Borelli's pattern_recognition [51 articles] Export

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	Machine Learning and Its Applications to Biology [My Copy] PLoS Comput Biol, Vol. 3, No. 6. (29 June 2007), e116. by Adi L. Tarca, Vincent J. Carey, Xue-wen Chen, Roberto Romero, Sorin Drăghici posted to bioinformatics biology machine_learning pattern_recognition review by Borelli on 2007-07-09 16:59:11 as along with 14 people and 3 groups colm rwst winterschlaefer svozil aviad_work druvus giovenko skhadar julius cjeans asddd ciga nklee kmdaily Bioinformatics SysbioMPI-TCells Computational_Information_Geometry
	Pattern recognition methods and applications in biomedical magnetic resonance [My Copy] Progress in Nuclear Magnetic Resonance Spectroscopy, Vol. 39, No. 1. (2 July 2001), pp. 1-40. by J. C. Lindon, E. Holmes, J. K. Nicholson posted to hca knn lda mrs nlm nmr pattern_recognition pca pls simca by Borelli on 2006-11-01 12:07:48 as along with 1 person sparfait
	Evaluation of radiological features for breast tumour classification in clinical screening with machine learning methods [My Copy] Artificial Intelligence in Medicine, Vol. 34, No. 2. (June 2005), pp. 129-139. by Tim W. Nattkemper, Bert Arnrich, Oliver Lichte, et al.Wiebke Timm, Andreas Degenhard, Linda Pointon, Carmel Hayes, Martin O. Leach posted to cancer mri nmr pattern_recognition by Borelli on 2006-11-01 10:18:19 as
	Multiclass linear dimension reduction by weighted pairwise Fisher criteria [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 23, No. 7. (2001), pp. 762-766. by M. Loog, R. P. W. Duin, R. Haeb-Umbach posted to dimension_reduction pairwise pattern_recognition by Borelli on 2006-01-19 12:33:13 as
	Support vector machines for multi-class pattern recognition [My Copy] In Proceedings of the 6th European Symposium on Artificial Neural Networks (ESANN) (1999), pp. 219-224. by J. Weston, C. Watkins edited by M. Verleysen posted to ai multiclass pattern_recognition svm by Borelli on 2006-01-18 01:05:18 as
	Feature Selection for SVMs [My Copy] In Advances in Neural Information Processing Systems 13, Papers from Neural Information Processing Systems (NIPS) 2000, Denver,CO, USA (2001), pp. 668-674. by Jason Weston, Sayan Mukherjee, Olivier Chapelle, Massimiliano Pontil, Tomaso Poggio, Vladimir Vapnik edited by Todd K. Leen, Thomas G. Dietterich, Volker Tresp posted to ai feature_selection pattern_recognition svm by Borelli on 2006-01-18 01:05:18 as
	Multi-class Support Vector Machines [My Copy] (1998) by J. Weston, C. Watkins posted to ai classification multiclass pattern_recognition svm by Borelli on 2006-01-18 01:05:18 as
	Statistical Learning Theory [My Copy] (1996) by V. N. Vapnik posted to classification kernel pattern_recognition regression svm by Borelli on 2006-01-18 01:04:59 as
	Bounds On Error Expectation for Support Vector Machines [My Copy] Neural Computation, Vol. 12, No. 9. (2000), pp. 2013-2036. by V. Vapnik, O. Chapelle posted to bounds pattern_recognition svm by Borelli on 2006-01-18 01:04:59 as
	Bounds on error expectation for SVM [My Copy] In Advances in Large Margin Classifiers (2000), pp. 261-280. by V. Vapnik, O. Chapelle edited by A. J. Smola, P. L. Bartlett, B. Schölkopf, D. Schuurmans posted to bounds pattern_recognition svm by Borelli on 2006-01-18 01:04:59 as
	The Relevance Vector Machine [My Copy] In Advances in Neural Information Processing Systems 12 (2000) by M. E. Tipping edited by Sara A. Solla, Todd K. Leen, Klaus R. Müller posted to bayesian classification pattern_recognition regression by Borelli on 2006-01-18 01:04:32 as
