thefillm's machine_learning [52 articles] Export

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	Self-Organising Maps in Computer Security [My Copy] In Computer Security: Intrusion, Detection and Prevention (2009), pp. 1-30. by Jan Feyereisl, Uwe Aickelin edited by Ronald D. Hopkins, Wesley P. Tokere posted to som security machine_learning by thefillm on 2009-10-13 11:21:13 as
	Geometrical insights into the dendritic cell algorithm [My Copy] In GECCO '09: Proceedings of the 11th Annual conference on Genetic and evolutionary computation (2009), pp. 1275-1282. by Thomas Stibor, Robert Oates, Graham Kendall, Jonathan M. Garibaldi posted to machine_learning dca danger_theory by thefillm on 2009-10-12 02:33:43 as
	Least squares quantization in PCM [My Copy] Information Theory, IEEE Transactions on In Information Theory, IEEE Transactions on, Vol. 28, No. 2. (06 January 2003), pp. 129-137. by S. Lloyd posted to machine_learning kmeans clustering by thefillm on 2009-10-12 00:07:47 as along with 6 people emailhy jirak tvdbulck chiarafulgenzi ajay81 marrtin
	On the Uniform Convergence of Relative Frequencies of Events to Their Probabilities [My Copy] Theory of Probability and its Applications, Vol. 16, No. 2. (1971), pp. 264-280. by V. N. Vapnik, Ya posted to stl statistics machine_learning by thefillm on 2009-10-11 23:35:59 as
	Theory of pattern recognition [My Copy] (1974) by V. Vapnik, A. Chervonenkis posted to stl statistics machine_learning by thefillm on 2009-10-11 23:32:10 as
	Advances in Large-Margin Classifiers [My Copy] (02 October 2000) edited by Peter J. Bartlett, Bernhard Schölkopf, Dale Schuurmans, Alex J. Smola posted to machine_learning classification by thefillm on 2009-10-11 20:14:19 as along with 1 person stharward
	A training algorithm for optimal margin classifiers [My Copy] In COLT '92: Proceedings of the fifth annual workshop on Computational learning theory (1992), pp. 144-152. by Bernhard E. Boser, Isabelle M. Guyon, Vladimir N. Vapnik posted to machine_learning classification by thefillm on 2009-10-11 20:01:05 as along with 14 people and 1 group barmak7282 kira awg2 moonykily fiacobelli sohanz srp33 grzegorz chad_davis zoop xiaoyan2006 baldigroup iggykay schulz VT_DLRL
	Cancer diagnosis via linear programming [My Copy] SIAM news, Vol. 23, No. 5. (1990), pp. 1-18. by O. L. Mangasarian, W. H. Wolberg posted to machine_learning dataset clustering by thefillm on 2009-10-11 13:09:11 as
	Boosting a weak learning algorithm by majority [My Copy] In COLT '90: Proceedings of the third annual workshop on Computational learning theory (1990), pp. 202-216. by Yoav Freund posted to statistics machine_learning learning classification by thefillm on 2009-10-10 23:46:14 as along with 1 person awg2
	MCLUST Version 3 for R: Normal Mixture Modeling and Model-Based Clustering [My Copy] (2007) by Chris Fraley, Adrian E. Raftery posted to statistics machine_learning em by thefillm on 2009-10-10 03:51:05 as
	Estimating the Dimension of a Model [My Copy] The Annals of Statistics, Vol. 6, No. 2. (1978), pp. 461-464. by Gideon Schwarz posted to statistics machine_learning em by thefillm on 2009-10-10 03:47:08 as along with 17 people and 2 groups rogerdboyle bennett_tg fabiobayer mweidner flips fordela ppeeling brian yaroslavvb gangli olivierbousquet davidr abhishekseth slygent ciga tvdbulck matjes tulip Computational_Information_Geometry
	Normalized cuts and image segmentation [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on In Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 22, No. 8. (06 August 2002), pp. 888-905. by Jianbo Shi, J. Malik posted to spectral machine_learning clustering by thefillm on 2009-10-10 03:35:31 as along with 15 people and 1 group emailhy Shibby shrikondra thsant mthomure viditjain ulasziyan lanmuzi rv101 swachsmu zeppe ooi johnkork iansimon egozi video_retrieval
	On spectral clustering: Analysis and an algorithm [My Copy] In Advances in Neural Information Processing Systems 14, Vol. 14 (2001), pp. 849-856. by Andrew Y. Ng, Michael I. Jordan, Yair Weiss posted to spectral machine_learning clustering by thefillm on 2009-10-10 03:31:23 as along with 2 people Shibby zzb3886
	Refining Initial Points for K-Means Clustering [My Copy] In ICML '98: Proceedings of the Fifteenth International Conference on Machine Learning (1998), pp. 91-99. by Paul S. Bradley, Usama M. Fayyad posted to machine_learning kmeans clustering by thefillm on 2009-10-09 14:02:04 as along with 3 people imrchen votis pbk
	The global k-means clustering algorithm [My Copy] Pattern Recognition, Vol. 36, No. 2. (February 2003), pp. 451-461. by Aristidis Likas, Nikos Vlassis, Jakob J. Verbeek posted to machine_learning kmeans clustering by thefillm on 2009-10-09 13:57:39 as along with 1 person jrodriguez
