{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2026,9,30]],"date-time":"2026-09-30T15:16:45Z","timestamp":1790781405105,"version":"4.1.0"},"publisher-location":"New York, NY, USA","reference-count":20,"publisher":"ACM","license":[{"start":{"date-parts":[[2007,6,20]],"date-time":"2007-06-20T00:00:00Z","timestamp":1182297600000},"content-version":"vor","delay-in-days":0,"URL":"https:\/\/www.acm.org\/publications\/policies\/copyright_policy#Background"}],"content-domain":{"domain":["dl.acm.org"],"crossmark-restriction":true},"short-container-title":[],"published-print":{"date-parts":[[2007,6,20]]},"DOI":"10.1145\/1273496.1273553","type":"proceedings-article","created":{"date-parts":[[2008,10,7]],"date-time":"2008-10-07T09:06:52Z","timestamp":1223370412000},"page":"449-456","update-policy":"https:\/\/doi.org\/10.1145\/crossmark-policy","source":"Crossref","is-referenced-by-count":104,"title":["Nonmyopic active learning of Gaussian processes"],"prefix":"10.1145","author":[{"given":"Andreas","family":"Krause","sequence":"first","affiliation":[{"name":"Carnegie Mellon University, Pittsburgh, PA"}],"role":[{"vocabulary":"crossref","role":"author"}]},{"given":"Carlos","family":"Guestrin","sequence":"additional","affiliation":[{"name":"Carnegie Mellon University, Pittsburgh, PA"}],"role":[{"vocabulary":"crossref","role":"author"}]}],"member":"320","published-online":{"date-parts":[[2007,6,20]]},"reference":[{"key":"e_1_3_2_1_1_1","doi-asserted-by":"publisher","DOI":"10.1145\/1143844.1143853"},{"key":"e_1_3_2_1_2_1","doi-asserted-by":"publisher","DOI":"10.1016\/0167-7152(84)90020-8"},{"key":"e_1_3_2_1_3_1","unstructured":"Castro R. Willett R. & Nowak R. (2005). Faster rates in regression via active learning. NIPS. Castro R. Willett R. & Nowak R. (2005). Faster rates in regression via active learning. NIPS ."},{"key":"e_1_3_2_1_4_1","doi-asserted-by":"crossref","unstructured":"Cover T. M. & Thomas J. A. (1991). Elements of information theory. Wiley Interscience. Cover T. M. & Thomas J. A. (1991). Elements of information theory . Wiley Interscience.","DOI":"10.1002\/0471200611"},{"key":"e_1_3_2_1_5_1","unstructured":"Cressie N. A. (1991). Statistics for spatial data. Wiley. Cressie N. A. (1991). Statistics for spatial data . Wiley."},{"key":"e_1_3_2_1_6_1","doi-asserted-by":"crossref","unstructured":"Gramacy R. B. (2005). Bayesian treed Gaussian process models. Doctoral dissertation University of California. Gramacy R. B. (2005). Bayesian treed Gaussian process models . Doctoral dissertation University of California.","DOI":"10.32614\/CRAN.package.tgp"},{"key":"e_1_3_2_1_7_1","doi-asserted-by":"crossref","unstructured":"Gretton A. Borgwardt K. Rasch M. Schlkopf B. & Smola A. (2006). A kernel method for the two-sample-problem. NIPS. Gretton A. Borgwardt K. Rasch M. Schlkopf B. & Smola A. (2006). A kernel method for the two-sample-problem. NIPS .","DOI":"10.7551\/mitpress\/7503.003.0069"},{"key":"e_1_3_2_1_8_1","doi-asserted-by":"publisher","DOI":"10.1145\/1102351.1102385"},{"key":"e_1_3_2_1_10_1","doi-asserted-by":"crossref","unstructured":"Ko C. Lee J. & Queyranne M. (1995). An exact algorithm for maximum entropy sampling. Ops Res 43. Ko C. Lee J. & Queyranne M. (1995). An exact algorithm for maximum entropy sampling. Ops Res 43 .","DOI":"10.1287\/opre.43.4.684"},{"key":"e_1_3_2_1_11_1","unstructured":"Koller D. & Friedman N. (2007). Structured probabilistic models. Electronic Preprint. Koller D. & Friedman N. (2007). Structured probabilistic models . Electronic Preprint."