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Tag kernels [56 articles]

Recent papers classified by the tag kernels.
  • Molecule Kernels: A Descriptor- and Alignment-Free Quantitative Structure–Activity Relationship Approach
    J. Chem. Inf. Model. (4 September 2008)
    by Johannes A Mohr, Brijnesh J Jain, Klaus Obermayer
    posted to qsar molecule kernels descriptor bipod alignment-free alignment by zimbo1 on 2008-09-08 14:19:36 as **
  • Making Tree Kernels Practical for Natural Language Learning
    (2006)
    by Alessandro Moschitti
    posted to argument kernels machines predicate structure support svms tree vector by vlachmore on 2007-10-05 11:40:17 as read along with 2 people scis0000001 julianpan
  • Dependency tree kernels for relation extraction
    (2004)
    by Aron Culotta, Jeffrey Sorensen
    posted to dependency extraction kernels parsing relation tree by vlachmore on 2007-11-16 17:47:02 as **** along with 2 people ngrandy gilesc
  • Hierarchical directed acyclic graph kernel: methods for structured natural language data
    (2003), pp. 32-39.
    by Jun Suzuki, Tsutomu Hirao, Yutaka Sasaki, Eisaku Maeda
    posted to graph kernels by vlachmore on 2007-11-16 15:59:24 as *****
  • Diffusion kernels on graphs and other discrete input spaces
    (2002)
    by R Kondor, J Lafferty
    posted to discrete heat kernels machines space support vector by vlachmore on 2007-11-08 12:22:39 as **** along with 1 person aheilbut
  • Convolution Kernels on Discrete Structures
    (1999)
    by D Haussler
    posted to convolution graphkernels kernels by uwenagel on 2008-05-19 15:49:14 as read along with 1 person girschick
  • Fast On-line Kernel Learning for Trees
    by Fabio A Giovanni
    posted to graphkernels graphs kernels by uwenagel on 2008-05-19 15:50:34 as ***
  • Shortest-path kernels on graphs
    Data Mining, Fifth IEEE International Conference on (2005), 8 pp..
    by KM Borgwardt, HP Kriegel
    posted to graphkernels kernels walkkernels by uwenagel on 2008-05-23 17:31:21 as ** along with 2 people MarcoAlvarez jccaicedo
  • Kernel based automatic clustering using modified particle swarm optimization algorithm
    (2007), pp. 2-9.
    by Ajith Abraham, Swagatam Das, Amit Konar
    posted to clustering graphkernels kernels by uwenagel on 2008-03-10 12:23:42 as * along with 2 people and 3 groups nojhan wtribbey EvolutionaryComputation Metaheuristics Optimization
  • The heat kernel as the pagerank of a graph
    Proceedings of the National Academy of Sciences (5 December 2007), 0708838104.
    by Fan Chung
    posted to clustering graphkernels graphs heatkernels kernels by uwenagel on 2008-05-20 13:32:21 as ** along with 3 people tmmurali macle cjeans
  • A comparison of string kernels and discrete hidden Markov models on a Spanish digit recognition task
    Engineering in Medicine and Biology Society, 2003. Proceedings of the 25th Annual International Conference of the IEEE, Vol. 3 (2003), pp. 2962-2965 Vol.3.
    by J Goddard, AE Martinez, FM Martinez, HL Rufiner
    posted to convolution kernels by uwenagel on 2008-05-20 16:16:24 as **
  • A Convolution Edit Kernel for Error-tolerant Graph Matching
    Pattern Recognition, 2006. ICPR 2006. 18th International Conference on, Vol. 4 (2006), pp. 220-223.
    by M Neuhaus, H Bunke
    posted to graphkernels graphs kernels by uwenagel on 2008-05-20 16:18:48 as *** along with 1 person amirsaffari
  • Manifolds and graphs with slow heat kernel decay
    (2001)
    by M Barlow, T Coulhon, A Grigor'yan
    posted to graphkernels heatkernels kernels by uwenagel on 2008-05-23 17:58:08 as **
  • Cyclic Pattern Kernels Revisited
    Advances in Knowledge Discovery and Data Mining (2005), pp. 791-801.
    by Tamás Horváth
    posted to graphkernels kernels by uwenagel on 2008-07-30 09:35:26 as **
  • Learning the Kernel with Hyperkernels
    J. Mach. Learn. Res., Vol. 6 (2005), pp. 1043-1071.
    by Cheng S Ong, Alexander J Smola, Robert C Williamson
    posted to graphkernels graphs kernels by uwenagel on 2008-02-15 13:30:37 as **
  • Noise analysis in Toeplitz and Hankel kernels for estimating time-varying spectra
    Signal Processing and its Applications, Sixth International, Symposium on. 2001, Vol. 1 (2001), pp. 335-338 vol.1.
