- A norm-concentration argument for non-convex regularisation
- Research Kitchen on Approximate Inference, Bath, 8-9 May Two Applications of Variational Inference
- Machine Learning manuscript No. (will be inserted by the editor)
- Stat Comput DOI 10.1007/s11222-011-9229-0
- Robust mixture clustering using Pearson type VII distribution q Jianyong Sun a,d,
- 1206 IEEE TRANSACTIONS ON NEURAL NETWORKS, VOL. 21, NO. 8, AUGUST 2010 A Fast Algorithm for Robust Mixtures in the
- Neurocomputing 71 (2008) 22912308 Factorisation and denoising of 01 data: A variational approach
- On Bayesian classification with Laplace priors School of Computer Science, The University of Birmingham, Birmingham B15 2TT, UK
- FLIP PROBABILITIES FOR RANDOM PROJECTIONS OF -SEPARATED VECTORS
- A probabilistic neighbourhood translation approach for non-standard text categorisation
- Deconvolutive Clustering of Markov States Ata Kaban and Xin Wang
- ICA-based Binary Feature Construction Ata Kaban1
- On class visualisation for high dimensional data: Exploring scientific data sets
- State Aggregation in Higher Order Markov Chains for Finding Online Communities
- A Scalable Generative Topographic Mapping for Sparse Data Sequences School of Computer Science
- A Scalable Generative Topographic mapping for sparse
- A Generative Probabilistic Approach to Visualizing Sets of Symbolic Sequences
- Learning to Read Between the Lines: The Aspect Bernoulli Model T. Hirsimaki
- On an Equivalence between PLSI and LDA Mark Girolami
- Lq-regularised sparse classifiers: A PAC-Bayes analysis Ata Kaban (A.Kaban@cs.bham.ac.uk)
- Lq-regularised sparse classifiers: A PAC-Bayes analysis
- Bayesian Learning of Genetic Network Structure in the Space of Differential Equation Models
- Factorization of Positive Valued for Analyzing Galaxy Spectra
- Mon. Not. R. Astron. Soc. 366, 321338 (2006) doi:10.1111/j.1365-2966.2005.09868.x A data-driven Bayesian approach for finding young stellar populations
- Multi-class Classification in the Presence of Labelling Errors
- A Statistical Test to Detect Distance Concentration from Data Sets
- When Is `Nearest Neighbor' Meaningful: A Converse Theorem and Implications
- 29978-1-4244-7876-7/10/$26.00 c 2010 IEEE 2010 IEEE International Workshop on Machine Learning for Signal Processing (MLSP 2010)
- Data Mining and Knowledge Discovery, 10, 175196, 2005 c 2005 Springer Science + Business Media, Inc. Manufactured in The Netherlands.
- ESTIMATION OF THE REGULARISATION PARAMETER IN HUBER-MRF FOR IMAGE RESOLUTION ENHANCEMENT
- ICA @ cs.bham http://www.cs.bham.ac.uk/~axk
- Robust Visual Mining of Data with Error Information
- A Combined Latent Class and Trait Model for the Analysis and
- THEORETICAL ADVANCES The aspect Bernoulli model: multiple causes of presences
- *Corresponding author. Tel.: #36-1-463-3515; fax: #36-1-463-3490. E-mail address: lorincz@inf.elte.hu (A.s LoK rincz).
- Finite Sample Effects in Compressed Fisher's LDA Robert J.Durrant Ata Kaban
- Simplicial Mixtures of Markov Chains: Distributed Modelling of Dynamic User Profiles
- Factorisation of Positive Valued Functions for Analysing Galaxy Spectra
- A norm-concentration argument for non-convex regularisation Ata Kaban & Robert J. Durrant A.Kaban@cs.bham.ac.uk
- Learning with Lq<1 vs L1-Norm Regularisation with Exponentially Many Irrelevant Features
- On the distance concentration awareness of certain data reduction techniques
- On Class Visualisation for High Dimensional Data: Exploring
- A Variational Bayesian Method for Rectified Factor Markus Harva
- A bound on the performance of LDA in randomly projected data spaces Robert J. Durrant and Ata Kaban
- Context Based Identification of User Communities from Internet Chat
- A tight bound on the performance of Fisher's linear discriminant in randomly projected data spaces
- Single-frame Image Recovery using a Pearson type VII MRF6 Ata Kaban1,
- Distance concentration and detection of meaningless distances
- SINGLE-FRAME SIGNAL RECOVERY USING A SIMILARITY-PRIOR BASED ON PEARSON TYPE VII MRF
