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1. Adaptive combination of adaptive classifiers for handwritten character recognition
2. Compact Modeling of Data Using Independent Variable Group Analysis
3. Morph-based speech recognition and modeling of out-of-vocabulary words across languages
4. Unsupervised models for morpheme segmentation and morphology learning
5. Assessing Data Mining Results via Swap Randomization
6. Clustering Aggregation (long version)
7. Microarray image segmentation using additional dye - An experimental study
8. Discovering isochores by least-squares optimal segmentation
9. Comparing segmentations by applying randomization techniques
10. A variational EM approach to predictive uncertainty
11. Variational learning for rectified factor analysis
12. Biogeography of European land mammals shows environmentally distinct and spatially coherent clusters
13. How to Handle Small Samples: Bootstrap and Bayesian Methods in the Analysis of Linguistic Change
14. Blind Separation of Nonlinear Mixtures by Variational Bayesian Learning
15. Extending ICA for Finding Jointly Dependent Components from Two Related Data Sets
16. Probabilistic modeling and machine learning in structural and systems biology
17. Predictive value of histopathologic parameters in early squamous cell carcinoma of oral tongue
18. Measuring Concept Similarities in Multimedia Ontologies: Analysis and Evaluations
19. Constrained hidden Markov models for population-based haplotyping
20. Time series prediction competition: The CATS benchmark
21. Photosynthesis drives anomalies in net carbon-exchange of pine forests at different latitudes
22. Detecting man-made structures and changes in satellite imagery with a content-based information retrieval system built on self-organizing maps
23. Gene expression profiles in asbestos-exposed epithelial and mesothelial lung cell lines
24. Methods for estimating human endogenous retrovirus activities from EST databases
25. Building Blocks for Variational Bayesian Learning of Latent Variable Models
26. On Growing and Pruning Kneser–Ney Smoothed N-Gram Models
27. Input selection and shrinkage in multiresponse linear regression
28. Methodology for Long-term Prediction of Time Series
29. Modeling the effects of varying data quality on trend detection in environmental monitoring
30. Distances between data sets based on summary statistics
31. Comparison of visualization methods for an atlas of gene expression data sets
32. Evaluating the performance in automatic image annotation: Example case by adaptive fusion of global image features
33. Gene expression and copy number profiling suggests the importance of allelic imbalance in 19p in asbestos-associated lung cancer
34. Multiplicative Updates for Non-negative Projections
35. Projective non-negative matrix factorization with applications to facial image processing
36. Using Diversity of Errors for Selecting Members of a Committee Classifier
37. Vulnerability of DM watermarking of non-iid host signals to attacks utilising the statistics of independent components
38. Correlation of Symptom Clusters of Schizophrenia with Absolute Powers of Main Frequency Bands in Quantitative EEG
39. Unlimited Vocabulary Speech Recognition with Morph Language Models Applied to Finnish
40. Exploratory Analysis of Climate Data Using Source Separation Methods
41. Ydintehtävät kunniaan
42. Logical Hidden Markov Models
43. Self-Organizing Neural Projections
44. Efficient variant of algorithm FastICA for independent component analysis attaining the Cramér-Rao lower bound
45. Level a In Vitro-In Vivo Correlation (IVIVC) Model with Bayesian Approach to Formulation Series
46. Dynamic Pricing Based on Asymmetric Multiagent Reinforcement Learning
47. Asbestos-associated malignancies in the lung and pleura show distinct genetic aberrations
48. DNA copy number amplification profiling of human neoplasms
49. A data-driven Bayesian approach for finding young stellar populations in early-type galaxies from their UV-optical spectra