},{"key":"e_1_3_2_1_12_1","doi-asserted-by":"crossref","unstructured":"Krause A. & Guestrin C. (2007). Nonmyopic active learning of gaussian processes: An exploration-exploitation approach (Techn. Report CMU-ML-07-105). Krause A. & Guestrin C. (2007). Nonmyopic active learning of gaussian processes: An exploration-exploitation approach (Techn. Report CMU-ML-07-105).","DOI":"10.1145\/1273496.1273553"},{"key":"e_1_3_2_1_13_1","doi-asserted-by":"crossref","unstructured":"Nott D. J. & Dunsmuir W. T. M. (2002). Estimation of nonstationary spatial covariance structure. Biomet. 89. Nott D. J. & Dunsmuir W. T. M. (2002). Estimation of nonstationary spatial covariance structure. Biomet. 89 .","DOI":"10.1093\/biomet\/89.4.819"},{"key":"e_1_3_2_1_14_1","doi-asserted-by":"publisher","DOI":"10.5555\/1046920.1088708"},{"key":"e_1_3_2_1_15_1","unstructured":"Paciorek C. (2003). Nonstationary gaussian processes for regression and spatial mod. Doctoral dissertation CMU. Paciorek C. (2003). Nonstationary gaussian processes for regression and spatial mod. Doctoral dissertation CMU."},{"key":"e_1_3_2_1_16_1","doi-asserted-by":"crossref","unstructured":"Rasmussen C. E. & Williams C. K. (2006). Gaussian process for machine learning. MIT Press. Rasmussen C. E. & Williams C. K. (2006). Gaussian process for machine learning . MIT Press.","DOI":"10.7551\/mitpress\/3206.001.0001"},{"key":"e_1_3_2_1_17_1","doi-asserted-by":"crossref","unstructured":"Seo S. Wallat M. Graepel T. & Obermayer K. (2000). Gaussian process regression: Active data selection and test point rejection. IJCNN (pp. 241--246). Seo S. Wallat M. Graepel T. & Obermayer K. (2000). Gaussian process regression: Active data selection and test point rejection. IJCNN (pp. 241--246).","DOI":"10.1007\/978-3-642-59802-9_4"},{"key":"e_1_3_2_1_18_1","doi-asserted-by":"publisher","DOI":"10.1080\/02664768700000020"},{"key":"e_1_3_2_1_19_1","unstructured":"Storkey A. J. (99). Truncated covariance matrices and toeplitz methods in gaussian processes. ICANN. Storkey A. J. (99). Truncated covariance matrices and toeplitz methods in gaussian processes. ICANN ."},{"key":"e_1_3_2_1_20_1","unstructured":"Tresp V. (2000). Mixtures of gaussian processes. NIPS (pp. 654--660). Tresp V. (2000). Mixtures of gaussian processes. NIPS (pp. 654--660)."},{"key":"e_1_3_2_1_21_1","doi-asserted-by":"publisher","DOI":"10.1198\/108571106X99751"}],"event":{"name":"ICML '07 & ILP '07: The 24th Annual International Conference on Machine Learning held in conjunction with the 2007 International Conference on Inductive Logic Programming","location":"Corvalis Oregon USA","acronym":"ICML '07 & ILP '07","sponsor":["Machine Learning Journal"]},"container-title":["Proceedings of the 24th international conference on Machine learning"],"original-title":[],"link":[{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1273496.1273553","content-type":"unspecified","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/dl.acm.org\/doi\/pdf\/10.1145\/1273496.1273553","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2025,6,18]],"date-time":"2025-06-18T10:58:01Z","timestamp":1750244281000},"score":1,"resource":{"primary":{"URL":"https:\/\/dl.acm.org\/doi\/10.1145\/1273496.1273553"}},"subtitle":["an exploration-exploitation approach"],"short-title":[],"issued":{"date-parts":[[2007,6,20]]},"references-count":20,"alternative-id":["10.1145\/1273496.1273553","10.1145\/1273496"],"URL":"https:\/\/doi.org\/10.1145\/1273496.1273553","relation":{},"subject":[],"published":{"date-parts":[[2007,6,20]]},"assertion":[{"value":"2007-06-20","order":2,"name":"published","label":"Published","group":{"name":"publication_history","label":"Publication History"}}]}}