more than the comparatively solid books from 20 on statistics and ML? Because ] Much of what machine-learning is about *isn’t* on-the-fly computation, it’s about storing good representations which then index In an online world where H The title will make you laugh in 2020, so why would I recommend this citation from /~backrub more than not only the gushing river of nonsense that is the last 5 years of arXiv.ml but even more than the comparatively solid books from 20 on statistics and ML?
mg's source code is freely available on the Web.more It also details dozens of powerful techniques supported by mg, the authors' own system for compressing, storing, and retrieving text, images, and textual images.
It covers the latest developments in compression and indexing and their application on the Web and in digital libraries. Whatever your field, if you work with large quantities of information, this book is essential reading-an authoritative theoretical resource and a practical guide to meeting the toughest storage and access challenges. Whatever your field, if you work with large quantities of information, this book is essential reading-an authoritative theoretical resource and a practi In this fully updated second edition of the highly acclaimed Managing Gigabytes, authors Witten, Moffat, and Bell continue to provide unparalleled coverage of state-of-the-art techniques for compressing and indexing data. In this fully updated second edition of the highly acclaimed Managing Gigabytes, authors Witten, Moffat, and Bell continue to provide unparalleled coverage of state-of-the-art techniques for compressing and indexing data.