	Towards a Method for Automated Classification of $ ^1H\, $ MRS Spectra from Brain Tumours [My Copy] Journal of NMR in Bio-Medicine, Vol. 11, No. 4--5. (1998), pp. 177-191. by Anne R. Tate, John R. Griffiths, Irene Martínez-Pérez, et al.Àngel Moreno, Ignasi Barba, M. E. Cabañas, Des Watson, Julio Alonso, Frederic Bartumeus, Fabian Isamat, Isidre Ferrer, Francisco Vila, Enric Ferrer, Antoni Capdevila, Carles Arús posted to 1h brain_tumour classification mrs nmr pattern_recognition by Borelli on 2006-01-18 01:04:32 as
	Statistical Pattern Recognition for the Analysis of Biomedical Magnetic Resonance Spectra [My Copy] Journal of Magnetic Resonance Analysis, Vol. 3 (1997), pp. 63-78. by Rosemary A. Tate posted to lda mrs nmr pattern_recognition pca printout review wavelet by Borelli on 2006-01-18 01:04:32 as
	Pattern Recognition Analysis of In Vivo Magnetic Resonance Spectra [My Copy] (June 1996) by Rosemary A. Tate posted to classification invivo mrs nmr pattern_recognition by Borelli on 2006-01-18 01:04:32 as
	Least Squares Support Vector Machines for Classification and nonlinear modelling [My Copy] PASE 2000 (2000) by J. A. K. Suykens posted to classification lssvm pattern_recognition regression svm by Borelli on 2006-01-18 01:03:53 as
	Sparse Least Squares Support Vector Machine Classifiers [My Copy] In ESANN'2000 European Symposium on Artificial Neural Networks (2000), pp. 37-42. by J. A. K. Suykens, L. Lukas, J. Vandewalle posted to classification lssvm pattern_recognition svm by Borelli on 2006-01-18 01:03:53 as along with 1 person statistic01
	Objective probabilities in expert systems [My Copy] Artificial Intelligence, Vol. 61 (1993), pp. 187-208. by L. E. Sucar, D. F. Gillies, D. A. Gillies posted to bayesian expert_systems pattern_recognition probability by Borelli on 2006-01-18 01:03:53 as
	Support Vector Regression with ANOVA Decomposition Kernels [My Copy] In Advances in Kernel Methods --- Support Vector Learning (1999), pp. 285-292. by M. Stitson, A. Gammerman, V. Vapnik, V. Vovk, C. Watkins, J. Weston edited by B. Schölkopf, C. J. C. Burges, A. J. Smola posted to anova kernel pattern_recognition regression svm by Borelli on 2006-01-18 01:03:53 as
	When all Else Fails: Multivariate Analysis for the Robust Accurate Classification of 1H Spectra of Colorectal Biopsies [My Copy] In Society for Magnetic Resonance in Medicine 1995 meeting (1995) by R. L. Somorjai, D. J. Kitchen, B. Dolenko, et al.A. Nikulin, G. Scarth, D. Ende, R. Newland, P. Russel, C. E. Mountford, T. Bezabeh, K. M. Briere, C. N. Bernstein, N. M. Pettigrew, K. J. Lewin, I. C. P. Smith posted to 1h cancer classification nmr pattern_recognition printout by Borelli on 2006-01-18 01:03:31 as
	Bayesian Methods for Support Vector Machines: Evidence and Predictive Class Probabilities [My Copy] Machine Learning, Vol. 46 (2002), pp. 21-52. by Peter Sollich posted to bayesian kernel pattern_recognition svm by Borelli on 2006-01-18 01:03:31 as
	Learning with Kernels [My Copy] (1998) by A. J. Smola posted to kernel pattern_recognition by Borelli on 2006-01-18 01:03:31 as
	Structural Risk Minimization over Data-Dependent Hierarchies [My Copy] IEEE Trans. Inf. Theory, Vol. 44, No. 5. (1998), pp. 1926-1940. by John S. Taylor, P. Bartlett, R. C. Williamson, M. Anthony posted to pac pattern_recognition by Borelli on 2006-01-18 01:03:31 as
	Comparing support vector machines with Gaussian kernels to radial basis function classifiers [My Copy] IEEE Trans.\ Sign.\ Processing, Vol. 45 (1997) by B. Schölkopf, K. Sung, C. Burges, et al.F. Girosi, P. Niyogi, T. Poggio, V. Vapnik posted to classification kernel pattern_recognition rbf svm by Borelli on 2006-01-18 01:03:31 as
