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sonas library [93 articles]

Nye artikler sendt til sonas bibliotek.
  • Preventing "Overfitting" of Cross-Validation Data
    (1997), pp. 245-253.
    by Andrew Y Ng
    posted to cross-validation by sona on 2008-08-22 12:16:25 as ***
  • Small Sample Statistics for Classification Error rates II: Confidence Intervals and Significance Tests
    (1996)
    by Kent J Martin, DS Hirschberg
    posted to bootstrapping confidence-intervals cross-validation error-estimation leave-one-out subsampling test-significance by sona on 2008-08-21 15:40:00 as ***
  • Small Sample Statistics for Classification Error rates I: Error Rate Measurement
    (1996)
    by Kent J Martin, DS Hirschberg
    posted to bootstrapping cross-validation error-estimation leave-one-out subsampling by sona on 2008-08-21 15:13:30 as ***
  • Stability of Randomized Learning Algorithms
    Journal of Machine Learning Research, Vol. 6 (January 2005), pp. 55-79.
    by Andre Elisseeff, Theodoros Evgeniou, Massimiliano Pontil
    posted to bagging bootstrapping randomized-algorithm sensitivity-analysis stability by sona on 2008-08-21 13:06:37 as *****
  • The random subspace method for constructing decision forests
    Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 20, No. 8. (1998), pp. 832-844.
    by Tin K Ho
    posted to decision-trees feature-selection mixture-of-experts random-subspace-method by sona on 2008-07-18 17:23:56 as **** along with 3 people and 1 group jxl drivard yaroslavvb EC
  • Bootstrap - Inspired Techniques in Computation Intelligence
    Signal Processing Magazine, IEEE, Vol. 24, No. 4. (2007), pp. 59-72.
    by R Polikar
    posted to adaboost bagging boosting data-fusion incremental-learning missing-feature mixture-of-experts by sona on 2008-07-18 13:51:20 as *****
  • Random subspace method for multivariate feature selection
    Pattern Recognition Letters, Vol. 27, No. 10. (15 July 2006), pp. 1067-1076.
    by Carmen Lai, Marcel J Reinders, Lodewyk Wessels
    posted to boosting feature-ranking feature-selection high-dimensions random-subspace-method small-sample-size-problem weighting-feature-selection by sona on 2008-07-18 13:43:26 as ****
  • Feature ranking methods based on information entropy with Parzen windows
    International Conference on Research in Electrotechnology and Applied Informatics (REI'05) (2005), pp. 109-119.
    by J Biesiada, W Duch, A Kachel, K Maczka, S Palucha
    posted to artificial-data feature-ranking real-data survey by sona on 2008-06-11 21:48:59 as ***
  • Ensemble Feature Ranking
    Knowledge Discovery in Databases: PKDD 2004 (2004), pp. 267-278.
    by Kees Jong, Jérémie Mary, Antoine Cornuéjols, Elena Marchiori, Michèle Sebag
    posted to ensemble-methods feature-ranking filter-feature-selection by sona on 2008-06-11 21:44:13 as ****
  • Semi-Supervised Learning Literature Survey
    Vol. Tech. Rep. No. 1530 (December 2007)
    by Xiaojin Zhu
    posted to semi-supervised survey by sona on 2008-05-14 15:22:59 as *****
  • On kernel methods for relational learning
    International Conference on Machine Learning (ICML) (2003), pp. 107-114.
    by Chad Cumby, Dan Roth
    posted to composite-kernel kernel-methods relational-learning svm by sona on 2008-04-28 13:40:14 as **** along with 1 person julianpan
  • A composite kernel to extract relations between entities with both flat and structured features
    International Conference on Computational Linguistics and the annual meeting of the ACL (2006), pp. 825-832.
    by Min Zhang, Jie Zhang, Jian Su, Guodong Zhou
    posted to composite-kernel kernel-methods structured-input supervised svm by sona on 2008-04-28 13:24:51 as **** along with 1 person julianpan
  • Bagging Predictors
    Machine Learning, Vol. 24, No. 2. (1996), pp. 123-140.
    by Leo Breiman
    posted to bagging survey by sona on 2008-04-09 19:02:00 as **** along with 4 people ngarera maheshj drivard gabe_rosser
  • Bagging neural network sensitivity analysis for feature reduction for in-silico drug design
    International Joint Conference on Neural Networks (IJCNN), Vol. 4 (2001), pp. 2478-2482 vol.4.
    by MJ Embrechts, F Arciniegas, M Ozdemir, CM Breneman, K Bennett, L Lockwood
    posted to embedded-feature-selection feature-selection neural-networks sensitivity-analysis by sona on 2008-04-09 18:02:12 as ***
  • Dimensionality reduction via sparse support vector machines
    Journal of Machine Learning Research, Vol. 3 (2003), pp. 1229-1243.
