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  • ...
    http://ai.kaist.ac.kr/~jkim/cs679/lectures/student6.ppt

  • Neural ...
    http://ai.obninsk.org/articles/NN_Efficient%20learning%20algorithm%20for%20

  • LIGHTNING CONTRIBUTION TO IMPROVEMENT OF PASSIVE MICROWAVE ...
    http://ams.confex.com/ams/pdfpapers/86040.pdf

  • . ...
    http://asi.insa-rouen.fr/~scanu/Cours3.pdf

  • Atlas: Nonlinear Modeling and Bayesian Information Criteria by Sadanori Konishi...
    http://atlas-conferences.com/c/a/f/r/41.htm

  • Hyperkernels ...
    http://books.nips.cc/papers/files/nips15/LT21.pdf

  • NSF-ITR/IM PROJECT: 2003 Abstracts ...
    http://cbcl.mit.edu/cbcl/projects/nsf-itr/nsf-itr-abstracts-2003.pdf

  • m a ss a c h u se t t s i n st i t u t e o f t e c h n o l o g y -- co m p u t e...
    http://cbcl.mit.edu/cbcl/publications/ai-publications/2004/AIM-2004-025.pdf

  • Citations: Regularization algorithms for learning that are equivalent to multila...
    http://citeseer.ist.psu.edu/context/5946/0

  • 48 IEEE TRANSACTIONS ON INFORMATION THEORY, VOL. 42, NO. 1, JANUARY 1996 ...
    http://code.ucsd.edu/~zeger/publications/journals/LuZe-IT-Concept/galley.pd

  • Conference Materials...
    http://cognet.mit.edu/library/conferences/paper?paper_id=2622

  • Model Assessment and ...
    http://compdiag.molgen.mpg.de/ngfn/docs/2004/nov/spang-selection.pdf

  • Regularization Learning and Early Stopping in Linear Networks...
    http://csdl.computer.org/comp/proceedings/ijcnn/2000/0619/04/06194511abs.ht

  • Bias-Variance Trade-Off: Avoiding Overfitting...
    http://documents.wolfram.com/applications/neuralnetworks/DynamicNeuralNetwo

  • Introduction...
    http://documents.wolfram.com/applications/neuralnetworks/TrainingFeedforwar

  • Overfitting and Neural Networks: Conjugate Gradient and Backpropagation...
    http://doi.ieeecomputersociety.org/10.1109/IJCNN.2000.857823

  • Fast Recognition of Musical Genres Using RBF Networks...
    http://doi.ieeecomputersociety.org/10.1109/TKDE.2005.62

  • Sparse Kernel Regression Modelling Using Combined Locally Regularized ...
    http://eprints.ecs.soton.ac.uk/archive/00007755/01/robrols.ps

  • American Political Science Review Vol. 98, No. 2 May 2004 ...
    http://gking.harvard.edu/files/toe-resp.pdf

  • Optimal Use of Regularization and Cross-validation ...
    http://hagan.ecen.ceat.okstate.edu/chen_hag_nn99.pdf

  • GAUSS-NEWTON APPROXIMATION ...
    http://hagan.ecen.ceat.okstate.edu/icnn97a.pdf

  • 311: Neural Networks...
    http://homepages.gold.ac.uk/nikolaev/311tune.htm

  • Machine Learning (Theory)...
    http://hunch.net/index.php

  • 1 ...
    http://ida.first.fhg.de/publications/DorBlaCur03.pdf

  • ...
    http://jimries.com/Neural%20Network%20Overview/Neural%20Network%20Overview.

