{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2025,11,9]],"date-time":"2025-11-09T03:25:39Z","timestamp":1762658739427},"reference-count":30,"publisher":"Elsevier BV","issue":"1-4","license":[{"start":{"date-parts":[[2000,11,1]],"date-time":"2000-11-01T00:00:00Z","timestamp":973036800000},"content-version":"tdm","delay-in-days":0,"URL":"https:\/\/www.elsevier.com\/tdm\/userlicense\/1.0\/"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":["Neurocomputing"],"published-print":{"date-parts":[[2000,11]]},"DOI":"10.1016\/s0925-2312(00)00293-9","type":"journal-article","created":{"date-parts":[[2002,7,25]],"date-time":"2002-07-25T10:40:00Z","timestamp":1027593600000},"page":"3-26","source":"Crossref","is-referenced-by-count":6,"title":["Class separability estimation and incremental learning using boundary methods"],"prefix":"10.1016","volume":"35","author":[{"given":"Jos\u00e9-Luis","family":"Sancho","sequence":"first","affiliation":[]},{"given":"William E.","family":"Pierson","sequence":"additional","affiliation":[]},{"given":"Batu","family":"Ulug","sequence":"additional","affiliation":[]},{"given":"An\u0131\u0301bal R.","family":"Figueiras-Vidal","sequence":"additional","affiliation":[]},{"given":"Stanley C.","family":"Ahalt","sequence":"additional","affiliation":[]}],"member":"78","reference":[{"key":"10.1016\/S0925-2312(00)00293-9_BIB1","first-page":"99","article-title":"On a measure of divergence between two statistical populations defined by their probability distributions","volume":"35","author":"Bhattacharyya","year":"1943","journal-title":"Bull. Calcutt Math. Soc."},{"key":"10.1016\/S0925-2312(00)00293-9_BIB2","doi-asserted-by":"crossref","first-page":"749","DOI":"10.1109\/72.377979","article-title":"Learning without local minima in radial basis function networks","volume":"6","author":"Bianchini","year":"1995","journal-title":"IEEE Trans. Neural Networks"},{"key":"10.1016\/S0925-2312(00)00293-9_BIB3","doi-asserted-by":"crossref","first-page":"313","DOI":"10.1016\/0925-2312(95)00032-1","article-title":"Optimal learning in artificial neural networks: a review of theoretical results","volume":"6","author":"Bianchini","year":"1996","journal-title":"Neurocomputing"},{"key":"10.1016\/S0925-2312(00)00293-9_BIB4","series-title":"Neural Networks for Pattern Recognition","author":"Bishop","year":"1995"},{"issue":"1","key":"10.1016\/S0925-2312(00)00293-9_BIB5","doi-asserted-by":"crossref","first-page":"175","DOI":"10.1016\/0893-6080(94)90066-3","article-title":"Pedagogical pattern selection strategies","volume":"7","author":"Cachin","year":"1994","journal-title":"Neural Networkds"},{"key":"10.1016\/S0925-2312(00)00293-9_BIB6","doi-asserted-by":"crossref","first-page":"159","DOI":"10.1016\/S0020-0255(76)90746-5","article-title":"On information and distance measures, error bounds and feature selection","volume":"10","author":"Chen","year":"1976","journal-title":"Inform. Sci."},{"key":"10.1016\/S0925-2312(00)00293-9_BIB7","doi-asserted-by":"crossref","first-page":"493","DOI":"10.1214\/aoms\/1177729330","article-title":"A measure of asymptotic efficiency for tests of a hypothesis based on the sum of observations","volume":"23","author":"Chernoff","year":"1952","journal-title":"Ann. Math. Statist."},{"issue":"12","key":"10.1016\/S0925-2312(00)00293-9_BIB8","doi-asserted-by":"crossref","first-page":"2975","DOI":"10.1109\/78.476441","article-title":"On the resolvability of normally distributed vector parameter estimates","volume":"43","author":"Clark","year":"1995","journal-title":"IEEE Trans. Signal Process."},{"key":"10.1016\/S0925-2312(00)00293-9_BIB9","series-title":"A Course in Density Estimation","author":"Devroye","year":"1987"},{"key":"10.1016\/S0925-2312(00)00293-9_BIB10","series-title":"Pattern Classification and Scene Analysis","author":"Duda","year":"1973"},{"key":"10.1016\/S0925-2312(00)00293-9_BIB11","series-title":"Introduction to Statistical Pattern Recognition","author":"Fukunaga","year":"1990"},{"key":"10.1016\/S0925-2312(00)00293-9_BIB12","series-title":"Neural Networks Learning and Expert Systems","author":"Gallant","year":"1993"},{"issue":"1","key":"10.1016\/S0925-2312(00)00293-9_BIB13","doi-asserted-by":"crossref","first-page":"76","DOI":"10.1109\/34.107014","article-title":"On the problem of local minima in backpropagation","volume":"14","author":"Gori","year":"1992","journal-title":"IEEE Trans. Pattern Anal. Mach. Intelligence"},{"issue":"5","key":"10.1016\/S0925-2312(00)00293-9_BIB14","doi-asserted-by":"crossref","first-page":"1051","DOI":"10.1109\/72.712191","article-title":"Comments on local minima free conditions in multilayer perceptrons","volume":"9","author":"Gori","year":"1998","journal-title":"IEEE Trans. Neural Networks"},{"key":"10.1016\/S0925-2312(00)00293-9_BIB15","series-title":"Neural Networks: A Comprehensive Foundation","author":"Haykin","year":"1994"},{"key":"10.1016\/S0925-2312(00)00293-9_BIB16","series-title":"Introduction to the Theory of Neural Computation","author":"Hertz","year":"1991"},{"issue":"4","key":"10.1016\/S0925-2312(00)00293-9_BIB17","doi-asserted-by":"crossref","first-page":"388","DOI":"10.1109\/34.206958","article-title":"Feature extractoin based on decision boundaries","volume":"15","author":"Lee","year":"1993","journal-title":"IEEE Trans. Pattern Anal. Mach. Intelligence"},{"key":"10.1016\/S0925-2312(00)00293-9_BIB18","unstructured":"D.J.C. MacKay, Bayesian methods for adaptive models, Ph. D. Thesis, Caltech, Pasadena, CA, 1992."