	New Support Vector Algorithms [My Copy] No. NC-TR-98-031. (1998) by B. Schölkopf, A. Smola, R. Williamson, P. L. Bartlett posted to kernel pattern_recognition svm by Borelli on 2006-01-18 01:03:02 as
	Estimating the Support of a High-Dimensional Distribution [My Copy] No. 99-87. (2001) by B. Schölkopf, J. Platt, J. Shawe-Taylor, A. J. Smola, R. C. Williamson posted to classification kernel one_class outlier pattern_recognition by Borelli on 2006-01-18 01:03:02 as
	Nonlinear component analysis as a kernel Eigenvalue problem [My Copy] Neural Computation, Vol. 10 (1998), pp. 1299-1319. by B. Schölkopf, A. Smola, K. R. Müller posted to kernel pattern_recognition pca by Borelli on 2006-01-18 01:02:44 as
	Hierarchy, priors and wavelets: structure and signal modelling using ICA [My Copy] Signal Processing (2003) by Stephen Roberts, Evangelos Roussos, Rizwan Choudrey posted to bss ica pattern_recognition wavelets by Borelli on 2006-01-18 01:02:04 as
	Large margin DAGS for mutliclass classification [My Copy] In Advances in Neural Information Systems (2000) by J. Platt, N. Cristianini, Shawe J. Taylor edited by S. A. Solla, T. K. Leen, K. R. Muller posted to multiclass pattern_recognition svm by Borelli on 2006-01-18 01:01:07 as
	Application of Genetic Algorithm for time domain fitting of in vivo MRS data [My Copy] In Society for Magnetic Resonance in Medicine 1995 meeting (August 1995) by Maqbool S. Patel, Gregory Metzger, Xiaoping Hu posted to ga invivo mrs nmr pattern_recognition signal_processing by Borelli on 2006-01-18 01:00:21 as
	Genetic Algorithm-Guided optimal attribute selection: a novel preprocessor for classifying MR spectra [My Copy] In Society for Magnetic Resonance in Medicine 1995 meeting (1995) by A. Nikulin, K. M. Brière, L. Friesen, I. C. P. Smith, R. L. Somorjai posted to feature_selection ga mrs nmr pattern_recognition printout by Borelli on 2006-01-18 00:59:40 as
	Recent Developments in Discriminant Analysis on High Dimensional Spectral Data [My Copy] Journal of Chemometrics and Intelligent Laboratory Systems, Vol. 35, No. 2. (1996), pp. 157-173. by Y. Mallet, D. Coomans, O. de Vell posted to lda pattern_recognition signal by Borelli on 2006-01-18 00:55:22 as
	Information Theory, Inference, and Learning Algorithms [My Copy] (2003) by David Mackay posted to ai bayesian pattern_recognition by Borelli on 2006-01-18 00:54:50 as
	Multicategory Support Vector Machines [My Copy] No. 1043. (2001) by Y. Lee, Y. Lin, G. Wahba posted to multiclass pattern_recognition svm by Borelli on 2006-01-18 00:45:47 as
	Human brain tumors: spectral patterns detected with localized H-1 MR spectroscopy [My Copy] Radiology, Vol. 183 (1992), pp. 701-709. by H. Kugel, W. Heindel, R. I. Ernestus, J. Bunke, R. du Mesnil, G. Friedmann posted to brain_tumour mrs nmr pattern_recognition by Borelli on 2006-01-18 00:10:59 as
	Functional genomic hypothesis generation and experimentation by a robot scientist [My Copy] Nature, Vol. 427 (2004), pp. 247-252. by Ross D. King, Kenneth E. Whelan, Ffion M. Jones, et al.Philip G. K. Reiser, Christopher H. Bryant, Stephen H. Muggleton, Douglas B. Kell, Stephen G. Oliver posted to bayesian genomics hypothesis omics pattern_recognition by Borelli on 2006-01-18 00:10:59 as
	Classification Algorithms [My Copy] (1985) by Mike James posted to lda pattern_recognition by Borelli on 2006-01-18 00:10:59 as
	Artificial intelligence and molecular biology [My Copy] (1993) edited by Lawrence Hunter posted to pathway pattern_recognition by Borelli on 2006-01-18 00:10:13 as
	Application of Chemometrics to the Analysis of $ ^1H\, $ MR Spectra of Tumours [My Copy] (1993) by Sian L. Howells posted to 1h cancer mrs nmr pattern_recognition by Borelli on 2006-01-18 00:10:13 as
