{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,10,28]],"date-time":"2025-10-28T00:26:54Z","timestamp":1761611214397},"publisher-location":"Berlin, Heidelberg","reference-count":30,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540424901"},{"type":"electronic","value":"9783540446736"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[2001]]},"DOI":"10.1007\/3-540-44673-7_3","type":"book-chapter","created":{"date-parts":[[2007,7,16]],"date-time":"2007-07-16T12:59:53Z","timestamp":1184590793000},"page":"39-70","source":"Crossref","is-referenced-by-count":8,"title":["Unsupervised Learning of Probabilistic Concept Hierarchies"],"prefix":"10.1007","author":[{"given":"Wayne","family":"Iba","sequence":"first","affiliation":[]},{"given":"Pat","family":"Langley","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2001,9,20]]},"reference":[{"key":"3_CR1","volume-title":"Concept formation: Knowledge and experience in unsupervised learning","author":"J. R. Anderson","year":"1991","unstructured":"Anderson, J. R., & Matessa, M. (1991). An iterative Bayesian algorithm for categorization. In D. H. Fisher, M. J. Pazzani, & P. Langley (Eds.), Concept formation: Knowledge and experience in unsupervised learning. San Mateo, CA: Morgan Kaufmann."},{"key":"3_CR2","doi-asserted-by":"publisher","first-page":"213","DOI":"10.1023\/A:1007421730016","volume":"29","author":"J. Binder","year":"1997","unstructured":"Binder, J., Koller, D., Russell, S., & Kanazawa, K. (1997). Adaptive probabilistic networks with hidden variables. Machine Learning, 29, 213\u2013244.","journal-title":"Machine Learning"},{"key":"3_CR3","first-page":"54","volume-title":"Proceedings of the Fifth International Conference on Machine Learning","author":"P. Cheeseman","year":"1988","unstructured":"Cheeseman, P., Kelly, J., Self, M., Stutz, J., Taylor, W., & Freeman, D. (1988). Autoclass: A Bayesian classification system. Proceedings of the Fifth International Conference on Machine Learning (pp. 54\u201364). Ann Arbor, MI: Morgan Kaufmann."},{"key":"3_CR4","first-page":"309","volume":"9","author":"G. F. Cooper","year":"1992","unstructured":"Cooper, G. F., & Herskovits, E. (1992). A Bayesian method for the induction of probabilistic networks from data. Machine Learning, 9, 309\u2013347.","journal-title":"Machine Learning"},{"key":"3_CR5","first-page":"45","volume-title":"Proceedings of the First International Conference on AI Planning Systems","author":"D. S. Day","year":"1992","unstructured":"Day, D. S. (1992). Acquiring search heuristics automatically for constraint-based scheduling and planning. Proceedings of the First International Conference on AI Planning Systems (pp. 45\u201351). College Park, MD: Morgan Kaufmann."},{"key":"3_CR6","first-page":"139","volume":"2","author":"D. H. Fisher","year":"1987","unstructured":"Fisher, D. H. (1987). Knowledge acquisition via incremental conceptual clustering. Machine Learning, 2, 139\u2013172.","journal-title":"Machine Learning"},{"volume-title":"Concept formation: Knowledge and experience in unsupervised learning","year":"1991","key":"3_CR7","unstructured":"Fisher, D. H., Pazzani, M. J., & Langley, P. (Eds.) (1991). Concept formation: Knowledge and experience in unsupervised learning. San Mateo, CA: Morgan Kaufmann."},{"key":"3_CR8","volume-title":"An experimental study of concept formation","author":"J. H. Gennari","year":"1990","unstructured":"Gennari, J. H. (1990). An experimental study of concept formation. Doctoral dissertation, Department of Information & Computer Science, University of California, Irvine."