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La ricerca find articoli where soggetti phrase all words 'unsupervised learning' sort by level,fasc_key/DESCEND, pagina_ini_num/ASCEND ha restituito 188 riferimenti
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    1. Pedrycz, W
      Granular computing in fuzzy modeling and data mining

      COMPUTATIONAL INTELLIGENCE IN THEORY AND PRACTICE
    2. Girolami, M
      The topographic organization and visualization of binary data using multivariate-bernoulli latent variable models

      IEEE TRANSACTIONS ON NEURAL NETWORKS
    3. Park, DC; Woo, YJ
      Weighted centroid neural network for edge preserving image compression

      IEEE TRANSACTIONS ON NEURAL NETWORKS
    4. Vlajic, N; Card, HC
      Vector quantization of images using modified adaptive resonance algorithm for hierarchical clustering

      IEEE TRANSACTIONS ON NEURAL NETWORKS
    5. Wu, JM; Chiu, SJ
      Independent component analysis using pots models

      IEEE TRANSACTIONS ON NEURAL NETWORKS
    6. Ridella, S; Rovetta, S; Zunino, R
      K-winner machines for pattern classification

      IEEE TRANSACTIONS ON NEURAL NETWORKS
    7. Yin, HJ; Allinson, NM
      Self-organizing mixture networks for probability density estimation

      IEEE TRANSACTIONS ON NEURAL NETWORKS
    8. Tan, Y; Wang, J; Zurada, JM
      Nonlinear blind source separation using a radial basis function network

      IEEE TRANSACTIONS ON NEURAL NETWORKS
    9. Anastasio, RJ
      Input minimization: a model of cerebellar learning without climbing fiber error signals

      NEUROREPORT
    10. Fletcher, P
      Connectionist learning of regular graph grammars

      CONNECTION SCIENCE
    11. Halkidi, M; Batistakis, Y; Vazirgiannis, M
      On clustering validation techniques

      JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
    12. Lingras, P
      Unsupervised rough set classification using GAs

      JOURNAL OF INTELLIGENT INFORMATION SYSTEMS
    13. Beatty, J
      The neuronal empiricism hypothesis: Cerebral cortex is an unsupervised knowledge-seeking neural network

      NEUROCOMPUTING
    14. Lago-Fernandez, LF; Sanchez-Montanes, MA; Corbacho, F
      A biologically inspired visual system for an autonomous robot

      NEUROCOMPUTING
    15. Su, MC; Liu, TK
      Application of neural networks using quadratic junctions in cluster analysis

      NEUROCOMPUTING
    16. Patane, G; Russo, M
      The enhanced LBG algorithm

      NEURAL NETWORKS
    17. Unneberg, P; Merelo, JJ; Chacon, P; Moran, F
      SOMCD: Method for evaluating protein secondary structure from UV circular dichroism spectra

      PROTEINS-STRUCTURE FUNCTION AND GENETICS
    18. Kazakov, D; Manandhar, S
      Unsupervised learning of word segmentation rules with genetic algorithms and inductive logic programming

      MACHINE LEARNING
    19. Japkowicz, N
      Supervised versus unsupervised binary-learning by feedforward neural networks

      MACHINE LEARNING
    20. Hofmann, T
      Unsupervised learning by probabilistic latent semantic analysis

      MACHINE LEARNING
    21. Curry, B; Davies, F; Phillips, P; Evans, M; Moutinho, L
      The Kohonen self-organizing map: an application to the study of strategic groups in the UK hotel industry

      EXPERT SYSTEMS
    22. Baraldi, A; Binaghi, E; Blonda, P; Brivio, PA; Rampini, A
      Comparison of the multilayer perceptron with neuro-fuzzy techniques in theestimation of cover class mixture in remotely sensed data

      IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING
    23. Rhouma, MBH; Frigui, H
      Self-organization of pulse-coupled oscillators with application to clustering

      IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
    24. Wang, XZ; Yoshizawa, M; Tanaka, A; Abe, K; Yambe, T; Nitta, S
      Automatic detection and classification of abnormalities for artificial hearts using a hierarchical self-organizing map

      ARTIFICIAL ORGANS
    25. Endres, TJ; Hulyalkar, SN; Strolle, CH; Schaffer, TA
      Low-complexity and low-latency implementation of the Godard/CMA update

      IEEE TRANSACTIONS ON COMMUNICATIONS
    26. Bode, M; Freyd, O; Fischer, J; Niedernostheide, FJ; Schulze, HJ
      Hybrid hardware for a highly parallel search in the context of learning classifiers