50. Identification of specific gene copy number changes in asbestos-related lung cancer
51. The FAstICA algorithm revisited - convergence analysis
52. The Evolving Tree - Analysis and Applications
53. Seriation in Paleontological Data Using Markov Chain Monte Carlo Methods
54. Jammer suppression in DS-CDMA arrays using independent component analysis
55. Mutual information for the selection of relevant variables in spectrometric nonlinear modelling
56. Subpopulation difference scanning: a strategy for exclusion mapping of susceptibility genes
57. Self-organizing map visualizing conditional quantile functions with multidimensional covariates
58. Applying decision analysis method in accident management process control problem
59. Parametric Representations of Bird Sounds for Automatic Species Recognition
60. Sparse Regression for Analyzing the Development of Foliar Nutrient Concentrations in Coniferous Trees
61. Computational complexity of queries based on itemsets
62. Safe projections of binary data sets
63. Performance Analysis of the FastICA for Algorithm and Cramér-Rao Bounds for Linear Independent Component Analysis
64. Local Multidimensional Scaling
65. Integrating Probe-Level Expression Changes Across Generations of Affymetrix Arrays
66. Independent Component Analysis of fMRI Group Studies by Self-Organizing Clustering
67. SpeechFind: Advances in Spoken Document Retrieval for a National Gallery of the Spoken Word
68. Von Foerster Meets Kohonen - Approaches to Artificial Intelligence, Cognitive Science and Information Systems Development
69. A Look at Aerosol Formation using Data Mining Techniques
70. On the Effect of the Form of the Posterior Approximation in Variational Learning of ICA Models
71. Nonstationary Nature of the Brain Activity as Revealed by EEG/MEG: Methodological, Practical and Conceptual Challenges
72. Associative Clustering for Exploring Dependencies between Functional Genomics Data Sets
73. Discriminative Clustering
74. L1CAM, INP10, P-cadherin, tPA and ITGB4 Over-Expression in Malignant Pleural Mesotheliomas Revealed by Combined Use of cDNA and Tissue Microarray
75. Gradient Descent for Symmetric and Asymmetric Multiagent Reinforcement Learning
76. Advanced Analysis Methods for 3G Cellular Networks
77. Nonlinear Time Series Prediction by Weighted Vector Quantization
78. Fast Bootstrap Methodology for Model Selection
79. Are N and S Deposition Altering the Chemical Composition of Norway Spruce and Scots Pine Needles in Finland?
80. Explorative Modeling of Yeast Stress Response and its Regulation with gCCA and Associative Clustering
81. Self-Organizing Map-Based Discovery and Visualization of Human Endogeneous Retroviral Sequence Groups
82. Discriminative Components of Data
83. Using Markov Chain Monte Carlo and Dynamic Programming for Event Sequence Data
84. Upper Bound for the Approximation Ratio of a Class of Hypercube Segmentation Algorithms
85. Self-Organizing Map Learning Nonlinearly Embedded Manifolds
86. Visual Approach to Supervised Variable Selection by Self-Organizing Map
87. Time Series Forecasting: Obtaining Long Term Trends with Self-Organizing Maps
88. SOM Based Decision Support in Failure Management
89. Denoising Source Separation
90. Validating the Independent Components of Neuroimaging Time-Series via Clustering and Visualization
91. Variational Learning and Bits-Back Coding: An Information-Theoretic View to Bayesian Learning
92. Content-Based Retrieval of Surface Defect Images with PicSOM
93. Nonlinear Dynamical Factor Analysis for State Change Detection
94. Advances in Blind Source Separation (BSS) and Independent Component Analysis (ICA) for Nonlinear Mixtures
95. Visualization of a Pharmaceutical Unit Operation: Wet Granulation
96. Principle of Learning Metrics for Data Analysis
97. Differentially Expressed Genes in Non-Small Cell Lung Cancer (NSCLC).Expression Profiling of Cancer-Related Genes in Squamous Cell Lung Cancer
