Ata Kaban: Publications

Ata Kaban - Publications

Refereed journal papers

J. Sun and A. Kaban. A Fast Algorithm for Robust Mixtures in the Presence of Measurement Errors. IEEE Transactions on Neural Networks. (conditionally accepted)
R.J Durrant and A Kaban. When is 'Nearest Neighbor' Meaningful: A Converse Theorem and Implications Journal of Complexity. Volume 25, Issue 4, August 2009, pp. 385-397.

E Bingham, A Kaban, M Fortelius. The aspect Bernoulli model: Multiple causes of presences and absences. Pattern Analysis and Applications Vol. 12, No 1 / Feb, pp. 55-78, 2009. code
X Wang and A Kaban. A dynamic bibliometric model for identifying online communities. Data Mining and Knowledge Discovery, vol. 16 Nr. 1, pp. 67-107, 2008.
A Kaban and E Bingham. Factorisation and denoising of 0-1 data: A variational approach. Neurocomputing, Vol 71, Issues 10-12, June 2008, pp. 2291-2308.
A Kaban. Predictive Modelling of Heterogeneous Sequence Collections by Topographic Ordering of Histories. Machine Learning Journal, Vol. 68, Nr 1 / July, 2007, pp.63-95. (c) Springer. code
A Kaban. On Bayesian Classification with Laplace Priors. Pattern Recognition Letters vol. 28 issue 10, July 2007, pp. 1271-1282. (c) Elsevier.
M Harva and A Kaban. Variational Learning for Rectified Factor Analysis. Signal Processing, 87(3), pp.509-527. (c) Elsevier, 2007
L Nolan, S Raychaudhury and A Kaban. Young stellar populations in early-type galaxies in the Sloan Digital Sky Survey. Mon. Not. of the Royal Astron. Soc., 375 (1), 381-387, Blackwell Publisher, 2007
LA Nolan, M Harva, A Kaban and S Raychaudhury, A data-driven Bayesian approach to finding young stellar populations in early-type galaxies from their UV-optical spectra, Mon. Not. of the Royal Astron. Soc., Blackwell Publisher. 366(1), pp. 321-338, 2006
M Girolami and A Kaban. Sequential Activity Profiling: Latent Dirichlet Allocation of Markov Chains. Data Mining and Knowledge Discovery. 10, pp. 175--196, 2005. code
I Nabney, Y Sun, P Tino and A Kaban: Semisupervised Learning of Hierarchical Latent Trait Models for Data Visualization. IEEE Transactions on Knowledge and Data Engineering. 17(3), 2005.
E Bingham, A Kaban and M Girolami. Topic identification in dynamical text by complexity pursuit, Neural Processing Letters 17: 1-15, 2003, pp. 69-83. Code: cp.m, test_cp.m

Kaban, A and Girolami, M. Fast Extraction of Semantic Features from a Latent Semantic Indexed Corpus. Neural Processing Letters, vol. 15, issue 1, 2002, pp. 31-43.
Kaban, A. and Girolami, M: A Dynamic Probabilistic Model to Visualise Topic Evolution in Text Streams, Journal of Intelligent Information Systems, special issue on Automated Text Categorization, 18:2/3, 107-125, 2002.

Kaban, A and Girolami, M. A Combined Latent Class and Trait Model for the Analysis and Visualisation of Discrete Data IEEE Transactions on Pattern Analysis and Machine Intelligence 23(8), pp. 859-872, 2001. code

Lorincz, A, Szatmary, B. and Kaban, A. Sign-changing filters similar to cells in primary visual cortex emerge by independent component analysis of temporally convolved natural image sequences, Neurocomputing 38-40, 2001, pp. 1437-1442.

Refereed conference papers

A Kaban and R.J Durrant. Learning with L_q<1 vs L₁-norm regularization with exponentially many irrelevant features. Proc. of the 19^th European Conference on Machine Learning (ECML08), 15-19 Sept 2008, Antwerp, Belgium. W. Daelemans et al. (eds.): LNAI 5211, pp. 580-596. © Springer. slides code
A Kaban. A probabilistic neighborhood translation approach for non-standard text categorization. Proc. Discovery Science (DS08), 13-16 October 2008, Budapest, Hungary. LNAI (c) Springer, J.-F Boulicaut, M.R Berthold and T. Horvath (eds): LNAI 5255, pp. 332-343, 2008. © Springer.
J Sun, A Kaban and S Raychaudhury. Robust mixtures in the presence of measurement errors. In Proceedings of the 24-th Annual International Conference on Machine Learning 2007 (ICML07), (Ed.) Z. Ghahramani. June 20-24, Oregon State University, Corvallis, OR, USA, pp. 847-854. slides
J Sun, A Kaban and S Raychaudhury. Robust visual mining of data with error information. The 11-th European Conference on Principles and Practice of Knowledge Discovery in Databases (PKDD07). 17-21 September 2007, Warsaw, Poland, pp.573-580.

