|
|
... 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
|
|
|