98. Asymmetric Multiagent Reinforcement Learning
99. Wrist Actigraphy in Estimation of Sleep and Wake in Intellectually Disabled Subjects with Motor Handicaps
100. Class Distributions on SOM Surfaces for Feature Extraction and Object Retrieval
101. Mining Massive Document Collections by the WEBSOM Method
102. Evaluation of Linguistic Features for Word Sense Disambiguation with Self-Organized Document Maps
103. Evaluation of Forest Nutrition Based on Large-Scale Foliar Surveys: Are Nutrition Profiles the Way of the Future?
104. Blind Source Separation Techniques for Decomposing Event Related Brain Signals
105. Independent Component Analysis and Beyond
106. Blind Separation of Positive Sources by Globally Convergent Gradient Search
107. The Evolving Tree - a Novel Self-Organizing Network for Data Analysis
108. Improved Learning of Riemannian Metrics for Exploratory Data Analysis
109. A "Non-negative PCA" Algorithm for Independent Component Analysis
110. Guest Editorial - Special issue on information theoretic learning
111. Double Quantization of the Regressor Space for Long-Term Time Series Prediction: Method and Proof of Stability
112. Decision Concepts
113. Online Algorithm for the Self-Organizing Map of Symbol Strings
114. Hierarchical Models of Variance Sources
115. Caveolins as Tumor Markers in Lung Cancer Detected by Combined Use of cDNA and Tissue Microarrays
116. Methods for Adaptive Combination of Classifiers with Application to Recognition of Handwritten Characters
117. Serum Cortisol Levels in Goats Exhibit Seasonal but not Daily Rhythmicity
118. Topic Identification in Dynamical Text by Complexity Pursuit
119. Independent Component Analysis for Artefact Separation in Astrophysical Images
120. Decreased Production of Reactive Oxygen Species by Blood Monocytes Caused by Clozapine Correlates with EEG Slowing in Schizophrenic Patients
121. Discovering All Most Specific Sentences
122. Accelerating Cyclic Update Algorithms for Parameter Estimation by Pattern Searches
123. Kielen sävyt ja tulkinnan moniulotteisuus
124. Modeling Receptive Felds with Non-Negative Sparse Coding
125. Simple-Cell-Like Receptive Fields Maximize Temporal Coherence in Natural Video
126. Temporal and Spatiotemporal Coherence in Simple-Cell Responses: A Generative Model of Natural Image Sequences
127. Connection Between Multilayer Perceptrons and Regression Using Independent Component Analysis
128. Bubbles: A Unifying Framework for Low-Level Statistical Properties of Natural Image Sequences
129. Trustworthiness and Metrics in Visualizing Similarity of Gene Expression
130. Independent Component Analysis of Nondeterministic fMRI Signal Sources
131. Self-Organized Maps of Sensory Events
132. Introduction to Special Issue on Independent Component Analysis
133. Automatic Blink Detection: A Method for Differentiation of Wake and Sleep of Intellectually Disabled and Healthy Subjects in Long-Term Ambulatory Monitoring
134. Shared Means and Meaning in Vocal Expression of Man and Macaque
135. Bibliography of Self-Organizing Map SOM) Papers: 1998-2001 Addendum
136. Beyond Independence: Probabilistic Methods for Query Approximation on Binary Transaction Data
137. Counterintuitiveness as the Hallmark of Religiosity
138. Conceptual Decision Model
139. Speech Dimensionality Analysis on Hypercubical Self-Organizing Maps
140. Nonlinear Blind Source Separation by Variational Bayesian Learning
141. Blind Signal Separation and Independent Component Analysis
142. Statistical Shape Features for Content-Based Image Retrieval
143. State Management for Process Monitoring, Diagnostics and Optimization
144. Latent Variable Models for the Topographic Organisation of Discrete and Strictly Positive Data
145. Mercer Kernel-Based Clustering in Feature Space
146. Orthogonal Series Density Estimation and the Kernel Eigenvalue Problem
147. Emerging Scientific Applications in Data Mining
148. A Multi-Layer Sparse Coding Network Learns Contour Coding from Natural Images