      ARTIFICIAL INTELLIGENCE
    27. Yao, YH; Chen, LH; Chen, YQ
      Using cluster skeleton as prototype for data labeling

      IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
    28. Alahakoon, D; Halgamuge, SK; Srinivasan, B
      Dynamic self-organizing maps with controlled growth for knowledge discovery

      IEEE TRANSACTIONS ON NEURAL NETWORKS
    29. Su, MC; Chang, HT
      Fast self-organizing feature map algorithm

      IEEE TRANSACTIONS ON NEURAL NETWORKS
    30. Park, DC
      Centroid neural network for unsupervised competitive learning

      IEEE TRANSACTIONS ON NEURAL NETWORKS
    31. Chakraborty, G; Chakraborty, B
      A novel normalization technique for unsupervised learning in ANN

      IEEE TRANSACTIONS ON NEURAL NETWORKS
    32. Ward, K; Zelinsky, A
      Acquiring mobile robot behaviors by learning trajectory velocities

      AUTONOMOUS ROBOTS
    33. Gorchetchnikov, A
      Introduction of threshold self-adjustment improves the convergence in feature-detective neural nets

      NEUROCOMPUTING
    34. Mercado, E; Myers, CE; Gluck, MA
      Modeling auditory cortical processing as an adaptive chirplet transform

      NEUROCOMPUTING
    35. Suzuki, S; Ando, H
      A modular network scheme for unsupervised 3D object recognition

      NEUROCOMPUTING
    36. Mollineda, RA; Vidal, E
      A relative approach to hierarchical clustering

      PATTERN RECOGNITION AND APPLICATIONS
    37. Garcia-Martinez, R; Borrajo, D
      An integrated approach of learning, planning, and execution

      JOURNAL OF INTELLIGENT & ROBOTIC SYSTEMS
    38. Imai, H; Inaba, M
      Divergence-based geometric clustering and its underlying discrete proximity structures

      IEICE TRANSACTIONS ON INFORMATION AND SYSTEMS
    39. Vigario, R; Oja, E
      Independence: a new criterion for the analysis of the electromagnetic fields in the global brain?

      NEURAL NETWORKS
    40. Si, J; Lin, S; Vuong, MA
      Dynamic topology representing networks

      NEURAL NETWORKS
    41. Nigam, K; McCallum, AK; Thrun, S; Mitchell, T
      Text classification from labeled and unlabeled documents using EM

      MACHINE LEARNING
    42. Sison, RC; Numao, M; Shimura, M
      Multistrategy discovery and detection of novice programmer errors

      MACHINE LEARNING
    43. Chon, TS; Park, YS; Park, JH
      Determining temporal pattern of community dynamics by using unsupervised learning algorithms

      ECOLOGICAL MODELLING
    44. Timmis, J; Neal, M; Hunt, J
      An artificial immune system for data analysis

      BIOSYSTEMS
    45. Files, CM; Perkowski, MA
      New multivalued functional decomposition algorithms based on MDDs

      IEEE TRANSACTIONS ON COMPUTER-AIDED DESIGN OF INTEGRATED CIRCUITS AND SYSTEMS
    46. Bergasa, LM; Mazo, M; Gardel, A; Sotelo, MA; Boquete, L
      Unsupervised and adaptive Gaussian skin-color model

      IMAGE AND VISION COMPUTING
    47. Chang, JY; Chen, JL
      Applying fuzzy logic in the modified single-layer perceptron image segmentation network

      JOURNAL OF THE CHINESE INSTITUTE OF ENGINEERS
    48. Chien, JT; Junqua, JC
      Unsupervised hierarchical adaptation using reliable selection of cluster-dependent parameters

      SPEECH COMMUNICATION
    49. Kegl, B; Krzyzak, A; Linder, T; Zeger, K
      Learning and design of principal curves

      IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
    50. Baraldi, A; Blonda, P; Parmiggiani, F; Satalino, G
      Contextual clustering for image segmentation

      OPTICAL ENGINEERING
    51. Wong, HS; Caelli, T; Guan, L
      A model-based neural network for edge characterization

      PATTERN RECOGNITION
    52. Scherf, M; Klingenhoff, A; Werner, T
      Highly specific localization of promoter regions in large genomic sequences by PromoterInspector: A novel context analysis approach

      JOURNAL OF MOLECULAR BIOLOGY
    53. Vigario, R; Sarela, J; Jousmaki, V; Hamalainen, M; Oja, E
      Independent component approach to the analysis of EEG and MEG recordings

      IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
    54. Allen, J; Terman, CJ
      An interactive learning environment for VLSI design