},{"key":"3_CR9","doi-asserted-by":"publisher","first-page":"11","DOI":"10.1016\/0004-3702(89)90046-5","volume":"40","author":"J. H. Gennari","year":"1989","unstructured":"Gennari, J. H., Langley, P., & Fisher, D. H. (1989). Models of incremental concept formation. Artificial Intelligence, 40, 11\u201361.","journal-title":"Artificial Intelligence"},{"key":"3_CR10","first-page":"283","volume-title":"Proceedings of the Seventh Annual Conference of the Cognitive Science Society","author":"M. Gluck","year":"1985","unstructured":"Gluck, M., & Corter, J. (1985). Information, uncertainty and the utility of categories. Proceedings of the Seventh Annual Conference of the Cognitive Science Society (pp. 283\u2013287). Irvine, CA: Lawrence Erlbaum."},{"key":"3_CR11","first-page":"831","volume-title":"Proceedings of the Eleventh International Joint Conference on Artificial Intelligence","author":"M. Hadzikadic","year":"1989","unstructured":"Hadzikadic, M., & Yun, D. (1989). Concept formation by incremental conceptual clustering. Proceedings of the Eleventh International Joint Conference on Artificial Intelligence (pp. 831\u2013836). Detroit, MI: Morgan Kaufmann."},{"key":"3_CR12","unstructured":"Handa, K. (1990). Cfix: Concept formation by interaction of related objects. Proceedings of the Pacific Rim International Conference on Artificial Intelligence. Nagoya, Japan."},{"key":"3_CR13","first-page":"692","volume-title":"Proceedings of the Twelfth International Joint Conference on Artificial Intelligence","author":"R. Hanson","year":"1991","unstructured":"Hanson, R., Stutz, J., & Cheeseman, P. (1991). Bayesian classification with correlation and inheritance. Proceedings of the Twelfth International Joint Conference on Artificial Intelligence (pp. 692\u2013698). Sydney: Morgan Kaufmann."},{"key":"3_CR14","volume-title":"Technical Report MSR-TR-95-06","author":"D. Heckerman","year":"1995","unstructured":"Heckerman, D. (1995). A tutorial on learning Bayesian networks (Technical Report MSR-TR-95-06). Redmond, WA: Microsoft Research."},{"key":"3_CR15","first-page":"732","volume-title":"Proceedings of the Twelfth International Joint Conference on Artificial Intelligence","author":"W. Iba","year":"1991","unstructured":"Iba, W. (1991a). Learning to classify observed motor behavior. Proceedings of the Twelfth International Joint Conference on Artificial Intelligence (pp. 732\u2013738). Sydney: Morgan Kaufmann."},{"key":"3_CR16","volume-title":"Acquisition and improvement of human motor skills: Learning through observation and practice","author":"W. Iba","year":"1991","unstructured":"Iba, W. (1991b). Acquisition and improvement of human motor skills: Learning through observation and practice. Doctoral dissertation, Department of Information & Computer Science, University of California, Irvine."},{"key":"3_CR17","first-page":"244","volume-title":"Proceedings of the 1993 European Conference on Machine Learning","author":"F. Kilander","year":"1993","unstructured":"Kilander, F., & Jansson, C. G. (1993). Cobbit: A control procedure for Cobweb in the presence of concept drift. Proceedings of the 1993 European Conference on Machine Learning (pp. 244\u2013261). Vienna: Springer-Verlag."},{"key":"3_CR18","first-page":"364","volume-title":"Proceedings of the Thirteenth Conference of the Cognitive Science Society","author":"P. Langley","year":"1991","unstructured":"Langley, P., & Allen, J. A. (1991). Learning, memory, and search in planning. Proceedings of the Thirteenth Conference of the Cognitive Science Society (pp. 364\u2013369). Chicago: Lawrence Erlbaum."},{"key":"3_CR19","volume-title":"Machine learning methods for planning and scheduling","author":"P. Langley","year":"1993","unstructured":"Langley, P., & Allen, J. A. (1993). A unified framework for planning and learning. In Minton (Ed.), Machine learning methods for planning and scheduling. San Mateo: Morgan Kaufmann."},{"key":"3_CR20","first-page":"223","volume-title":"Proceedings of the Tenth National Conference on Artificial Intelligence","author":"P. Langley","year":"1992","unstructured":"Langley, P., Iba, W., & Thompson, K. (1992). An analysis of Bayesian classifiers. Proceedings of the Tenth National Conference on Artificial Intelligence (pp. 223\u2013228). San Jose: AAAI Press."