  • Frequently Asked Questions (FAQ) on Neural Networks 2 of 7...
    http://kslab-www.pi.titech.ac.jp/~supoj/faq/nn2.html

  • Regularization on Continuous and ...
    http://mlg.anu.edu.au/~smola/talks/spectrumnips2002.pdf

  • ANN:DTU Toolbox...
    http://mole.imm.dtu.dk/toolbox/ann/

  • An Application of the Bootstrap 632+ Rule ...
    http://mpa.itc.it/papers/furlanello1997anapplication.pdf

  • DRAFT (October 30, 2003) -- Final version to appear in Proc. NIPS 2003 ...
    http://mrl.nyu.edu/~bregler/nips2003.pdf

  • Improving Generalization Performance of Natural Gradient Learning Using Optimize...
    http://neco.mitpress.org/cgi/content/abstract/16/2/355

  • (Michael) Wenxin Jiang...
    http://neyman.stats.northwestern.edu/jiang/boosting.html

  • (Michael) Wenxin Jiang...
    http://neyman.stats.nwu.edu/jiang/boosting.html

  • Lessons in Neural Network Training: Overfitting May be Harder than Expected, Pro...
    http://petrus.upc.es/~microele/neuronal/xn/docs/Lawrence.Lesson_in_NN_train

  • Citations: The effective number of parameters: An analysis of generalization and...
    http://smealsearch.psu.edu/context/18278/0

  • Training Context-Sensitive Neural Networks With Few Relevant ...
    http://trec.nist.gov/pubs/trec9/papers/icdc_final.pdf

  • Regularization on Continuous and ...
    http://users.rsise.anu.edu.au/~smola/talks/spectrumnips2002.pdf

  • Superkernels ...
    http://users.rsise.anu.edu.au/~smola/talks/superkernel.pdf

  • The Problem of Overfitting ...
    http://web.engr.oregonstate.edu/~tgd/classes/534/slides/part11.pdf

  • Learning Diagnostic Policies from Examples ...
    http://web.engr.oregonstate.edu/~tgd/publications/tr-integrated-learning-po

  • Data mining with sparse grids using simplicial ...
    http://wissrech.iam.uni-bonn.de/research/pub/garcke/TalkKDD2001.pdf

  • CS599--Contents XI ...
    http://www-clmc.usc.edu/~cs542/CS542_Lecture_XI.pdf

  • DAGSTUHL 2001 - Inference Principles and Model Selection...
    http://www-dbv.informatik.uni-bonn.de/dagstuhl01/abstracts.html

  • MEMORANDUM...
    http://www-personal.umich.edu/~yongh/bioinformatics/HMM

  • J. R. Statist. Soc. B (2004) ...
    http://www-sigproc.eng.cam.ac.uk/~sjg/papers/04/B66.3%202004%20575-589%20Wo

  • 6.867 Machine Learning ...
    http://www.ai.mit.edu/courses/6.867-f02/list.ps

  • Diagnosis using ...
    http://www.bioconductor.org/workshops/Heidelberg02/moldiag.pdf

  • Appendix to the paper : A Novel Method of Protein Secondary Structure ...
    http://www.bioinfo.tsinghua.edu.cn/~huasj/Research/sup_JMB_2001.pdf

  • Proceedings of the Eighth International Workshop on ArtificialIntelligence and S...
    http://www.boosting.org/papers/FreManSch01.pdf

  • 2002s-52 ...
    http://www.cirano.qc.ca/pdf/publication/2002s-52.pdf

  • 5.4 Supervised Learning as an Ill-Posed ...
    http://www.cis.hut.fi/Opinnot/T-61.261/luennot2003/lect9.pdf

  • An Introduction to ...
    http://www.cs.bham.ac.uk/~pxt/NC/stat.learn.bengio.pdf

  • Introduction to Machine Learning ...
    http://www.cs.brown.edu/courses/cs195-5/LectureSlides/CS195-7.pdf

  • July 25, 2003 ...
    http://www.cs.cmu.edu/~lafferty/ml-stat/ellis.ps

  • CHAPTER 1 ...
    http://www.cs.cmu.edu/~tom/mlbook/NBayesLogReg-2-05.pdf

  • Lecture 1.4 ...
    http://www.cs.man.ac.uk/~jls/CS6482/generalization.pdf

  • Instance-Based Learning ...
    http://www.cs.mcgill.ca/~dprecup/courses/ML/Lectures/ml-lecture06.pdf

  • Typical Behaviour ...
    http://www.cs.toronto.edu/~roweis/csc2515/notes/lec11x.pdf

