{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,10,22]],"date-time":"2024-10-22T17:03:24Z","timestamp":1729616604173,"version":"3.28.0"},"reference-count":13,"publisher":"IEEE","content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2009,8]]},"DOI":"10.1109\/grc.2009.5255164","type":"proceedings-article","created":{"date-parts":[[2009,9,25]],"date-time":"2009-09-25T20:32:54Z","timestamp":1253910774000},"page":"39-44","source":"Crossref","is-referenced-by-count":1,"title":["Sparse Bayesian learning for ranking"],"prefix":"10.1109","author":[{"given":"Xiao","family":"Chang","sequence":"first","affiliation":[]},{"given":"Qinghua","family":"Zheng","sequence":"additional","affiliation":[]}],"member":"263","reference":[{"key":"13","doi-asserted-by":"publisher","DOI":"10.1109\/SSP.2003.1289519"},{"key":"11","first-page":"759","article-title":"bayesian inference and optimal design for the sparse linear model","volume":"9","author":"seeger","year":"2008","journal-title":"J Mach Learn Res"},{"key":"12","article-title":"fast marginal likelihood maximisation for sparse bayesian models","author":"tipping","year":"2003","journal-title":"Proc 9th International Workshop on Artificial Intelligence and Statistics"},{"key":"3","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102363"},{"key":"2","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102369"},{"key":"1","first-page":"27","article-title":"learning to rank with pairwise regularized least-squares","author":"pahikkala","year":"2007","journal-title":"Proc the 30th International Conference on Research and Development in Information Retrieval -Workshop on Learning to Rank for Information Retrieval"},{"key":"10","doi-asserted-by":"crossref","DOI":"10.1561\/9781601982452","article-title":"letor: benchmark dataset for research on learning to rank for information retrieval","author":"liu","year":"2007","journal-title":"Proc the 30th International Conference on Research and Development in Information Retrieval -Workshop on Learning to Rank for Information Retrieval"},{"key":"7","first-page":"211","volume":"1","author":"tipping","year":"2001","journal-title":"Sparse Bayesian Learning and the Relevance Vector Machine"},{"key":"6","doi-asserted-by":"publisher","DOI":"10.1145\/775047.775067"},{"key":"5","first-page":"1532","article-title":"an efficient boosting algorithm for combining preferences","author":"freund","year":"1998","journal-title":"Proc the 15th International Conference on Machine Learning"},{"key":"4","doi-asserted-by":"crossref","first-page":"97","DOI":"10.1049\/cp:19991091","article-title":"support vector learning for ordinal regression","author":"herbrich","year":"1999","journal-title":"Proc the 9th International Conference on Artificial Neural Networks (ICANN)"},{"key":"9","first-page":"1019","volume":"41","author":"kekalainen","year":"2005","journal-title":"Binary and Graded Relevance in IR Evaluations - Comparison of the Effects on Ranking of IR Systems"},{"key":"8","first-page":"448","volume":"4","author":"mackay","year":"1992","journal-title":"A Practical Bayesian Framework for Backpropagation Networks"}],"event":{"name":"2009 IEEE International Conference on Granular Computing (GRC)","start":{"date-parts":[[2009,8,17]]},"location":"Nanchang, China","end":{"date-parts":[[2009,8,19]]}},"container-title":["2009 IEEE International Conference on Granular Computing"],"original-title":[],"link":[{"URL":"http:\/\/xplorestaging.ieee.org\/ielx5\/5234367\/5254998\/05255164.pdf?arnumber=5255164","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2020,5,22]],"date-time":"2020-05-22T13:50:22Z","timestamp":1590155422000},"score":1,"resource":{"primary":{"URL":"http:\/\/ieeexplore.ieee.org\/document\/5255164\/"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2009,8]]},"references-count":13,"URL":"https:\/\/doi.org\/10.1109\/grc.2009.5255164","relation":{},"subject":[],"published":{"date-parts":[[2009,8]]}}}