caa a22 4500 467945128 CHVBK 20180323165700.0 cr unu---uuuuu 170328e19870901xx s 000 0 eng 10.1007/BF00114264 doi (NATIONALLICENCE)springer-10.1007/BF00114264 (NATIONALLICENCE)springer-10.1023/A:1022800624210 Lebowitz Michael Department of Computer Science, Columbia University, 10027, New York, NY, U.S.A. aut Experiments with incremental concept formation: UNIMEM [Elektronische Daten] [Michael Lebowitz] Learning by observation involves automatic creation of categories that summarize experience. In this paper we present UNIMEM, an artificial intelligence system that learns by observation. UNIMEM is a robust program that can be run on many domains with real-world problem characteristics such as uncertainty, incompleteness, and large numbers of examples. We give an overview of the program that illustrates several key elements, including the automatic creation of non-disjoint concept hierarchies that are evaluated over time. We then describe several experiments that we have carried out with UNIMEM, including tests on different domains (universities, Congressional voting records, and terrorist events) and an examination of the effect of varying UNIMEM's parameters on the resulting concept hierarchies. Finally we discuss future directions for our work with the program. Kluwer Academic Publishers, 1987 Concept formation nationallicence learning by observation nationallicence generalization nationallicence conceptual clustering nationallicence Machine Learning Kluwer Academic Publishers 2/2(1987-09-01), 103-138 0885-6125 2:2<103 1987 2 10994 https://doi.org/10.1007/BF00114264 text/html Onlinezugriff via DOI 1 research-article jats NATIONALLICENCE 856 40 https://doi.org/10.1007/BF00114264 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Lebowitz Michael Department of Computer Science, Columbia University, 10027, New York, NY, U.S.A aut NATIONALLICENCE 773 0- Machine Learning Kluwer Academic Publishers 2/2(1987-09-01), 103-138 0885-6125 2:2<103 1987 2 10994 NATIONALLICENCE 856 40 https://doi.org/10.1023/A:1022800624210 text/html Onlinezugriff via DOI NATIONALLICENCE 100 1- Lebowitz Michael E-mail: LEBOWITZ@CS.COLUMBIA.EDU aut NATIONALLICENCE 773 0- Machine Learning Kluwer Academic Publishers-Plenum Publishers 2/2(1987-09-01), 103-138 0885-6125 2:2<103 1987 2 10994 Metadata rights reserved Springer special CC-BY-NC licence nationallicence BK010053 XK010053 XK010000 NATIONALLICENCE NATIONALLICENCE NL-springer NATIONALLICENCE NATIONALLICENCE NL-springer