  • Magical Thinking in Data Mining: ...
    http://www.cs.ucsd.edu/users/elkan/kddcoil.ps

  • Studies of Model Selection and Regularization for ...
    http://www.cse.cuhk.edu.hk/~lyu/student/phd/pguo/thesis.pdf

  • ...
    http://www.cse.msu.edu/~cse847/slides/logReg.ppt

  • MEMORANDUM...
    http://www.cse.ucsc.edu/research/compbio/ismb99.handouts/KK185FP.html

  • Optimized Combination, Regularization, and Pruning in ...
    http://www.dcs.ex.ac.uk/people/wangjunl/optimized-combination-regularizatio

  • DRAFT (October 30, 2003) -- Final version to appear in Proc. NIPS 2003 ...
    http://www.dgp.toronto.edu/~hertzman/TorrHertzBreg-nips03.pdf

  • ESANN'2002 proceedings - European Symposium on Artificial Neural Networks ...
    http://www.dice.ucl.ac.be/Proceedings/esann/esannpdf/es2002-304.pdf

  • An introduction to Variational Bayes ...
    http://www.dice.ucl.ac.be/mlg/ToDownload/VB_intro.pdf

  • ...
    http://www.dkfz.de/mga/home/wiemann/MolDiag.ppt

  • Factors Controlling Generalization Ability of MLP Networks ...
    http://www.ece.utexas.edu/~szhong/papers/factors.pdf

  • ECE901 Spring 2004 Statistical Regularization and Learning Theory Lecture: 2 ...
    http://www.ece.wisc.edu/~nowak/ece901/lecture2.pdf

  • ECE901 Spring 2004 Statistical Regularization and Learning Theory Lecture: 3 ...
    http://www.ece.wisc.edu/~nowak/ece901/lecture3.pdf

  • In Neurocomputing 20(1-3): 279-294 (1998). ...
    http://www.esa.espci.fr/ARTICLES/1998kalm.pdf

  • Conclusion 1 ...
    http://www.esat.kuleuven.ac.be/~npochet/Bioinformatics/paper/figs.pdf

  • ON THE REGULARIZATION OF CANONICAL CORRELATION ANALYSIS ...
    http://www.esat.kuleuven.ac.be/~tdebie/papers/TDB-BDM_03.pdf

  • How many hidden units should I use?...
    http://www.faqs.org/faqs/ai-faq/neural-nets/part3/section-10.html

  • What is overfitting and how can I avoid it?...
    http://www.faqs.org/faqs/ai-faq/neural-nets/part3/section-3.html

  • Introduction to Neural Networks...
    http://www.felixgers.de/teaching/NNcourse/

  • REGULARIZATION AND CROSS ...
    http://www.gatsby.ucl.ac.uk/~fernando/SL4a.pdf

  • Statistical models for neural ...
    http://www.gatsby.ucl.ac.uk/~liam/slides/discrete_encoding.pdf

  • ACM/ESE 118: Methods in Applied Statistics and Data Analysis...
    http://www.gps.caltech.edu/~tapio/acm118/index.shtml

  • Learning & Adaptive Systems 1 ...
    http://www.hh.se/staff/denni/courses/LS/lecture_09_generalization.pdf

  • Using Document Features to ...
    http://www.hut.fi/~timoko/papers/Koskela_icann01.pdf

  • Multilevel Regularization of Wavelet Based Fitting ...
    http://www.iam.uni-bonn.de/~kunoth/papers/Castano_Kunoth_final.pdf

  • An Introduction to ...
    http://www.idiap.ch/~bengio/lectures/tex_theory.pdf

  • Data, Functions, Risk ...
    http://www.idiap.ch/~bengio/lectures/theory.pdf

  • Introduction to Neural Networks...
    http://www.idsia.ch/NNcourse/intro.html

  • A simple neuron trained as a classifier...
    http://www.inference.phy.cam.ac.uk/mackay/itprnn/code/neuron/Welcome.html

  • Ridge-Penalty Regularization for Kernel-CCA ...
    http://www.ipf.tuwien.ac.at/publications/reiter_melzer_kCCA_OAGM_2004.pdf