    by Jinbo Bi, Kristin Bennett, Mark Embrechts, Curt Breneman, Minghu Song
    posted to embedded-feature-selection feature-selection kernel-methods regularization sparse-learning svm by sona on 2008-04-09 17:36:34 as *** along with 2 people sdvillal KaraNagai
  • Selection of relevant features and examples in machine learning
    Artificial Intelligence, Vol. 97, No. 1. (December 1997), pp. 245-271.
    by AL Blum, P Langley
    posted to embedded-feature-selection feature-selection filter-feature-selection survey weighting-feature-selection wrapper-feature-selection by sona on 2008-04-09 17:22:18 as ***** along with 3 people yaroslavvb sdvillal srp33
  • Location estimation in wireless networks: a Bayesian approach
    Statistica Sinica, Vol. 16, No. 2. (2006), pp. 495-522.
    by David Madigan, Wen-Hua Ju, P Krishnan, AS Krishnakumar, Ivan Zorych
    posted to bayesian-networks graphical-models localization monte-carlo sensor-networks by sona on 2008-04-09 16:36:28 as ***
  • Regularization theory and neural networks architectures
    Neural Comput., Vol. 7, No. 2. (March 1995), pp. 219-269.
    by Federico Girosi, Michael Jones, Tomaso Poggio
    posted to neural-networks regularization by sona on 2008-04-09 16:20:04 as *****
  • Challenges in Statistical Machine Learning
    Statistica Sinica, Vol. 16 (2006), pp. 307-322.
    by John Lafferty, Larry Wasserman
    posted to editorial high-dimensions relational-learning semi-supervised sparse-learning structured-prediction by sona on 2008-04-08 19:34:47 as ****
  • Semi-Supervised Learning using Gaussian Fields and Harmonic Functions
    (2003)
    by Xiaojin Zhu, Zoubin Ghahramani, John Lafferty
    posted to digits-recognition kernel-methods linked-input random-field real-dataset relational-learning semi-supervised by sona on 2008-04-08 19:09:07 as ***** along with 1 person ebrochu
  • A Very Fast Learning Method for Neural Networks Based on Sensitivity Analysis
    Journal of Machine Learning Research, Vol. 7 (July 2006), pp. 1159-1182.
    by Enrique Castillo, Bertha Guijarro-Berdiñas, Oscar Fontenla-Romero, Amparo Alonso-Betanzos
    posted to fast-learning learning-algorithms neural-networks sensitivity-analysis supervised by sona on 2008-04-03 15:20:55 as *****
  • An introduction to variable and feature selection
    Journal of Machine Learning Research, Vol. 3 (2003), pp. 1157-1182.
    by Isabelle Guyon, André Elisseeff
    posted to feature-selection survey by sona on 2008-03-19 14:27:47 as **** along with 15 people yaroslavvb bigga JoSeK davidr gyuli buescher76 mukundn student_t chiahuey gkvas Mohan-S dimatura gabriprat amargoli AbnerCYH
  • Use of Neural Network to determine the Boiling Point of Alkanes
    J. Chem. Soc. Faraday Trans., Vol. 90, No. 1. (1994), pp. 97-102.
    by D Cherqaoui, D Villemin
    posted to chemistry neural-networks by sona on 2007-08-02 14:10:04 as **
  • Application of Cascade Correlation Networks for Structures to Chemistry
    Journal of Applied Intelligence (Kluwer Academic Publishers), Vol. 12 (2000), pp. 117-146.
    by AM Bianucci, A Micheli, A Sperduti, A Starita
    edited by Kluwer A Publishers
    posted to cascade-correlation chemistry structured-input by sona on 2007-08-02 14:10:04 as **
  • Bi-directional computing architectures for time series prediction
    Neural Network, Vol. 14 (2001), pp. 1307-1321.
    by H Wakuya, J Zurada
    posted to cascade-correlation contextual-processing recurrent-neural-networks sequences structured-input by sona on 2007-08-02 14:10:04 as **
  • A Learning Algorithm for Continually Running Fully Recurrent Neural Networks
    Neural Computation, Vol. 1 (1989), pp. 270-280.
    by RJ Williams, D Zipser
    posted to learning-algorithms recurrent-neural-networks by sona on 2007-08-02 14:10:04 as **
  • Time Series Prediction by a Neural Network Model Based on the Bi-directional Computational Style
    (2000)
    by H Wakuya, J Zurada
    posted to contextual-processing neural-networks time-series by sona on 2007-08-02 14:10:04 as **
  • Bi-Causal Recurrent Cascade Correlation
    Vol. 3 (2000), pp. 3-8.
    by A Micheli, D Sona, A Sperduti
    posted to cascade-correlation contextual-processing recurrent-neural-networks structured-input time-series by sona on 2007-08-02 14:10:04 as **
  • Phoneme recognition using time--delay neural networks
    IEEE Transactions on Acoustics, Speech and Signal Processing, Vol. 37, No. 3. (1989), pp. 328-339.