},{"key":"10.1016\/S0925-2312(00)00293-9_BIB19","doi-asserted-by":"crossref","first-page":"1065","DOI":"10.1214\/aoms\/1177704472","article-title":"On estimation of a probability density function and mode","volume":"33","author":"Parzen","year":"1962","journal-title":"Ann. Math. Statist."},{"key":"10.1016\/S0925-2312(00)00293-9_BIB20","unstructured":"W.E. Pierson, Using Boundary Methods for Estimating Class Separability, Ph. D. Thesis, The Ohio State University, Ohio, 1998."},{"key":"10.1016\/S0925-2312(00)00293-9_BIB21","unstructured":"W.E. Pierson, B. Ulug, S.C. Ahalt, J.L. Sancho, A.R. Figueiras-Vidal, Theoretical and complexity issues for feature set evaluation using boundary methods, Proceedings of the 1998 SPIE Conference on Automatic Target Recognition VII, ATR Theory & Performance Estimation, Vol. 3070, 1998, pp. 173\u2013184."},{"key":"10.1016\/S0925-2312(00)00293-9_BIB22","doi-asserted-by":"crossref","first-page":"305","DOI":"10.1109\/72.207618","article-title":"Selecting concise training sets from clean data","volume":"4","author":"Plutowski","year":"1993","journal-title":"IEEE Trans. Neural Networks"},{"key":"10.1016\/S0925-2312(00)00293-9_BIB23","unstructured":"D.E. Rumerlhart, G.E. Hinton, R.J. Williams, Learning internal representations by error propagation, in: D.E. Rumelhart, J.L. McClelland, the PDP Research Group (Eds.), Parallel Distributed Processing: Explorations in the Microstructure of Cognition, Vol. 1, Foundations, MIT Press, Cambridge, MA, 1986, pp. 318\u2013362."},{"key":"10.1016\/S0925-2312(00)00293-9_BIB24","doi-asserted-by":"crossref","unstructured":"J.L. Sancho, A.R. Figueiras-Vidal, B. Ulug, W. Pierson, S.C. Ahalt, Boundary methods for distribution analysis, Proceedings of the Fourth Bayona Workshop on Intelligent Methods for Signal Processing and Communications, Bayona (Vigo), Spain, June 1996, pp. 6\u201310.","DOI":"10.1007\/978-1-4612-2018-3_8"},{"key":"10.1016\/S0925-2312(00)00293-9_BIB25","series-title":"Decision, Estimation, and Classification: An Introduction to Pattern Recognition and Related Topics","author":"Therrien","year":"1989"},{"key":"10.1016\/S0925-2312(00)00293-9_BIB26","doi-asserted-by":"crossref","first-page":"49","DOI":"10.1137\/1038003","article-title":"Semidefinite programming","volume":"38","author":"Vandenverghe","year":"1996","journal-title":"SIAM Rev."},{"key":"10.1016\/S0925-2312(00)00293-9_BIB27","first-page":"600","article-title":"A representation theorem and its application to spherically-invariant random processes","volume":"19","author":"Yao","year":"1972","journal-title":"IEEE Trans. Inform. Theory"},{"key":"10.1016\/S0925-2312(00)00293-9_BIB28","series-title":"Handbook of Pattern Recognition and Image Processing","author":"Young","year":"1986"},{"key":"10.1016\/S0925-2312(00)00293-9_BIB29","series-title":"Artificial Neural Networks: Proceedings of the ICANN, Vol. 1","first-page":"227","article-title":"Focused incremental learning for improved generalization with reduced training sets","author":"Zhang","year":"1991"},{"issue":"1","key":"10.1016\/S0925-2312(00)00293-9_BIB30","doi-asserted-by":"crossref","first-page":"67","DOI":"10.1142\/S0129065794000086","article-title":"Accelerated learning by active example selection","volume":"5","author":"Zhang","year":"1994","journal-title":"Int. J. Neural Systems"}],"container-title":["Neurocomputing"],"original-title":[],"language":"en","link":[{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231200002939?httpAccept=text\/xml","content-type":"text\/xml","content-version":"vor","intended-application":"text-mining"},{"URL":"https:\/\/api.elsevier.com\/content\/article\/PII:S0925231200002939?httpAccept=text\/plain","content-type":"text\/plain","content-version":"vor","intended-application":"text-mining"}],"deposited":{"date-parts":[[2020,1,9]],"date-time":"2020-01-09T08:59:18Z","timestamp":1578560358000},"score":1,"resource":{"primary":{"URL":"https:\/\/linkinghub.elsevier.com\/retrieve\/pii\/S0925231200002939"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[2000,11]]},"references-count":30,"journal-issue":{"issue":"1-4","published-print":{"date-parts":[[2000,11]]}},"alternative-id":["S0925231200002939"],"URL":"https:\/\/doi.org\/10.1016\/s0925-2312(00)00293-9","relation":{},"ISSN":["0925-2312"],"issn-type":[{"value":"0925-2312","type":"print"}],"subject":[],"published":{"date-parts":[[2000,11]]}}}