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http://hdl.handle.net/1942/8046
Title: | On Phase Transitions in Learning Sparse Networks | Authors: | HOLLANDERS, Goele BEX, Geert Jan GYSSENS, Marc TUYLS, Karl WESTRA, Ronald |
Issue Date: | 2007 | Source: | DASTANI, Mohammad Mehdi & DE JONG, Edwin (Ed.) Proceedings of the 19th Belgian-Dutch Conference on Artificial Intelligence, November 2007, Utrecht, The Netherlands. p. 359-360. | Abstract: | In this paper [1] we study the identification of sparse interaction networks, from a given set of observations, as a machine learning problem. An example of such a network is a sparse gene-protein interaction network, for more details see [2]. Sparsity means that we are provided with a small data set and a high number of unknown components of the system, most of which are zero. Under these circumstances, a model needs to be learned that fits the underlying system, capable of generalization. This corresponds to the student-teacher setting in machine learning. | Document URI: | http://hdl.handle.net/1942/8046 | Category: | C2 | Type: | Proceedings Paper |
Appears in Collections: | Research publications |
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