{"status":"ok","message-type":"work","message-version":"1.0.0","message":{"indexed":{"date-parts":[[2024,9,6]],"date-time":"2024-09-06T23:22:51Z","timestamp":1725664971823},"publisher-location":"Berlin, Heidelberg","reference-count":17,"publisher":"Springer Berlin Heidelberg","isbn-type":[{"type":"print","value":"9783540615101"},{"type":"electronic","value":"9783540686842"}],"content-domain":{"domain":[],"crossmark-restriction":false},"short-container-title":[],"published-print":{"date-parts":[[1996]]},"DOI":"10.1007\/3-540-61510-5_25","type":"book-chapter","created":{"date-parts":[[2012,2,26]],"date-time":"2012-02-26T16:46:59Z","timestamp":1330274819000},"page":"127-132","source":"Crossref","is-referenced-by-count":3,"title":["Prediction of mixtures"],"prefix":"10.1007","author":[{"given":"K.","family":"Pawelzik","sequence":"first","affiliation":[]},{"given":"K. -R.","family":"M\u00fcller","sequence":"additional","affiliation":[]},{"given":"J.","family":"Kohlmorgen","sequence":"additional","affiliation":[]}],"member":"297","published-online":{"date-parts":[[2005,6,9]]},"reference":[{"key":"25_CR1","volume-title":"Advances in Neural Information Processing Systems 8 (NIPS 95)","author":"S. Amari","year":"1996","unstructured":"Amari, S., Cichocki, A., Yang, H., A new learning algorithm for blind signal separation, Advances in Neural Information Processing Systems 8 (NIPS 95), D.S. Touretzky, M.C. Mozer and M.E. Hasselmo (eds.), MIT Press: Cambridge, MA (1996)"},{"key":"25_CR2","doi-asserted-by":"crossref","first-page":"1129","DOI":"10.1162\/neco.1995.7.6.1129","volume":"7","author":"A.J. Bell","year":"1995","unstructured":"Bell, A.J., Sejnowski, T., An information-maximization approach to blind separation and blind deconvolution, Neural Computation 7, 1129\u20131159 (1995)","journal-title":"Neural Computation"},{"key":"25_CR3","unstructured":"Bengio, Y., Frasconi, P. (1994). Credit assignment through time: Alternatives to backpropagation. NIPS 93, Morgan Kaufmann."},{"key":"25_CR4","doi-asserted-by":"crossref","unstructured":"Cardoso, J.F., Laheld, B., Equivariant adaptive source separation, to appear in IEEE Trans. on Signal Processing (1996)","DOI":"10.1109\/78.553476"},{"key":"25_CR5","doi-asserted-by":"crossref","first-page":"1","DOI":"10.1016\/0165-1684(91)90079-X","volume":"24","author":"C. Jutten","year":"1991","unstructured":"Jutten, C., Herault, J., Blind separation of sources, Part I: An adaptive algorithm based on neuromimetic architecture, Signal Processing 24, 1\u201310 (1991)","journal-title":"Signal Processing"},{"key":"25_CR6","first-page":"1045","volume-title":"ICANN'94","author":"J. Kohlmorgen","year":"1994","unstructured":"Kohlmorgen, J., M\u00fcller, K.-R., Pawelzik, K. (1994). Competing Predictors Segment and Identify Switching Dynamics. ICANN'94, Springer London, 1045\u20131048."},{"key":"25_CR7","first-page":"215","volume-title":"ICANN'95","author":"J. Kohlmorgen","year":"1995","unstructured":"Kohlmorgen, J., M\u00fcller, K.-R., Pawelzik, K. (1995). Improving short-term prediction with competing experts. ICANN'95, EC2 & Cie, Paris, 2:215\u2013220."},{"key":"25_CR8","doi-asserted-by":"crossref","first-page":"521","DOI":"10.1209\/0295-5075\/14\/6\/004","volume":"14","author":"W. Liebert","year":"1991","unstructured":"Liebert, W., Pawelzik, K., Schuster, H.G., Optimal embeddings of chaotic attractors from topological considerations, Europhys. Lett. 14, 521 (1991).","journal-title":"Europhys. Lett."