149. Sparse Coding of Natural Contours
150. An Alternative Approach to Infomax and Independent Component Analysis
151. Topography as a Property of the Natural Sensory World
152. Estimating Overcomplete Independent Component Bases from Image Windows
153. Imposing Sparsity on the Mixing Matrix in Independent Component Analysis
154. Fast Extraction of Semantic Features from a Latent Semantic Indexed Text Corpus
155. Modeling of Automatic Capture and Focusing of Visual Attention
156. How to Make Large Self-Organizing Maps for Nonvectorial Data
157. Thematic Indexing of Spoken Documents by Using Self-Organizing Maps
158. PicSOM - Self-Organizing Image Retrieval with MPEG-7 Content Descriptions
159. Text Retrieval Using Self-Organized Document Maps
160. Finding the Variables of Interest
161. Sleep Fragmentation in Mentally Retarded People Decreases with Increasing Daylength in Spring
162. Long-Range Control of Expression in Yeast
163. Expression of Myeloid-Specific Genes in Childhood Acute Lymphoblastic Leukemia -- a cDNA Array Study
164. Analysis and Visualization of Gene Expression Data Using Self-Organizing Maps
165. Unsupervised Learning in Neural Computation
166. Electronic Editor: Automatic Content-based Sequential Compilation of Newspaper Articles
167. Association Analysis for Quantitative Traits by Data Mining: QHPM
168. Genome Segmentation using Piecewise Constant Intensity Models and Reversible Jump MCMC
169. Mixture Density from Autonomous Experts
170. Clustering Based on Conditional Distributions in an Auxiliary Space
171. An Unsupervised Ensemble Learning Method for Nonlinear Dynamic State-Space Models
172. Influence of Erroneous Learning Samples on Adaptation in On-Line Handwriting Recognition
173. Identification of Differentially Expressed Genes in Pulmonary Adenocarcinoma by Using a cDNA Array
174. Investigatory and Analytical Approaches to Differential Gene Expression Profiling in Mantle Cell Lymphoma
175. Seasonal Variation in Endogeneous Serum Melatonin Profiles in Goats: A Difference Between Spring and Fall?
176. Self-Organization in the One-Dimensional SOM with a Decreasing Neighborhood
177. Self-Organized Criticality and the Self-Organizing Map
178. A Variational Method for Learning Sparse and Overcomplete Representations
179. Blind Source Separation by Nonstationarity of Variance: A Cumulant-Based Approach
180. Complexity Pursuit: Separating Interesting Components from Time-Series
181. Topographic Independent Component Analysis as a Model of V1 Organization and Receptive Fields
182. A Two-Layer Sparse Coding Model Learns Simple and Complex Cell Receptive Fields and Topography from Natural Images
183. Topographic Independent Component Analysis
184. Bankruptcy Analysis with Self-Organizing Maps in Learning Metrics
185. Perspectives on the Research of Artificial Neural Networks
186. Self-Organizing Maps of Massive Databases
187. Offspring Risk and Sibling Risk for Multilocus Traits
188. Adaptive Algorithm for Blind Separation from Noisy Time-Varying Mixtures
189. Self-Organising Maps as a Relevance Feedback Technique in Content-Based Image Retrieval
190. Neurological Impairments and Sleep-Wake Behavior among the Mentally Retarded
191. Texture Discrimination with Multidimensional Distributions of Signed Gray-Level Differences
192. Mining Associations Between Genetic Markers, Phenotypes and Covariates
193. Clustering Based on Conditional Distributions in an Auxiliary Space
194. Applying Bayesian Statistics to Organism-based Environmental Reconstruction
195. Experiments with Adaptation Strategies for a Prototype-Based Recognition System of Isolated Handwritten Characters
196. Analysis of Pulping Data Using the Self-Organing Map
197. A Fast Fixed-Point Algorithm for Independent Component Analysis of Complex Valued Signals
198. Independent Component Analysis Applied to Feature Extraction from Colour and Stereo Images
199. Emergence of Phase and Shift Invariant Features by Decomposition of Natural Images into Independent Feature Subspaces