    by L Stankovic, MJ Bastiaans
    posted to toeplitz spectral_analysis noise_analysis kernels hankel by tjolynn82 on 2008-10-11 10:19:58 as **
  • Toeplitz and Hankel kernels for estimating time-varying spectra of discrete-time random processes
    Signal Processing, IEEE Transactions on, Vol. 49, No. 1. (2001), pp. 179-189.
    by LL Scharf, B Friedlander
    posted to toeplitz time-varying_spectra kernels hankel by tjolynn82 on 2008-10-11 14:29:41 as **
  • Modeling of nonlinear physiological systems with fast and slow dynamics. II. Application to cerebral autoregulation.
    Ann Biomed Eng, Vol. 30, No. 4. (April 2002), pp. 555-565.
    by GD Mitsis, R Zhang, BD Levine, VZ Marmarelis
    posted to autoregulation kernels volterra by tingying on 2006-07-31 15:34:35 as ** along with 1 person and 1 group alexr Autoregulation
  • Modeling of nonlinear physiological systems with fast and slow dynamics. I. Methodology.
    Ann Biomed Eng, Vol. 30, No. 2. (February 2002), pp. 272-281.
    by GD Mitsis, VZ Marmarelis
    posted to autoregulation kernels volterra by tingying on 2006-07-31 15:33:21 as read along with 1 group Autoregulation
  • A kernel view of the dimensionality reduction of manifolds
    (2004)
    by J Ham, D Lee, S Mika, B Scholkopf
    posted to kernels learning manifolds by singhsh on 2008-03-07 22:05:38 as **
  • Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning)
    (15 December 2001)
    by Bernhard Schlkopf, Alexander J Smola
    posted to book kernels svm by singhsh on 2008-02-29 18:53:38 as read along with 10 people and 1 group thefillm sdvillal AbnerCYH raiyar wenhan librain jung_dalglish robotact ecome quianominorleo Medical Image Analysis and Visualization @ OSU
  • Scientific Computing Kernels on the Cell Processor
    International Journal of Parallel Programming, Vol. 35, No. 3. (June 2007), pp. 263-298.
    by Samuel Williams, John Shalf, Leonid Oliker, Shoaib Kamil, Parry Husbands, Katherine Yelick
    posted to cellprocessor kernels by sharshera on 2007-06-22 20:16:02 as *** along with 1 person and 1 group mmuecke SCAL
  • Kernel theorems and nuclearity in idempotent mathematics. An algebraic approach
    Journal of Mathematical Sciences, Vol. 141, No. 4. (March 2007), pp. 1417-1428.
    by Litvinov, , Shpiz,
    posted to extremal-mathematics kernels nuclearity by Scis0000002 on 2007-08-28 14:52:57 as **
  • An Introduction to Support Vector Machines and Other Kernel-based Learning Methods
    (23 March 2000)
    by Nello Cristianini, John Shawe-Taylor
    posted to kernels ml svm by sb-3000 on 2005-10-04 17:27:49 as read along with 19 people and 6 groups yaroslavvb davidr baaic sleitich ryanshaw nello MatMay grzegorz buescher76 lyongu archroad AbnerCYH brunomelo atbrew kklo mfcabrera asterix77 eacosta quianominorleo sims_phd_cohort_2005 digital_youth Computational-Genomics Pattern-Analysis AI RiSE
  • Kernels for structured data
    (2002)
    by T Gartner, J Lloyd, P Flach
    posted to kernels ml by sb-3000 on 2005-10-12 13:18:13 as read along with 1 person sona
  • Kernel Methods for Pattern Analysis
    (28 June 2004)
    by John Shawe-Taylor, Nello Cristianini
    posted to classification kernels ml svm by sb-3000 on 2005-10-04 17:24:54 as read along with 14 people and 3 groups thefillm davidr nello MatMay bayesian lyongu klaudius filippone sdvillal ecome librain kozaki jung_dalglish quianominorleo Computational-Genomics Pattern-Analysis LTN
  • An introduction to kernel-based learning algorithms
    Neural Networks, IEEE Transactions on, Vol. 12, No. 2. (2001), pp. 181-201.