      PROCEEDINGS OF THE IEEE
    55. Tafeit, E; Reibnegger, G
      Artificial neural networks in laboratory medicine and medical outcome prediction

      CLINICAL CHEMISTRY AND LABORATORY MEDICINE
    56. Chan, TYT
      Inductive pattern learning

      IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART A-SYSTEMS AND HUMANS
    57. Krishna, K; Murty, MN
      Genetic K-means algorithm

      IEEE TRANSACTIONS ON SYSTEMS MAN AND CYBERNETICS PART B-CYBERNETICS
    58. Denna, M; Mauri, G; Zanaboni, AM
      Learning fuzzy rules with tabu search - An application to control

      IEEE TRANSACTIONS ON FUZZY SYSTEMS
    59. Billard, A; Hayes, G
      DRAMA, a connectionist architecture for control and learning in autonomousrobots

      ADAPTIVE BEHAVIOR
    60. Abu-Rezq, AN; Tolba, AS
      Cooperative self-organizing maps for consistency checking and signature verification

      DIGITAL SIGNAL PROCESSING
    61. Bougrain, L; Alexandre, F
      Unsupervised connectionist algorithms for clustering an environmental dataset: A comparison

      NEUROCOMPUTING
    62. Wiskott, L
      Learning invariance manifolds

      NEUROCOMPUTING
    63. Cichocki, A; Karhunen, J; Kasprzak, W; Vigario, R
      Neural networks for blind separation with unknown number of sources

      NEUROCOMPUTING
    64. Otsuka, Y; Konishi, M; Hanaoka, K; Maki, T
      Forecasting heat levels in blast furnaces using a neural network model

      ISIJ INTERNATIONAL
    65. Doya, K
      What are the computations of the cerebellum, the basal ganglia and the cerebral cortex?

      NEURAL NETWORKS
    66. Ando, H; Suzuki, S; Fujita, T
      Unsupervised visual learning of three-dimensional objects using a modular network architecture

      NEURAL NETWORKS
    67. Georgiopoulos, M; Dagher, I; Heileman, GL; Bebis, G
      Properties of learning of a Fuzzy ART Variant

      NEURAL NETWORKS
    68. Adams, RG; Butchart, K; Davey, N
      Hierarchical classification with a competitive evolutionary neural tree

      NEURAL NETWORKS
    69. Luo, FL; Unbehauen, R
      Comments on: A unified algorithm for principal and minor components extraction

      NEURAL NETWORKS
    70. Aggarwal, RK; Xuan, QY; Dunn, RW; Johns, AT; Bennett, A
      A novel fault classification technique for double-circuit lines based on acombined unsupervised/supervised neural network

      IEEE TRANSACTIONS ON POWER DELIVERY
    71. Brent, MR
      An efficient, probabilistically sound algorithm for segmentation and word discovery

      MACHINE LEARNING
    72. Lin, CT; Chen, HC; Nunamaker, JF
      Verifying the proximity and size hypothesis for self-organizing maps

      JOURNAL OF MANAGEMENT INFORMATION SYSTEMS
    73. Chen, GY; Tsai, WH
      A new approach to vision-based unsupervised learning of unexplored indoor environment for autonomous land vehicle navigation

      ROBOTICS AND COMPUTER-INTEGRATED MANUFACTURING
    74. Jain, AK; Murty, MN; Flynn, PJ
      Data clustering: A review

      ACM COMPUTING SURVEYS
    75. Geva, AB
      Hierarchical-fuzzy clustering of temporal-patterns and its application fortime-series prediction

      PATTERN RECOGNITION LETTERS
    76. Macchi, O; Moreau, E
      Adaptive unsupervised separation of discrete sources

      SIGNAL PROCESSING
    77. Gomez-Skarmeta, AF; Delgado, M; Vila, MA
      About the use of fuzzy clustering techniques for fuzzy model identification

      FUZZY SETS AND SYSTEMS
    78. Wong, ML; Lam, W; Leung, KS
      Using evolutionary programming and minimum description length principle for data mining of Bayesian networks

      IEEE TRANSACTIONS ON PATTERN ANALYSIS AND MACHINE INTELLIGENCE
    79. Christodoulou, CI; Pattichis, CS
      Unsupervised pattern recognition for the classification of EMG signals

      IEEE TRANSACTIONS ON BIOMEDICAL ENGINEERING
    80. Kung, SY; Taur, J; Lin, SH
      Synergistic modeling and applications of hierarchical fuzzy neural networks

