Ata Kabán

Ata Kaban

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34EEAta Kabán: A Probabilistic Neighbourhood Translation Approach for Non-standard Text Categorisation. Discovery Science 2008: 332-343
33EEAta Kabán, Robert J. Durrant: Learning with Lq<1 vs L1-Norm Regularisation with Exponentially Many Irrelevant Features. ECML/PKDD (1) 2008: 580-596
32EEXin Wang, Ata Kabán: A dynamic bibliometric model for identifying online communities. Data Min. Knowl. Discov. 16(1): 67-107 (2008)
31EEAta Kabán, Ella Bingham: Factorisation and denoising of 0-1 data: A variational approach. Neurocomputing 71(10-12): 2291-2308 (2008)
30EEJianyong Sun, Ata Kabán, Somak Raychaudhury: Robust mixtures in the presence of measurement errors. ICML 2007: 847-854
29EEJianyong Sun, Ata Kabán, Somak Raychaudhury: Robust Visual Mining of Data with Error Information. PKDD 2007: 573-580
28EEAta Kabán: Predictive Modelling of Heterogeneous Sequence Collections by Topographic Ordering of Histories. Machine Learning 68(1): 63-95 (2007)
27EEAta Kabán: On Bayesian classification with Laplace priors. Pattern Recognition Letters 28(10): 1271-1282 (2007)
26EEMarkus Harva, Ata Kabán: Variational learning for rectified factor analysis. Signal Processing 87(3): 509-527 (2007)
25EEAta Kabán, Jianyong Sun, Somak Raychaudhury, Louisa Nolan: On Class Visualisation for High Dimensional Data: Exploring Scientific Data Sets. Discovery Science 2006: 125-136
24EEXin Wang, Ata Kabán: Model-Based Estimation of Word Saliency in Text. Discovery Science 2006: 279-290
23EEAta Kabán, Xin Wang: Deconvolutive Clustering of Markov States. ECML 2006: 246-257
22EEAta Kabán, Ella Bingham: ICA-Based Binary Feature Construction. ICA 2006: 140-148
21EEXin Wang, Ata Kabán: State Aggregation in Higher Order Markov Chains for Finding Online Communities. IDEAL 2006: 1023-1030
20EEXin Wang, Ata Kabán: Finding Uninformative Features in Binary Data. IDEAL 2005: 40-47
19EEAta Kabán: A Scalable Generative Topographic Mapping for Sparse Data Sequences. ITCC (1) 2005: 51-56
18 Ata Kabán, Louisa Nolan, Somak Raychaudhury: Finding Young Stellar Populations in Elliptical Galaxies from Independent Components of Optical Spectra. SDM 2005
17EEMark Girolami, Ata Kabán: Sequential Activity Profiling: Latent Dirichlet Allocation of Markov Chains. Data Min. Knowl. Discov. 10(3): 175-196 (2005)
16EEIan T. Nabney, Yi Sun, Peter Tiño, Ata Kabán: Semisupervised Learning of Hierarchical Latent Trait Models for Data Visualization. IEEE Trans. Knowl. Data Eng. 17(3): 384-400 (2005)
15 Xin Yao, Edmund K. Burke, José Antonio Lozano, Jim Smith, Juan J. Merelo Guervós, John A. Bullinaria, Jonathan E. Rowe, Peter Tiño, Ata Kabán, Hans-Paul Schwefel: Parallel Problem Solving from Nature - PPSN VIII, 8th International Conference, Birmingham, UK, September 18-22, 2004, Proceedings Springer 2004
14EEPeter Tiño, Ata Kabán, Yi Sun: A generative probabilistic approach to visualizing sets of symbolic sequences. KDD 2004: 701-706
13EEAta Kabán, Ella Bingham, T. Hirsimäki: Learning to Read Between the Lines: The Aspect Bernoulli Model. SDM 2004
12EEAlexander N. Dolia, Martin Lages, Ata Kabán: An Adaptive Novelty Detection Approach to Low Level Analysis of Images Corrupted by Mixed Noise. KES 2003: 570-577
11EEMark Girolami, Ata Kabán: Simplicial Mixtures of Markov Chains: Distributed Modelling of Dynamic User Profiles. NIPS 2003
10EEMark Girolami, Ata Kabán: On an equivalence between PLSI and LDA. SIGIR 2003: 433-434
9 Ella Bingham, Ata Kabán, Mark Girolami: Topic Identification in Dynamical Text by Complexity Pursuit. Neural Processing Letters 17(1): 69-83 (2003)
8EEAta Kabán, Peter Tiño, Mark Girolami: A General Framework for a Principled Hierarchical Visualization of Multivariate Data. IDEAL 2002: 518-523
7 Ata Kabán, Mark Girolami: A Dynamic Probabilistic Model to Visualise Topic Evolution in Text Streams. J. Intell. Inf. Syst. 18(2-3): 107-125 (2002)
6 Ata Kabán, Mark Girolami: Fast Extraction of Semantic Features from a Latent Semantic Indexed Text Corpus. Neural Processing Letters 15(1): 31-43 (2002)
5EEElla Bingham, Ata Kabán, Mark Girolami: Finding Topics in Dynamical Text: Application to Chat Line Discussions. WWW Posters 2001
4EEAta Kabán, Mark Girolami: A Combined Latent Class and Trait Model for the Analysis and Visualization of Discrete Data. IEEE Trans. Pattern Anal. Mach. Intell. 23(8): 859-872 (2001)
3EEAndrás Lörincz, Botond Szatmáry, Ata Kabán: Sign-changing filters similar to cells in primary visual cortex emerge by independent component analysis of temporally convolved natural image sequences. Neurocomputing 38-40: 1437-1442 (2001)
2EEMark Girolami, Alexei Vinokourov, Ata Kabán: The Organization and Visualization of Document Corpora: A Probabilistic Approach. DEXA Workshop 2000: 558-564
1EEAta Kabán, Mark Girolami: Initialized and Guided EM-Clustering of Sparse Binary Data with Application to Text Based Documents. ICPR 2000: 2744-2747

Coauthor Index

1Ella Bingham [5] [9] [13] [22] [31]
2John A. Bullinaria [15]
3Edmund K. Burke [15]
4Alexander N. Dolia [12]
5Robert J. Durrant [33]
6Mark A. Girolami (Mark Girolami) [1] [2] [4] [5] [6] [7] [8] [9] [10] [11] [17]
7Juan Julián Merelo Guervós (Juan J. Merelo Guervós) [15]
8Markus Harva [26]
9T. Hirsimäki [13]
10Martin Lages [12]
11András Lörincz [3]
12José Antonio Lozano (Jose Antonio Lozano) [15]
13Ian T. Nabney [16]
14Louisa Nolan [18] [25]
15Somak Raychaudhury [18] [25] [29] [30]
16Jonathan E. Rowe [15]
17Hans-Paul Schwefel [15]
18Jim Smith [15]
19Jianyong Sun [25] [29] [30]
20Yi Sun [14] [16]
21Botond Szatmáry [3]
22Peter Tiño (Peter Tino) [8] [14] [15] [16]
23Alexei Vinokourov [2]
24Xin Wang [20] [21] [23] [24] [32]
25Xin Yao [15]

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Copyright © Sun May 17 03:24:02 2009 by Michael Ley (ley@uni-trier.de)