    by KR Muller, S Mika, G Ratsch, K Tsuda, Bernhard Schölkopf
    posted to kernels machine-learning pattern-recognition by pliz on 2008-01-30 05:29:09 as read along with 10 people vi_z grzegorz bayesian mthomure zoop atbrew kozaki teesid jccaicedo i-stevenson
  • Histogram intersection kernel for image classification
    Image Processing, 2003. ICIP 2003. Proceedings. 2003 International Conference on, Vol. 3 (2003), pp. III-513-16 vol.2.
    by A Barla, F Odone, A Verri
    posted to kernels machine-learning by paolo on 2006-05-01 00:37:54 as read along with 3 people and 1 group jccaicedo zoop matjes Bioinformatics
  • Large Margin Methods for Structured and Interdependent Output Variables
    J. Mach. Learn. Res., Vol. 6 (2005), pp. 1453-1484.
    by Ioannis Tsochantaridis, Thorsten Joachims, Thomas Hofmann, Yasemin Altun
    posted to kernels machine-learning structured-output by paolo on 2006-06-03 14:10:17 as read along with 1 group Bioinformatics
  • Kernel Independent Component Analysis
    Journal of Machine Learning Research, Vol. 3, No. 1. (1 January 2003), pp. 1-48.
    by FR Bach, MI Jordan
    posted to ica kernels by olivierbousquet on 2005-03-21 21:27:41 as ** along with 4 people and 1 group ldfu lwilliams garyfeng memming ReadingLab
  • Some Properties of Regularized Kernel Methods
    J. Mach. Learn. Res., Vol. 5 (2004), pp. 1363-1390.
    by Ernesto D De Vito, Lorenzo Rosasco, Andrea Caponnetto, Michele Piana, Alessandro Verri
    posted to kernels learningtheory regularization svm by olivierbousquet on 2005-03-21 21:21:47 as **
  • Beyond Independent Components: Trees and Clusters
    Journal of Machine Learning Research, Vol. 4, No. 7-8., 1205.
    by Francis R Bach, Michael I Jordan
    posted to clustering ica kernels spectralmethods by olivierbousquet on 2005-03-21 21:28:53 as *** along with 7 people and 2 groups lwilliams jelsas jtextori ingo gangli tpfingst garyfeng tulip ReadingLab
  • Diffusion Kernels on Statistical Manifolds
    J. Mach. Learn. Res., Vol. 6 (2005), pp. 129-163.
    by John Lafferty, Guy Lebanon
    posted to informationgeometry kernels by olivierbousquet on 2005-03-21 21:23:37 as *** along with 5 people and 1 group mdreid yaroslavvb geomblog mukundn sancho Statistical Machine Learning
  • On the influence of the kernel on the consistency of support vector machines
    J. Mach. Learn. Res., Vol. 2 (2002), pp. 67-93.
    by Ingo Steinwart
    posted to kernels learningtheory regularization svm by olivierbousquet on 2005-03-21 21:17:29 as read
  • A one-parameter family of interpolating kernels for Smoothed Particle Hydrodynamics studies
    Journal of Computational Physics, Vol. In Press, Accepted Manuscript
    by Rubén M Cabezón, Domingo García-Senz, Antonio Relaño
    posted to kernels sph theory by nathanquinlan on 2008-06-30 14:20:46 as ** along with 1 group SPHERIC
  • Guarded page tables on Mips R4600 or an exercise in architecture-dependent micro optimization
    SIGOPS Oper. Syst. Rev., Vol. 30, No. 1. (January 1996), pp. 4-15.
    by Jochen Liedtke, Kevin Elphinstone
    posted to kernels page-tables by muli on 2005-10-06 07:04:18 as read along with 1 person aliguori
  • Protein function prediction via graph kernels.
    Bioinformatics, Vol. 21, No. suppl_1. (1 June 2005)
    by Karsten MM Borgwardt, Cheng, Stefan Schönauer, Sv NV Vishwanathan, Alex JJ Smola, Hans-Peter P Kriegel
    posted to bioinformatics kernels protein_structure svm by kt on 2006-02-22 09:40:47 as read along with 8 people and 4 groups MarcoAlvarez tmmurali okarsligil vavi lfriedl marcius eweaver wnpx kdl Bioinformatics BioinfoCIPF SGU-CIPF
  • Latent Semantic Kernels
    J. Intell. Inf. Syst., Vol. 18, No. 2-3. (2002), pp. 127-152.
    by Nello Cristianini, John Shawe-Taylor, Huma Lodhi
    posted to clustering graphs kernels by kevynct on 2005-05-23 17:17:14 as ** along with 3 people and 3 groups A_Olympia weiwu ehohman Philosophy_of_Information Blog_and_Wiki_Research pim
  • Learning Bounds for Kernel Regression Using Effective Data Dimensionality
    Neural Comput., Vol. 17, No. 9. (September 2005), pp. 2077-2098.
    by Tong Zhang
    posted to kernels learning_theory machine_learning semi_supervised_learning spectral_graph_theory by hcs on 2007-04-08 18:31:35 as ** along with 1 person davidr
  • Semi-supervised protein classification using cluster kernels.