      PROCEEDINGS OF THE IEEE
    81. Hirota, K; Pedrycz, W
      Fuzzy computing for data mining

      PROCEEDINGS OF THE IEEE
    82. SRIVASTAVA L; SINGH SN; SHARMA J
      PARALLEL SELF-ORGANIZING HIERARCHICAL NEURAL-NETWORK-BASED FAST VOLTAGE ESTIMATION

      IEE proceedings. Generation, transmission and distribution
    83. SZIRANYI T; CSAPODI M
      TEXTURE CLASSIFICATION AND SEGMENTATION BY CELLULAR NEURAL NETWORKS USING GENETIC LEARNING

      Computer vision and image understanding (Print)
    84. MARTINEZ D
      TIME-ADAPTIVE VECTOR A D CONVERSION

      IEEE transactions on circuits and systems. 2, Analog and digital signal processing
    85. FENG DZ; BAO Z; JIAO LC
      TOTAL LEAST MEAN SQUARES ALGORITHM

      IEEE transactions on signal processing
    86. GIROLAMI M; CICHOCKI A; AMARI S
      A COMMON NEURAL-NETWORK MODEL FOR UNSUPERVISED EXPLORATORY DATA-ANALYSIS AND INDEPENDENT COMPONENT ANALYSIS

      IEEE transactions on neural networks
    87. ELTOFT T; DEFIGUEIREDO RJP
      A NEW NEURAL-NETWORK FOR CLUSTER-DETECTION-AND-LABELING

      IEEE transactions on neural networks
    88. DOTAN Y; INTRATOR N
      MULTIMODALITY EXPLORATION BY AN UNSUPERVISED PROJECTION PURSUIT NEURAL-NETWORK

      IEEE transactions on neural networks
    89. RUF B; SCHMITT M
      SELF-ORGANIZATION OF SPIKING NEURONS USING ACTION-POTENTIAL TIMING

      IEEE transactions on neural networks
    90. MARTINEZ D
      NEURAL TREE DENSITY-ESTIMATION FOR NOVELTY DETECTION

      IEEE transactions on neural networks
    91. CHEN CLP; CAO Y; LECLAIR SR
      MATERIALS STRUCTURE-PROPERTY PREDICTION USING A SELF-ARCHITECTING NEURAL-NETWORK

      Journal of alloys and compounds
    92. SHUKLA KK; DAS RR; DWIVEDI R
      ADAPTIVE RESONANCE NEURAL CLASSIFIER FOR IDENTIFICATION OF GASES ODOURS USING AN INTEGRATED SENSOR ARRAY/

      Sensors and actuators. B, Chemical
    93. Karhunen, J; Pajunen, P; Oja, E
      The nonlinear PCA criterion in blind source separation: Relations with other approaches

      NEUROCOMPUTING
    94. SISON R; NUMAO M; SHIMURA M
      DISCOVERING ERROR CLASSES FROM DISCREPANCIES IN NOVICE BEHAVIORS VIA MULTISTRATEGY CONCEPTUAL CLUSTERING

      User modeling and user-adapted interaction
    95. ALPAYDIN E
      SOFT VECTOR QUANTIZATION AND THE EM ALGORITHM

      Neural networks
    96. KAY J; FLOREANO D; PHILLIPS WA
      CONTEXTUALLY GUIDED UNSUPERVISED LEARNING USING LOCAL MULTIVARIATE BINARY PROCESSORS

      Neural networks
    97. ARRIGO P; FARISELLI P; CASADIO R
      CAN FUNCTIONAL REGIONS OF PROTEINS BE PREDICTED FROM THEIR CODING SEQUENCES - THE CASE-STUDY OF G-PROTEIN COUPLED RECEPTORS (REPRINTED FROMGENE, VOL 221, PG GC65-GC110, 1998)

      Gene
    98. Rylatt, M; Czarnecki, C; Routen, T
      Connectionist learning in behaviour-based mobile robots: A survey

      ARTIFICIAL INTELLIGENCE REVIEW
    99. Rogers, RO; Skillicorn, DB
      Using the BSP cost model to optimise parallel neural network training

      FUTURE GENERATION COMPUTER SYSTEMS
    100. DELGADO M; GOMEZSKARMETA AF
      A METHODOLOGY TO MODEL FUZZY-SYSTEMS USING FUZZY CLUSTERING IN A RAPID-PROTOTYPING APPROACH

      Fuzzy sets and systems


ASDD Area Sistemi Dipartimentali e Documentali, Università di Bologna, Catalogo delle riviste ed altri periodici
Documento generato il 26/10/20 alle ore 12:20:09