    by A Waibel, T Hanazawa, G Hinton, K Shikano, K Lang
    posted to bibtex-import by sona on 2007-08-02 14:10:04 as **
  • The Recurrent Cascade-Correlation Architecture
    (1991), pp. 190-196.
    by SE Fahlman
    edited by RP Lippmann, JE Moody, DS Touretzky
    posted to cascade-correlation recurrent-neural-networks by sona on 2007-08-02 14:10:04 as **
  • Exploiting the past and the future in protein secondary structure prediction
    Bioinformatics, Vol. 15, No. 11. (1999), pp. 937-946.
    by P Baldi, S Brunak, P Frasconi, G Pollastri, G Soda
    posted to bibtex-import by sona on 2007-08-02 14:10:04 as **
  • Supervised Neural Networks for the Classification of Structures
    IEEE Transactions on Neural Networks, Vol. 8, No. 3. (1997), pp. 714-735.
    by A Sperduti, A Starita
    posted to neural-networks recursive-neural-networks structured-input by sona on 2007-08-02 14:10:04 as **
  • Predicting the secondary structure of globular proteins using neural network models
    Journal of Molecular Biology, Vol. 202 (1988), pp. 865-884.
    by N Qian, TJ Sejnowski
    posted to bibtex-import by sona on 2007-08-02 14:10:04 as **
  • Self-Organizing Maps
    Vol. 30 of Series in Information Sciences. (2001)
    by T Kohonen
    posted to centroid-based self-organizing-map unsupervised by sona on 2007-08-02 14:05:22 as read
  • Simple classification into large topic ontology of Web documents
    Journal of Computing and Information Technology, Vol. 13, No. 4. (2005), pp. 279-285.
    by M Grobelnik, D Mladenic
    posted to bibtex-import by sona on 2007-08-02 14:05:22 as read
  • Machine learning on non-homogeneus, distribuited text data
    (1998)
    by D Mladenic
    posted to bibtex-import by sona on 2007-08-02 14:05:22 as read along with 1 person simariva
  • Intelligent document classification
    Journal of Intelligent Data Analysis, Vol. 4, No. 5. (2000), pp. 411-420.
    by RA Calvo, HA Ceccatto
    posted to bibtex-import by sona on 2007-08-02 14:05:22 as read
  • Hierarchically Classifying Documents Using Very Few Words
    (1997), pp. 170-178.
    by D Koller, M Sahami
    posted to bibtex-import by sona on 2007-08-02 14:05:22 as read
  • Machine learning in automated text categorization
    Journal of ACM Computing Surveys, Vol. 34, No. 1. (2002), pp. 1-47.
    by F Sebastiani
    posted to bibtex-import by sona on 2007-08-02 14:05:22 as read
  • Expert Network: Effective and Efficient Learning from Human Decisions in Text Categorization and Retrieval
    (1994), pp. 13-22.
    by Y Yang
    posted to bibtex-import by sona on 2007-08-02 14:05:22 as read
  • Text Classification by Bootstrapping with Keywords, EM and Shrinkage
    (1999), pp. 52-58.
    by A Mccallum, K Nigam
    posted to bibtex-import by sona on 2007-08-02 14:05:22 as read
  • Web-pages Classification into a Hierarchy of Categories
    (2003), pp. 57-72.
    by M Ceci, D Malerba
    posted to bibtex-import by sona on 2007-08-02 14:05:22 as read
  • Hierarchical classification of Web document
    (2000), pp. 256-263.
    by S Dumais, H Chen
    posted to bibtex-import by sona on 2007-08-02 14:05:22 as read
  • Learning with taxonomies: Classifying documents and words
    (2003)
    by T Hofmann, L Caiand, M Ciaramita
    posted to bibtex-import by sona on 2007-08-02 14:05:22 as read
  • Building hierarchical classifiers using class proximity
    (1999)
    by K Wang, S Zhou, S Liew
    posted to bibtex-import by sona on 2007-08-02 14:05:22 as read
  • Hierarchical classification: combining Bayes with SVM
    (2006), pp. 177-184.
    by Cesa N Bianchi, C Gentile, L Zaniboni
    posted to bibtex-import by sona on 2007-08-02 14:05:22 as read
  • Relational Cascade Correlation
    (2007)
    by D Sona, N Polettini
    posted to bibtex-import by sona on 2007-08-02 14:05:22 as read
  • Text Classification by Bootstrapping with Keywords, EM and Shrinkage
    (1999), pp. 52-58.
    by A Mccallum, K Nigam
    posted to bibtex-import by sona on 2007-08-02 14:05:22 as read
  • Bootstrapping for Hierarchical Document Classification
    (2003), pp. 295-302.
    by G Adami, P Avesani, D Sona
    posted to bibtex-import by sona on 2007-08-02 14:05:22 as read
  • Clustering Documents in a Web Directory
    (2003), pp. 66-73.
    by G Adami, P Avesani, D Sona
    posted to bibtex-import by sona on 2007-08-02 14:05:22 as read
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