200. Independent Component Analysis: Algorithms and Applications
201. A Defect Detection Scheme for Web Surface Inspection
202. Local Linear Independent Component Analysis Based on Clustering
203. Coloring that Reveals Cluster Structures in Multivariate Data
204. Self Organization of a Massive Document Collection
205. PicSOM - Content-Based Image Retrieval with Self-Organizing Maps
206. On-Line Determination of the Concentrator Feed Type at Outokumpu Hitura Mine
207. No Evidence for Extraocular Light Induced Phase Shifting of Human Melatonin, Cortisol and Thyrotropin Rhythms
208. Bright Light Exposure of a Large Skin Area Does Not Affect Melatonin or Bilirubin Levels in Humans
209. Evidence for Central Alpha_2-Adrenergic Modulation of Rat Pineal Melatonin Synthesis
210. Visualization of Pharmaceutical Unit Operations Using Self-Organizing Maps (SOM)
211. Clustering of the Self-Organizing Map
212. Independence: A New Criterion for the Analysis of the Electromagnetic Fields in the Global Brain?
213. Independent Component Approach to the Analysis of EEG and MEG Recordings
214. Process Monitoring and Modeling Using the Self-Organizing Map
215. Neural Networks for Blind Separation with Unknown Number of Sources
216. An Experimental Comparison of Neural Algorithms for Independent Component Analysis and Blind Separation
217. Fast and Robust Fixed-Point Algorithms for Independent Component Analysis
218. Gaussian Moments for Noisy Independent Component Analysis
219. Sparse Code Shrinkage: Denoising of Nongaussian Data by Maximum Likelihood Estimation
220. Survey on Independent Component Analysis
221. The Fixed-Point Algorithm and Maximum Likelihood Estimation for Independent Component Analysis
222. Nonlinear Independent Component Analysis: Existence and Uniqueness Results
223. Characterization of Diffraction Gratings in a Rigorous Domain with Optical Scatterometry: Hierarchical Neural-Network Model
224. Top Research in Learning and Adaptive Information Processing Systems
225. Comparison of SOM Point Densities Based on Different Criteria
226. Fast Evolutionary Learning with Batch-Type Self-Organizing Map
227. Informaation käsittely ja sen rajat
228. Where the Abstract Feature Maps of the Brain Might Come from
229. Decision Modelling for Maintenance and Safety
230. WEBSOM for Textual Data Mining
231. Image Feature Extraction and Denoising by Sparse Coding
232. Redundant Hash Addressing of Feature Sequences Using the Self-Organizing Map
233. Self-Organizing Maps and Learning Vector Quantization for Feature Sequences
234. SOM-Based Data Visualization Methods
235. Self-Organizing Map for Data Mining in MATLAB: The SOM Toolbox
236. Sufficient Conditions for Self-Organisation in the One-Dimensional SOM with a Reduced Width Neighbourhood
237. Independent Component Analysis in the Presence of Gaussian Noise by Maximizing Joint Likelihood
238. Independent Component Analysis by General Nonlinear Hebbian-Like Learning Rules
239. Optical Scatterometry of Subwavelength Diffraction Gratings: Neural Networks Approach
240. Book Review.Principal Component Neural Networks - Theory and Applications by K.I.Diamantaras and S.Y.Kung (New York, John Wiley 1996)
241. The Nonlinear PCA Criterion in Blind Source Separation: Relations with Other Approaches
242. WEBSOM - Self-Organizing Maps of Document Collections
243. Bibliography of Self-Organizing Map (SOM) Papers: 1981-1997
244. Predicting Bankruptcies with the Self-Organizing Map
245. The Self-Organizing Map
246. Visual Feature Analysis by the Self-Organising Maps
247. Self-Organizing Maps of Symbol Strings
248. Learning Subspace Classifiers and Error-Corrective Feature Extraction
249. From Neural Learning to Independent Components