	An Investigation of Tumor $^1H$ Nuclear Magnetic Resonance Spectra by the Application of Chemometric Techniques [My Copy] Mag. Res. Med., Vol. 28 (1992), pp. 214-236. by S. L. Howells, R. J. Maxwell, A. C. Peet, J. R. Griffiths posted to 1h mrs nmr pattern_recognition by Borelli on 2006-01-18 00:10:13 as
	Classification of Tumour $^1H$ NMR Spectra by Pattern Recognition [My Copy] NMR in Bio-Medicine, Vol. 5 (1992), pp. 59-64. by S. L. Howells, R. J. Maxwell, J. R. Griffiths posted to 1h cancer nmr pattern_recognition by Borelli on 2006-01-18 00:10:13 as
	Determination of histopathological tumor grade in neuroepithelial brain tumors by using spectral pattern analysis of in vivo spectroscopic data [My Copy] Journal of Neurosurgery, Vol. 98, No. 1. (January 2003), pp. 74-81. by Sebastian Herminghaus, Thomas Dierks, Ulrich Pilatus, et al.Walter M. Hartmann, Jörg Wittsack, Gerhard Marquardt, Christoph Labisch, Heinrich Lanfermann, Wolfgang Schlote, Friedhelm E. Zanella posted to brain_tumour invivo mrs nmr pattern_recognition by Borelli on 2006-01-18 00:10:13 as
	From Magnetic Resonance Spectroscopy to Classification of Tumors. A Review of Pattern Recognition Methods [My Copy] Journal of NMR in Bio-Medicine, Vol. 11, No. 4--5. (1998), pp. 148-156. by G. Hagberg posted to mrs nmr pattern_recognition review by Borelli on 2006-01-18 00:10:13 as
	Genetic Programming for Classification and Feature Selection: Analysis of H-1 Nuclear Magnetic Resonance Spectra from Human Brain Tumour Biopsies [My Copy] NMR in biomedicine, Vol. 11, No. 4--5. (1998), pp. 217-224. by H. F. Gray, R. J. Maxwell, I. Martínez-Pérez, C. Arús, S. Cerdán posted to 1h brain_tumour feature_selection ga mrs nmr pattern_recognition printout by Borelli on 2006-01-18 00:09:04 as
	Evolutionary computation for the interpretation of metabolic data [My Copy] In Metabolic Profiling - Its Role in Biomarker Discovery and Gene Function Analysis (2003), pp. 39-68. by Royston Goodacre, Douglas B. Kell edited by George G. Harrigan, Royston Goodacre posted to metabolomics omics pattern_recognition by Borelli on 2006-01-18 00:09:04 as
	Introduction to Statistical Pattern Recognition [My Copy] (1990) by Keinosuke Fukunaga posted to pattern_recognition by Borelli on 2006-01-18 00:08:31 as
	Special issue on artificial intelligence in neuroimaging: four challenges to improve interpretation of brain images [My Copy] Artificial Intelligence in Medicine, Vol. 30, No. 2. (February 2004), pp. 91-95. by Michel Dojat posted to mri nmr pattern_recognition by Borelli on 2006-01-18 00:07:53 as
	The use of multivariate MR imaging intensities versus metabolic data from MR spectroscopic imaging for brain tumour classification [My Copy] Journal of Magnetic Resonance, Vol. 173 (2005), pp. 218-228. by A. Devos, A. W. Simonetti, M. van der Graaf, et al.L. Lukas, J. A. K. Suykens, L. Vanhamme, L. M. C. Buydens, A. Heerschap, S. Van Huffel posted to diagnosis lssvm mri nmr pattern_recognition svm by Borelli on 2006-01-18 00:07:53 as
	A fishing buddy for hypothesis generator [My Copy] Science, Vol. 308, No. 22. (2005), pp. 504-506. by Roger Brent, Larry Lok posted to bayesian_network hypothesis pattern_recognition by Borelli on 2006-01-18 00:06:21 as
	Neural Networks for Pattern Recognition [My Copy] (1995) by C. M. Bishop posted to ann pattern_recognition by Borelli on 2006-01-18 00:06:21 as
	Theoretical foundations of the potential function methods in pattern recognition learning [My Copy] Automation and Remote Control, Vol. 25 (1964), pp. 821-837. by M. O. A. Aizerman, E. M. Braverman, L. I. Rozoner posted to pattern_recognition by Borelli on 2006-01-18 00:04:57 as

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