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Machine learning techniques are employed to extract good quality location information from these high-dimensionality input vectors. Experimental results in a domestic and an office setting are presented, in which data were accumulated over a 1-month period in order to assure time robustness. Room-level classification efficiencies approaching 100% were obtained, using Support Vector Machines in <jats:italic>one-versus-one<\/jats:italic> and <jats:italic>one-versus-all<\/jats:italic> configurations. Promising results using semi-supervised learning techniques, in which only a fraction of the training data is required to have a room label, are also presented. While indoor RSS localization using WiFi, as well as some rather mediocre results with low-carrier count GSM fingerprints, have been discussed elsewhere, this is to our knowledge the first study to demonstrate that <jats:italic>good quality<\/jats:italic> indoor localization information can be obtained, in diverse settings, by applying a machine learning strategy to RSS vectors <jats:italic>that contain the entire GSM band<\/jats:italic>.<\/jats:p>","DOI":"10.1186\/1687-1499-2011-81","type":"journal-article","created":{"date-parts":[[2011,9,1]],"date-time":"2011-09-01T01:39:04Z","timestamp":1314841144000},"update-policy":"http:\/\/dx.doi.org\/10.1007\/springer_crossmark_policy","source":"Crossref","is-referenced-by-count":20,"title":["Indoor localization based on cellular telephony RSSI fingerprints containing very large numbers of carriers"],"prefix":"10.1186","volume":"2011","author":[{"given":"Yacine","family":"Oussar","sequence":"first","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Iness","family":"Ahriz","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"Bruce","family":"Denby","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]},{"given":"G\u00e9rard","family":"Dreyfus","sequence":"additional","affiliation":[],"role":[{"role":"author","vocabulary":"crossref"}]}],"member":"297","published-online":{"date-parts":[[2011,8,31]]},"reference":[{"key":"81_CR1","doi-asserted-by":"publisher","DOI":"10.1002\/0470092335","volume-title":"Location-Based Services: Fundamentals and Operation","author":"A K\u00fcpper","year":"2005","unstructured":"K\u00fcpper A: Location-Based Services: Fundamentals and Operation. 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