250. Blind Source Separation Using Algorithmic Information Theory
251. Least-Squares Methods for Blind Source Separation Based on Nonlinear PCA
252. The Self-Organizing Map of Trees
253. Neural Detection of QAM Signal with Strongly Nonlinear Receiver
254. Reduced Multidimensional Co-Occurrence Histograms in Texture Classification
255. Texture Classification with Single- and Multiresolution Co-Occurrence Maps
256. Neural and Statistical Classifiers - Taxonomy and Two Case Studies
257. A Fast Fixed-Point Algorithm for Independent Component Analysis
258. On Neural Blind Separation with Noise Suppression and Redundancy Reduction
259. A Class of Neural Networks for Independent Component Analysis
260. Computationally Efficient Approximation of a Probabilistic Model for Document Representation in the WEBSOM Full-Text Analysis Method
261. Self-Organized Formation of Various Invariant-Feature Filters in the Adaptive-Subspace SOM
262. Training Mixture Density HMMs with SOM and LVQ
263. Categorization of Voice Disorders with Six Perceptual Dimensions
264. Expression of Emotional-Motivational Connotations with a One-Word Utterance
265. Voice Reactions to Histamine Inhalation in Asthma
266. The Nonlinear PCA Learning Rule in Independent Component Analysis
267. Least-Squares Methods for Blind Source Separation Based on Nonlinear PCA
268. Computational Intelligence in Cloud Classification
269. Topographic Components Model with Adaptive Latencies
270. Extraction of Ocular Artefacts from EEG Using Indpendent Component Analysis
271. Evolution and Evaluation of a Trainable Cloud Classifier
272. Cul-de-sac Hypernasality Test with Pattern Recognition of LPC Indices
273. Self-Organizing Maps of Document Collections
274. Simple Neuron Models for Independent Component Analysis
275. Developments and Applications of the Self-Organizing Map and Related Algorithms
276. Avaako neurolaskenta oven virtuaalimaailmaan?
277. Emergence of Invariant-Feature Detectors in the Adaptive-Subspace Self-Organizing Map
278. Engineering Applications of the Self-Organizing Map
279. Houghtool - A Software Package for the Use of the Hough Transform
280. Visual Imaging of Voice Quality with the Self-Organizing Map
281. Co-Occurrence Map: Quantizing Multidimensional Texture Histograms
282. Neural Fitting: Robustness by Anti-Hebbian Learning
283. Robust Fitting by Nonlinear Neural Units
284. Optimal Resource Allocation for Novelty Detection in a Human Auditory Memory
285. A Unified Neural Bigradient Algorithm for Robust PCA and MCA
286. A Nonlinear Extension of the Generalized Hebbian Learning
287. Self-Organizing Map in Recognition of Topographic Patterns of EEG Spectra
288. Generalizations of Principal Component Analysis, Optimization Problems, and Neural Networks
289. Probabilistic and Non-Probabilistic Hough Transforms: Overview and Comparisons
290. Distortion Tolerant Pattern Recognition Based on Self-Organizing Feature Extraction
291. A Unified Neural Bigradient Algorithm for Robust PCA and MCA
292. Stability of Oja's Subspace Rule
293. Representation and Separation of Signals Using Nonlinear PCA Type Learning
294. Winner-Take-All Networks for Physiological Models of Competitive Learning
295. Recognition of Emotions in Macaque Vocalizations by Children and Adults
296. Spectral Pattern Recognition of Improved Voice Quality
297. Physiological Interpretation of the Self-Organizing Map Algorithm
298. Aivot ja tietokoneet
299. Self-Organized Acoustic Feature Map in Detection of Fricative-Vowel Coarticulation
300. Acoustic Pattern Recognition of Fricative-Vowel Coarticulation by the Self-Organizing Map
301. Acoustic Pattern Recognition of /s/ Misarticulation by the Self-Organizing Map