},{"key":"3_CR21","unstructured":"Martin, J. D. (1992). Direct and indirect transfer: Explorations in concept formation. Doctoral dissertation, Department of Computer Science, Georgia Institute of Technology."},{"key":"3_CR22","unstructured":"Martin, J. D. (1994). Goal-directed clustering. Proceedings of the AAAI Spring Symposium on Goal-Directed Learning. Stanford, CA."},{"key":"3_CR23","first-page":"121","volume":"16","author":"J. D. Martin","year":"1994","unstructured":"Martin, J. D., & Billman, D. O. (1994). Acquiring and combining overlapping concepts. Machine Learning, 16, 121\u2013155.","journal-title":"Machine Learning"},{"key":"3_CR24","first-page":"810","volume-title":"Proceedings of the Twelfth International Joint Conference on Artificial Intelligence","author":"K. B. McKusick","year":"1991","unstructured":"McKusick, K. B., & Langley, P. (1991). Constraints on tree structure in concept formation. Proceedings of the Twelfth International Joint Conference on Artificial Intelligence (pp. 810\u2013816). Sydney: Morgan Kaufmann."},{"key":"3_CR25","volume-title":"Tech. Rep. No. FIA-90-6-18-2","author":"K. B. McKusick","year":"1990","unstructured":"McKusick, K. B., & Thompson, K. (1990). Cobweb\/3: A portable implementation (Tech. Rep. No. FIA-90-6-18-2). Moffett Field, CA: NASA Ames Research Center, AI Research Branch."},{"key":"3_CR26","unstructured":"Provan, G. M., & Singh, M. (1995). Learning Bayesian networks using feature selection. Proceedings of the Fifth International Workshop on Artificial Intelligence and Statistics (pp. 450\u2013456). Fort Lauderdale, FL."},{"key":"3_CR27","first-page":"81","volume":"1","author":"J.R. Quinlan","year":"1986","unstructured":"Quinlan, J.R. (1986). Induction of decision trees. Machine Learning, 1, 81\u2013106","journal-title":"Machine Learning"},{"key":"3_CR28","volume-title":"Concept formation: Knowledge and experience in unsupervised learning","author":"Y. Reich","year":"1991","unstructured":"Reich, Y., & Fenves, S. J. (1991). The formation and use of abstract concepts in design. In D. H. Fisher, M. J. Pazzani, & P. Langley (Eds.), Concept formation: Knowledge and experience in unsupervised learning. San Francisco, CA: Morgan Kaufmann."},{"key":"3_CR29","volume-title":"Concept formation: Knowledge and experience in unsupervised learning","author":"K. Thompson","year":"1991","unstructured":"Thompson, K., & Langley, P. (1991). Concept formation in structured domains. In D. H. Fisher, M. J. Pazzani, & P. Langley (Eds.), Concept formation: Knowledge and experience in unsupervised learning. San Mateo, CA: Morgan Kaufmann."},{"key":"3_CR30","volume-title":"Concept formation: Knowledge and experience in unsupervised learning","author":"J. Yoo","year":"1991","unstructured":"Yoo, J., & Fisher, D. H. (1991). Concept formation over problem-solving experience. In D. H. Fisher, M. J. Pazzani, & P. Langley (Eds.), Concept formation: Knowledge and experience in unsupervised learning. San Francisco, CA: Morgan Kaufmann."}],"container-title":["Lecture Notes in Computer Science","Machine Learning and Its Applications"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-44673-7_3","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2019,1,24]],"date-time":"2019-01-24T07:46:32Z","timestamp":1548315992000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-44673-7_3"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2001]]},"ISBN":["9783540424901","9783540446736"],"references-count":30,"URL":"https:\/\/doi.org\/10.1007\/3-540-44673-7_3","relation":{},"ISSN":["0302-9743"],"issn-type":[{"type":"print","value":"0302-9743"}],"subject":[],"published":{"date-parts":[[2001]]}}}