},{"key":"25_CR9","doi-asserted-by":"crossref","first-page":"287","DOI":"10.1126\/science.267326","volume":"197","author":"M. Mackey","year":"1977","unstructured":"Mackey, M., Glass, L., Oscillation and chaos in a physiological control system, Science 197, 287 (1977).","journal-title":"Science"},{"issue":"23","key":"25_CR10","doi-asserted-by":"crossref","first-page":"3634","DOI":"10.1103\/PhysRevLett.72.3634","volume":"72","author":"L. Molgedey","year":"1994","unstructured":"Molgedey, L., Schuster, H.G., Separation of a mixture of independent signals using time delayed correlations, Phys. Rev. Lett. 72, 23, 3634\u20133637 (1994)","journal-title":"Phys. Rev. Lett."},{"key":"25_CR11","doi-asserted-by":"crossref","first-page":"281","DOI":"10.1162\/neco.1989.1.2.281","volume":"1","author":"J. Moody","year":"1989","unstructured":"Moody, J., C. Darken (1989). Fast Learning in Networks of Locally-Tuned Processing Units. Neural Computation 1, 281\u2013294, 1989.","journal-title":"Neural Computation"},{"issue":"No.10","key":"25_CR12","first-page":"1306","volume":"E78-A","author":"K.-R. M\u00fcller","year":"1995","unstructured":"M\u00fcller, K.-R., Kohlmorgen, J., Pawelzik, K. (1995). Analysis of Switching Dynamics with Competing Neural Networks, IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, E78-A, No.10, 1306\u20131315.","journal-title":"IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences"},{"issue":"2","key":"25_CR13","doi-asserted-by":"crossref","first-page":"342","DOI":"10.1162\/neco.1996.8.2.340","volume":"8","author":"K. Pawelzik","year":"1996","unstructured":"Pawelzik, K., Kohlmorgen, J., M\u00fcller, K.-R. (1996). Annealed Competition of Experts for a Segmentation and Classification of Switching Dynamics, Neural Computation, 8:2, 342\u2013358.","journal-title":"Neural Computation"},{"key":"25_CR14","volume-title":"Parallel distributed processing","author":"D.E. Rumelhart","year":"1984","unstructured":"Rumelhart, D.E., McClelland, J.L., Parallel distributed processing, MIT Press, Cambridge Massachusetts (1984)."},{"key":"25_CR15","doi-asserted-by":"crossref","unstructured":"Takens, F., Detecting strange attractors in turbulence, in: Rand, D., Young, L.-S., (Eds.), Dynamical Systems and Turbulence, Springer Lecture Notes in Mathematics, 898, 366 (1981).","DOI":"10.1007\/BFb0091924"},{"key":"25_CR16","unstructured":"Weigend, A.S., Gershenfeld, N.A. (Eds.), Time Series Prediction: Forecasting the Future and Understanding the Past, Addison-Wesley (1994)"},{"key":"25_CR17","doi-asserted-by":"crossref","unstructured":"Weigend, A.S., Mangeas, M., Nonlinear gated experts for time series: discovering regimes and avoiding overfitting, University of Colorado tech. Report. CU-CS-764-95 and submitted to Machine Learning (1995)","DOI":"10.1142\/S0129065795000251"}],"container-title":["Lecture Notes in Computer Science","Artificial Neural Networks \u2014 ICANN 96"],"original-title":[],"link":[{"URL":"http:\/\/link.springer.com\/content\/pdf\/10.1007\/3-540-61510-5_25.pdf","content-type":"unspecified","content-version":"vor","intended-application":"similarity-checking"}],"deposited":{"date-parts":[[2021,12,31]],"date-time":"2021-12-31T05:39:40Z","timestamp":1640929180000},"score":1,"resource":{"primary":{"URL":"http:\/\/link.springer.com\/10.1007\/3-540-61510-5_25"}},"subtitle":[],"short-title":[],"issued":{"date-parts":[[1996]]},"ISBN":["9783540615101","9783540686842"],"references-count":17,"URL":"https:\/\/doi.org\/10.1007\/3-540-61510-5_25","relation":{},"ISSN":["0302-9743","1611-3349"],"issn-type":[{"type":"print","value":"0302-9743"},{"type":"electronic","value":"1611-3349"}],"subject":[],"published":{"date-parts":[[1996]]}}}