    Bioinformatics, Vol. 21, No. 15. (1 August 2005), pp. 3241-3247.
    by J Weston, C Leslie, E Ie, D Zhou, A Elisseeff, WS Noble
    posted to classification classifier cluster kernels machine-learning protein svm by chrn on 2006-05-23 13:24:44 as ** along with 4 people filippone kallberg kozaki amirsaffari
  • Profile-based string kernels for remote homology detection and motif extraction.
    J Bioinform Comput Biol, Vol. 3, No. 3. (June 2005), pp. 527-550.
    by R Kuang, E Ie, K Wang, K Wang, M Siddiqi, Y Freund, C Leslie
    posted to detection extraction homology kernels motif profile-based string svm by chrn on 2006-05-23 13:25:29 as ** along with 3 people and 2 groups ana barry craigtalbert structural_bioinformatics Bioinformatics
  • Kernel-based data fusion and its application to protein function prediction in yeast.
    Pac Symp Biocomput (2004), pp. 300-311.
    by GR Lanckriet, M Deng, N Cristianini, MI Jordan, WS Noble
    posted to functionprediction kernels machinelearning networks tmpcite1 by carlk on 2008-06-15 18:39:29 as ** along with 1 person jccaicedo
  • A statistical framework for genomic data fusion.
    Bioinformatics, Vol. 20, No. 16. (1 November 2004), pp. 2626-2635.
    by GR Lanckriet, T De Bie, N Cristianini, MI Jordan, WS Noble
    posted to functionprediction kernels machinelearning networks tmpcite1 by carlk on 2008-06-15 18:40:15 as ** along with 6 people tmmurali jfr mbeautru nedwards ptrobajo mdstobbe
  • Kernels for small molecules and the prediction of mutagenicity, toxicity and anti-cancer activity.
    Bioinformatics, Vol. 21 Suppl 1 (June 2005)
    by SJ Swamidass, J Chen, J Bruand, P Phung, L Ralaivola, P Baldi
    posted to baldi cancer cheminformatics chemistry chemoinformatics classification fingerprint kernels molecules prediction search toxicity by baldigroup on 2007-11-28 19:00:45 as read along with 1 person girschick
  • Graph kernels for chemical informatics.
    Neural Netw, Vol. 18, No. 8. (October 2005), pp. 1093-1110.
    by L Ralaivola, SJ Swamidass, H Saigo, P Baldi
    posted to baldi chemoinformatics classification fingerprint kernels svm by baldigroup on 2008-01-15 17:48:32 as read along with 2 people kuhn girschick
  • Image Classification with Segmentation Graph Kernels
    Computer Vision and Pattern Recognition, 2007. CVPR '07. IEEE Conference on (2007), pp. 1-8.
    by Z Harchaoui, F Bach
    posted to kernels image graph classification by amirsaffari on 2008-09-09 23:20:19 as read
  • Marginalized kernels for biological sequences.
    Bioinformatics (Oxford, England), Vol. 18 Suppl 1 (2002)
    by K Tsuda, T Kin, K Asai
    posted to kernels convolution by amirsaffari on 2008-09-09 23:46:41 as read along with 1 person jccaicedo
  • Image Classification Using Marginalized Kernels for Graphs
    Graph-Based Representations in Pattern Recognition (2007), pp. 103-113.
    by Emanuel Aldea, Jamal Atif, Isabelle Bloch
    posted to kernels image graph classification by amirsaffari on 2008-09-09 23:21:47 as read
  • Convolution kernels on discrete structures
    (1999)
    by David Haussler
    posted to kernels convolution by amirsaffari on 2008-09-09 23:44:25 as **
  • Exploiting generative models in discriminative classifiers
    Advances in Neural Information Processing Systems 11 (1999), pp. 487-493.
    by T Jaakkola, D Haussler
    posted to fisher kernels by amirsaffari on 2007-11-22 14:03:41 as read along with 5 people dkulp viditjain sugarexpletive jsr schulz
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