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Word cloudA word cloud is a visual representation of the most frequently used words in a text or a set of texts. The words appear in different sizes, with the size of each word being proportional to its frequency of occurrence in the text. The more frequently a word is used, the larger it appears in the word cloud. This technique allows for a quick visualization of the most important themes and concepts in a text.
In the context of this page, the word cloud was generated from the publications of the author {}. The words in this cloud come from the titles, abstracts, and keywords of the author's articles and research papers. By analyzing this word cloud, you can get an overview of the most recurring and significant topics and research areas in the author's work.
The word cloud is a useful tool for identifying trends and main themes in a corpus of texts, thus facilitating the understanding and analysis of content in a visual and intuitive way.
Farahmand, A.-M., Ghavamzadeh, M., Szepesvari, C., & Mannor, S. (2016). Regularized policy iteration with non parametric function spaces. Journal of Machine Learning Research, 17(139), 66 pages. External link
Farahmand, A.-M., Ghavamzadeh, M., Szepesvari, C., & Mannor, S. (2009, June). Regularized Fitted Q-Iteration for planning in continuous-space Markovian decision problems [Paper]. American Control Conference (ACC 2009), St. Louis, MO, USA. External link
Farahmand, A.-M., Ghavamzadeh, M., Szepesvári, C., & Mannor, S. (2008, June). Regularized Fitted Q-Iteration: Application to Planning [Paper]. 8th European Workshop on Recent Advances in Reinforcement Learning (EWRL 2008), Villeneuve d'Ascq, France. External link
Farahmand, A.-M., Ghavamzadeh, M., Szepesvari, C., & Mannor, S. (2008, December). Regularized policy iteration [Paper]. 22th annual Conference on Neural Information Processing Systems (NeurIPS 2008), Vancouver, CB, Canada (8 pages). External link
Gross, W. J., Leduc-Primeau, F., Hemati, S., & Mannor, S. (2014). Method and system for decoding. (Patent no. US8898537). External link
Gross, W. J., Hemati, S., Mannor, S., Naderi, A., & Leduc-Primeau, F. (2014). Method and system for decoding. (Patent no. US8677227). External link
Leduc-Primeau, F., Hemati, S., Mannor, S., & Gross, W. J. (2013). Relaxed Half-Stochastic Belief Propagation. IEEE Transactions on Communications, 61(5), 1648-1659. External link
Leduc-Primeau, F., Hemati, S., Mannor, S., & Gross, W. J. (2012). Dithered Belief Propagation Decoding. IEEE Transactions on Communications, 60(8), 2042-2047. External link
Leduc-Primeau, F., Hemati, S., Mannor, S., & Gross, W. J. (2010, December). Lowering Error Floors Using Dithered Belief Propagation [Paper]. IEEE Global Telecommunications Conference (GLOBECOM 2010), Miami, FL. External link
Leduc-Primeau, F., Hemati, S., Gross, W. J., & Mannor, S. (2009, November). A Relaxed Half-Stochastic Iterative Decoder for LDPC Codes [Paper]. IEEE Global Telecommunications Conference (GLOBECOM 2009), Honolulu, HI (6 pages). External link
Naderi, A., Mannor, S., Sawan, M., & Gross, W. J. (2011). Delayed stochastic decoding of LDPC codes. IEEE Transactions on Signal Processing, 59(11), 5617-5626. External link
