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Browsing by Author "Mooij, J.M."
Now showing items 1-28 of 28
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Domain Adaptation by Using Causal Inference to Predict Invariant Conditional Distributions Magliacane, S.; Ommen, T. van; Claassen, T.; Bongers, S.; Versteeg, P.; Mooij, J.M.2018, Part of book or chapter of book (Magliacane, S. (ed.), Advances in Neural Information Processing Systems, pp. 10869-10879) -
Ancestral Causal Inference Magliacane, S.; Claassen, T.; Mooij, J.M.2016, Article in monograph or in proceedings (NIPS 2016: 29th Conference on Neural Information Processing Systems 2016, Barcelona, Spain, pp. 1-20) -
MAGMA: Generalized Gene-Set Analysis of GWAS Data Leeuw, C.A. de; Mooij, J.M. ; Heskes, T. ; Posthuma, D.2015, Article / Letter to editor (Plos Computational Biology, vol. 11, iss. 4, (2015), article e10042)
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Causal Discovery with Continuous Additive Noise Models Peters, J.; Mooij, J.M. ; Janzing, D.; Schölkopf, B.2014, Article / Letter to editor (Journal of Machine Learning Research, vol. 15, iss. June, (2014), pp. 2009-2053)
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Proceedings of the UAI 2014 Workshop Causal Inference: Learning and Prediction Quebec City, Quebec, Canada July 27, 2014 Mooij, J.M. ; Janzing, D.; Peters, J.; Claassen, T.; Hyttinen, A.2014, Book (monograph) -
From Ordinary Differential Equations to Structural Causal Models: the deterministic case Mooij, J.M. ; Janzing, D.; Schölkopf, B.2013, Article in monograph or in proceedings (Nicholson, A. (ed.), Uncertainty In Artificial Intelligence : proceedings of the Twenty-Ninth Conference (2013), July 12-14, Bellevue, Washington, United States, pp. 431-449)
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Learning sparse causal models is not NP-hard Claassen, T.; Mooij, Joris ; Heskes, T.2013, Article in monograph or in proceedings (Nicholson, A. (ed.), Uncertainty In Artificial Intelligence : proceedings of the Twenty-Ninth Conference (2013), July 12-14, Bellevue, Washington, United States, pp. 172-181)
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Supplement - Learning Sparse Causal Models is not NP-hard Claassen, T.; Mooij, J.M. ; Heskes, T.2013, External research report
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Cyclic Causal Discovery from Continuous Equilibrium Data 2013, Article in monograph or in proceedings (Nicholson, A. (ed.), Uncertainty In Artificial Intelligence : proceedings of the Twenty-Ninth Conference (2013), July 12-14, Bellevue, Washington, United States, pp. 431-439)
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Information-geometric approach to inferring causal directions Janzing, D.; Mooij, J.M. ; Zhang, K.; Lemeire, J.; Zscheischler, J.; Daniušis, P.; Steudel, B.; Schölkopf, B.2012, Article / Letter to editor (Artificial Intelligence, vol. 182-183, (2012), pp. 1-31)
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On causal and anticausal learning Schölkopf, B.; Janzing, D.; Peters, J.; Sgouritsa, E.; Zhang, K.; Mooij, J.M.2012, Article in monograph or in proceedings (ICML 2012 : Proceedings of the 29th International Conference on Machine Learning, Edinburgh, Scotland, June 26 - July 1, 2012, pp. 1255-1262)
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Learning of causal relations Quinn, J.; Mooij, J.M. ; Heskes, T. ; Biehl, M.2011, Article in monograph or in proceedings (ESANN 2011 : Proceedings of the 19th European Symposium on Artificial Neural Networks, pp. 287-296)
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Efficient inference in matrix-variate Gaussian models with iid observation noise Stegle, O.; Lippert, C.; Mooij, J.M. ; Larence, N.D.; Borgwardt, K.2011, Article in monograph or in proceedings (Shawe-Taylor, J. (ed.), Advances in Neural Information Processing Systems, pp. 630-638)
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Identifiability of causal graphs using functional models Peters, J.; Mooij, J.M. ; Janzing, D.; Schölkop, B.2011, Article in monograph or in proceedings (Proceedings of the 27th Conference on Uncertainty in Artificial Intelligence, UAI 2011, pp. 589-598)
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On causal discovery with cyclic additive noise model Mooij, J.M. ; Janzing, D.; Heskes, T. ; Schölkopf, B.2011, Article in monograph or in proceedings (Shawe-Taylor, J. (ed.), Advances in Neural Information Processing Systems, pp. 639-647)
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A Graphical Model Framework for Decoding in the Visual ERP-Based BCI Speller Martens, S.M.M.; Mooij, J.M. ; Hill, N.J.; Farquhar, J.D.R. ; Schölkopf, B.2011, Article / Letter to editor (Neural Computation, vol. 23, iss. 1, (2011), pp. 160-182)
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Bounds on marginal probability distributions 2009, Article / Letter to editor (Advances in Neural Information Processing Systems, vol. 22, (2009), pp. 1105-1113)
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Sufficient Conditions for Convergence of the Sum-Product Algorithm 2007, Article / Letter to editor (IEEE Transactions on Information Theory, vol. 53, iss. 12, (2007), pp. 4422-4437)
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Loop corrections for approximate inference on factor graphs. 2007, Article / Letter to editor (Journal of Machine Learning Research, vol. 8, iss. may, (2007), pp. 1113-1143)
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Inference in the Promedas medical expert system Wemmenhove, B. ; Mooij, J.M. ; Wiegerinck, W.A.J.J. ; Leisink, M.A.R. ; Kappen, H.J. ; Neijt, J.P.2007, Article in monograph or in proceedings (11th Conference on Artificial Intelligence in Medicine (AIME 07), pp. 456-460)
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Truncating the loop series expansion for belief propagation Gómez, V.; Mooij, J.M. ; Kappen, H.J.2007, Article / Letter to editor (Journal of Machine Learning Research, vol. 8, iss. september, (2007), pp. 1987-2016)
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Loop Corrections for Approximate Inference on Factor Graphs 2007, Article / Letter to editor (Journal of Machine Learning Research, vol. 8, iss. may, (2007), pp. 1113-1143)
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Time-of-flight magnetic resonance angiography in the follow-up of intracranial aneurysms treated with Guglielmi detachable coils. Westerlaan, H.E.; Vliet, A.M. van der ; Hew, J.M.; Meiners, L.C.; Metzemaekers, J.D.; Mooij, J.M. ; Oudkerk, M.2005, Article / Letter to editor (Neuroradiology, vol. 47, iss. 8, (2005), pp. 622-629)
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On the properties of the Bethe approximation and loopy belief propagation on binary networks 2005, Article / Letter to editor (Journal of Statistical Mechanics : Theory and Experiment, iss. 11, (2005), pp. P11012-11012)
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Validity Estimates for Loopy Belief Propagation on Binary Real-world Networks 2005, Article / Letter to editor (Advances in Neural Information Processing Systems, vol. 17, iss. 17, (2005), pp. 945-952)
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Sufficient conditions for convergence of Loopy Belief Propagation 2005, Article in monograph or in proceedings (UAI 2005, pp. 396-403)
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Quantitative Imaging through a Spectrograph – 1: principles and theory Tolboom, R.A.L.; Dam, N.J. ; Meulen, J.J. ter ; Mooij, J.M. ; Maassen, J.D.M.2004, Article / Letter to editor (Applied Optics, vol. 43, iss. 30, (2004), pp. 5669-5681)
Now showing items 1-28 of 28
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