  • Extending Metric-Based Model Selection and ...
    http://www.iro.umontreal.ca/~chapados/publications/techrep_ADJ+Parzen.pdf

  • Boosting on manifolds: adaptive regularization ...
    http://www.iro.umontreal.ca/~kegl/research/publications/keglWang04.pdf

  • Support Vector Machines for ...
    http://www.isi.edu/~hdaume/docs/cs544_svms.pdf

  • Advances in Speech Recognition Using Sparse Bayesian Methods ...
    http://www.isip.msstate.edu/publications/journals/ieee_sap/2002/relevance_v

  • Preconference Workshops...
    http://www.isye.gatech.edu/isf2001/preconference.html

  • Automatic Generation of Neural Networks ...
    http://www.itba.edu.ar/capis/webcapis/RGMITBA/articulosrgm/R-resi-automatic

  • 4th International Symposium on Independent Component Analysis and Blind Signal S...
    http://www.kecl.ntt.co.jp/icl/signal/ica2003/cdrom/data/0092.pdf

  • Using Document Features to ...
    http://www.lce.hut.fi/~timoko/papers/Koskela_icann01.pdf

  • Experimental investigation on the complexity-performance relations ...
    http://www.lirmm.fr/~w3ifa/MAAS/Articles-en-ligne/CGG-ICANN-95.pdf

  • ORACLE INEQUALITIES AND REGULARIZATION ...
    http://www.math.leidenuniv.nl/~geer/laredoreport.pdf

  • Regularization :: Backpropagation (Neural Network Toolbox)...
    http://www.mathworks.com/access/helpdesk/help/toolbox/nnet/backpr17.html

  • Neural Network Regularization with ...
    http://www.mpia.de/GAIA/meet03/willemsen_regularization.pdf

  • Lessons in Neural Network Training: Overfitting May be Harder than Expected...
    http://www.neci.nj.nec.com/homepages/lawrence/papers/overfitting-aaai97/lat

  • A kernel method for canonical correlation analysis ...
    http://www.neurosci.aist.go.jp/~akaho/papers/IMPS2001full.pdf

  • Extraction of crisp logical rules using ...
    http://www.phys.uni.torun.pl/publications/kmk/97esann.pdf

  • Bayesian Regularization and Nonnegative ...
    http://www.seas.upenn.edu/~linyuanq/NIPs2004.pdf

  • ...
    http://www.soe.ucsc.edu/research/compbio/bme100/hmms_bme100.ppt

  • Abstracts - Journal of Electronic Imaging - Journals - Publications - SPIE Web...
    http://www.spie.org/web/journals/jei/jei_jan02.html

  • CS229 Lecture notes ...
    http://www.stanford.edu/class/cs229/notes/cs229-notes5.pdf

  • ...
    http://www.stanford.edu/~krist/talks/tagging.ppt

  • Sparse Bayesian Classifiers for Text Categorization ...
    http://www.stat.rutgers.edu/~madigan/PAPERS/jicrd-v13.pdf

  • ...
    http://www.stat.unc.edu/postscript/papers/marron/Stat321FDA/FDA5-2-01.doc

  • Proofs subject to correction. Not to be reproduced without permission. Confident...
    http://www.stats.bris.ac.uk/~magpn/RS/Dec03/Wolfe10Dec2003.pdf

  • Optimal Combination...
    http://www.stsci.edu/stsci/meetings/irw/proceedings/walshj.dir/section3_2.h

  • Regularization and Pruning...
    http://www.thep.lu.se/public_html/jetnet_30_manual/node26.html

  • ...
    http://www.ubka.uni-karlsruhe.de/vvv/1998/informatik/5/5.text

  • Discussion...
    http://www.uwasa.fi/cs/publications/2NWGA/node165.html

  • Introduction to Neural Networks...
    http://www.willamette.edu/~gorr/classes/cs449/intro.html

  • Overfitting...
    http://www.willamette.edu/~gorr/classes/cs449/overfitting.html

  • Incremental Feature Selection and 1 Regularization ...
    http://www2.parc.com/istl/members/riezler/PAPERS/EMNLP04.pdf

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