Towards Scalable, Adaptable Systems" Information retrieval addresses the problem of finding those documents whose content matches a user's request from among a large collection of documents.
Statistical Language Models for Information Retrieval: Also Foundations and Trends in Information Retrieval 2 3: Victor Lavrenko and W.
John Lafferty and ChengXiang Zhai. Document language models, query models, and risk minimization for information retrieval. Google books preview Additional references: Della Pietra, Vincent J.
Della Pietra, and Robert L. The mathematics of statistical machine translation: Computational Linguistics 19 2 Thomas Cover and Joy A.
Elements of information theory. The population frequencies of species and the estimation of population parameters.
The first page contains the following passage: Frederick Jelink and Robert Mercer. Probability distribution estimation from sparse data.
On Turing's formula for word probabilities. Google books preview Alon Orlitsky, Narayana P. Santhanam, and Junan Zhang give Codebreakers: Sample midterm from Also available are brief solution notes see section 2 of document Lecture references: Frederick Jelinek and Robert L.
Interpolated estimation of Markov source parameters from sparse data. Workshop on Pattern Recognition in Practice, Estimation of probabilities from sparse data for the language model component of a speech recognizer. Text compression William Gale and Kenneth W. What's wrong with adding one?
In Corpus-Based Research into Language: In honour of Jan Aarts, Some of my best friends are linguists. Language Resources and Evaluation Institut Stenographique de France.
Nelson Francis and Henry Kucera, Frequency Analysis of English Usage. Also of potential interest: Some effects of intermittent silence. American Journal of Psychology 70, pp.
Human Behavior and the principle of least effort. See also section 1. Cleary, and Ian H. Witten, Text Compression, "Automated video looping with progressive dynamism (SIGGRAPH'13)"Tool to extract a seamlessly looping video from a 5-second non-looping input video, with interactive control over the level of dynamism and local static & animation editing.
John Lafferty and ChengXiang Zhai. Document language models, query models, and risk minimization for information retrieval. SIGIR () Journal version available as Zhai and Lafferty, A risk minimization framework for information retrieval, Information Processing and Management 42(1): 31–55, Voltaire.
Candide. Yang, Yiming Yang, Stacey Young, Jun Yang, Danni Yu, Hua Yu, Chengxiang Zhai, Jian Zhang, Rong Zhang, Yi Zhang, Ying (Joy) Zhang, Bing Zhao, Jie Zhu, and Xiaojin Zhu. I owe my deepest gratitude to my mother, Yueying, who has given me continuous and tremendous support she could ever since I came to this world and all the way up to now.
John Lafferty and Chengxiang Zhai. Document language models, query models, and risk minimization for information retrieval. SIGIR () [ps, pdf; long version] John Lafferty and Chengxiang Zhai.
Probabilistic relevance models based on document and query generation. Hui Fang, ChengXiang Zhai, Lei Liu and Jiong Yang. Subspace Clustering for Microarray Data Analysis: Multiple Criteria and Significance Assessment.
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