A Kaban and X Wang. Deconvolutive Clustering of Markov States. The 17th European Conference on Machine Learning (ECML06), LNAI 4212, pp. 246-257, 2006. (c) Springer; (Eds.) J Fuernkranz, T Scheffer and M Spiliopoulou. slides
A Kaban and E Bingham. ICA-based Binary Feature Construction. Proc. of the 6-th International Conference on Independent Component Analysis and Blind Source Separation (ICA06). Charleston, March 5-8, South Carolina, USA. (c) Springer. Eds: J Rosca, D Erdogmus, J.C Principe, S Haykin. pp. 140-148,2006. LNCS 3889, ISBN 3-540-32630-8. slides

A Kaban, J Sun, S Raychaudhury, L Nolan. On class visualisation for high dimensional data: Exploring scientific data sets. Proc. of the 9-th International Conference on Discovery Science (DS06), October 2006, Barcelona, Spain. LNAI 4265, (c) Springer. slides
X Wang and A Kaban. Model-based Estimation of Word Saliency in Text. Proc. of the 9-th International Conference on Discovery Science (DS06), October 2006, Barcelona, Spain. LNAI 4265, (c) Springer.
X Wang and A Kaban. State Aggregation in Higher-Order Markov Chains for Finding Online Communities. 7-th International Conference on Intelligent Data Engineering and Automated Learning (IDEAL06). Sept 2006, Burgos, Spain.
A Kaban, L Nolan and S Raychaudhury. Finding Young Stellar Populations in Elliptical Galaxies from Independent Components of Optical Spectra. Proc. SIAM International Conference on Data Mining (SDM05), 21--24 April 2005, Newport Beach California, USA, pp. 183--194.
M Harva and A Kaban, A Variational Bayesian Method for Rectified Factor Analysis. Proc. IEEE International Joint Conference on Neural Networks (IJCNN05), Montreal, pp. 185-190.

A Kaban, A Scalable Generative Topographic Mapping for Sparse Data Sequences. Proc. IEEE International Conference on Information Technology: Coding and Computing (ITCC05), Track: Data Coding and Compression, April 4--6, 2005, Las Vegas, NV, USA, pp.51--56. slides

X Wang and A Kaban, Finding Uninformative Features in Binary Data, Proc. of the Sixth International Conference on Intelligent Data Engineering and Automated Learning (IDEAL05), 6-8 July, Queensland, Australia, pp. 40-47. (c) Springer

M Girolami and A Kaban. Simplicial Mixtures of Markov Chains: Distributed Modelling of Dynamic User Profiles. Advances in Neural Information Processing Systems 16 (NIPS03), eds Sebastian Thrun, Lawrence Saul and Bernard Scholkopf, The MIT Press 2004, pp. 9-16.
P Tino, A Kaban and Y Sun. A Generative Probabilistic Approach to Visualising Sets of Symbolic Sequences. Proceedings of the Tenth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining - (KDD04), August 22-25, Seattle, Washington, USA, (eds.) R. Kohavi, J. Gehrke, W. DuMouchel, J. Ghosh. pp. 701-706, ACM Press, 2004.
A Kaban, E Bingham and T Hirsimaki. Learning to Read Between the Lines: The Aspect Bernoulli Model, Proc. of the SIAM International Conference on Data Mining (SDM04), April 22-24 2004, Florida, USA, (eds.) Michael W. Berry, Umeshwar Dayal, Chandrika Kamath and David Skillicorn, pp.462-466. code
A Kaban and X Wang. Context-Based Identification of User Communities from Internet Chat, Proc. IEEE International Joint Conference on Neural Networks (IJCNN04), special session On Machine Learning for Text Mining (invited paper). July, Budapest, Hungary, pp 3287--3292.

M Girolami and A Kaban. On an equivalence between PLSI and LDA, 26-th Annual International ACM Conference on Research and Development in Information Retrieval (SIGIR03), July 28-August 1, 2003, Toronto, Canada, pp 433-434.
Kaban, A, Tino, P. and Girolami, M. A General Framework for a Principled Hierarchical Visualisation of Multivariate Data, the Third International Conference on Intelligent Data Engineering and Automated Learning (IDEAL02), pp. 17-23, Lecture Notes in Computer Science, Springer-Verlag, 2002.

Bingham, E, Kaban, A. and Girolami, M. Finding topics in dynamical text: application to chat line discussions. WWW10, May 1--5, 2001, Hong Kong, Poster Proceedings pp. 198--199.

Kaban, A. and Girolami, M. Initialised and Guided EM-Clustering of Sparse Binary Data with Applications to Text Based Documents. Proc. of the 15'th International Conference on Pattern Recognition ICPR00. Barcelona, Spain, September, 2000, IEEE Computer Press, vol.2, pp. 748--751.
Kaban, A and Girolami, M. Clustering of Text Documents by Skewness Maximisation. Proc. of the 2'nd International Workshop on Independent Component Analysis and Blind Source Separation, ICA00, June 2000, Helsinki, pp. 435 ? 440.
Kaban, A. and Girolami, M. Initialised and Guided EM-Clustering of Binary Coded Text Based Documents Proc. EIS00, Paisley, July 2000.
Girolami, M, Vinokourov, A and Kaban, A. The Organisation and Visualisation of Document Corpora: A Probabilistic Approach. Invited paper. Proc. of the 11?th International Conference and Workshop on Database and Expert Systems Applications DEXA00.
Andras, P, Kaban, A, Bossanyi, R. Neural Network Approximation of Fuzzy Logic Operators. Annales Universitatis Occidentalis Timisiensis, Series Philosophia, Vol. XII, 2000, ISSN 1224-9688, pp. 147-152.

Abstracts and workshop contributions

A Kaban. Lq-regularised sparse classifiers: A PAC-Bayes analysis. Workshop on Sparsity in Machine learning and Statistics, Cumberland Lodge, 1-3 April, 2009. slides poster
D Peavoy and A Kaban. Bayesian Learning of Genetic Network Structure in the Space of Differential Equation Models. BioSysBio Conference, Cambridge, 23 - 25 March, 2009. slides
A Kaban and R.J Durrant. A norm-concentration argument for non-convex regularization. ICML/UAI/COLT Workshop on Sparse Optimization and Variable Selection, 9July, 2008, Helsinki, Finland. slides

A Kaban, L Nolan and S Raychaudhury. Factorisation of Positive Valued Functions for Analysing Galaxy Spectra. ICA Research Network Workshop (ICArn06), September, Liverpool. slides

Other presentation slides