	An empirical comparison of four initialization methods for the K-Means algorithm [My Copy] Pattern Recognition Letters, Vol. 20, No. 10. (October 1999), pp. 1027-1040. by J. M. Peña, J. A. Lozano, P. Larrañaga posted to machine_learning kmeans clustering by thefillm on 2009-10-09 13:56:35 as
	Gradient-based learning applied to document recognition [My Copy] Proceedings of the IEEE In Proceedings of the IEEE, Vol. 86, No. 11. (06 August 2002), pp. 2278-2324. by Y. Lecun, L. Bottou, Y. Bengio, P. Haffner posted to machine_learning dataset classification by thefillm on 2009-10-05 00:34:26 as
	Data Mining: Practical machine learning tools and techniques [My Copy] (2005) by Ian H. Witten, Eibe Frank posted to statistics machine_learning by thefillm on 2009-10-03 21:23:05 as
	Data Mining: Concepts and Techniques, Second Edition (The Morgan Kaufmann Series in Data Management Systems) [My Copy] (13 January 2006) by Jiawei Han, Micheline Kamber, Jian Pei posted to machine_learning data_mining by thefillm on 2009-09-30 20:40:50 as along with 13 people and 1 group anib jindra igorbandeira Fantozzi longtop emrebaba ilyashl seninp imrchen fmatthes bigbossman cgarboni eabait ADMiRes
	Artificial Neural Networks: An Introduction (SPIE Tutorial Texts in Optical Engineering, Vol. TT68) [My Copy] (2005) by Kevin L. Priddy, Paul E. Keller posted to neural_nets machine_learning by thefillm on 2009-09-30 20:36:12 as
	Clustering aggregation [My Copy] ACM Trans. Knowl. Discov. Data, Vol. 1, No. 1. (March 2007), 4. by Aristides Gionis, Heikki Mannila, Panayiotis Tsaparas posted to machine_learning ensembles clustering by thefillm on 2009-09-24 15:32:45 as along with 4 people and 1 group eddymier rst azygmunt ajay81 AGH-IISG
	Clustering ensembles: models of consensus and weak partitions [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on In Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 27, No. 12. (31 October 2005), pp. 1866-1881. by A. Topchy, A. K. Jain, W. Punch posted to machine_learning ensembles clustering by thefillm on 2009-09-24 15:31:10 as along with 1 person sterovetta
	Cluster ensembles --- a knowledge reuse framework for combining multiple partitions [My Copy] Journal of Machine Learning Research, Vol. 3 (2002), pp. 583-617. by Alexander Strehl, Joydeep Ghosh posted to machine_learning clustering by thefillm on 2009-09-24 15:27:51 as along with 3 people and 1 group zzb3886 zhangzhenjie dimatura iDataOLD
	Estimation of Dependences Based on Empirical Data: Empirical Inference Science (Information Science and Statistics) [My Copy] (28 March 2006) by Vladimir Vapnik posted to svm stl statistics masterclass machine_learning by thefillm on 2009-08-23 21:09:11 as along with 1 person lbustio
	Two-view feature generation model for semi-supervised learning [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 25-32. by Rie K. Ando, Tong Zhang posted to semisupervised machine_learning cotraining by thefillm on 2009-08-23 20:24:14 as along with 5 people pprett inayatkh noandrews markusd davidr
	Combining labeled and unlabeled data with co-training [My Copy] In COLT' 98: Proceedings of the eleventh annual conference on Computational learning theory (1998), pp. 92-100. by Avrim Blum, Tom Mitchell posted to semisupervised machine_learning cotraining clustering by thefillm on 2009-08-23 18:42:53 as along with 11 people holopoj katja jhe bsilverthorn bfraser amargoli sids vlachmore jccaicedo sithmein eddymier
	Incorporating prior information in machine learning by creating virtual examples [My Copy] Proceedings of the IEEE In Proceedings of the IEEE, Vol. 86, No. 11. (06 August 2002), pp. 2196-2209. by P. Niyogi, F. Girosi, T. Poggio posted to machine_learning masterclass slt by thefillm on 2009-08-10 15:20:39 as along with 1 person Liuftvafas
	STORM - A Novel Information Fusion and Cluster Interpretation Technique [My Copy] In Proceedings of the 10th International Conference on Intelligent Data Engineering and Automated Learning, Vol. 5788 (September 2009), pp. 208-218. by Jan Feyereisl, Uwe Aickelin edited by H. Yin, E. Corchado posted to machine_learning network som by thefillm on 2009-08-07 15:18:10 as
	Handbook of Pattern Recognition and Computer Vision [My Copy] (2005) by C. H. Chen, L. F. Pau, P. S. P. Wang edited by C. H. Chen, P. S. P. Wang posted to clustering machine_learning by thefillm on 2009-08-05 20:02:08 as
	Detection of malicious code by applying machine learning classifiers on static features: A state-of-the-art survey [My Copy] Information Security Technical Report, Vol. 14, No. 1. (February 2009), pp. 16-29. by Asaf Shabtai, Robert Moskovitch, Yuval Elovici, Chanan Glezer posted to executables machine_learning security by thefillm on 2009-06-15 14:07:48 as
	On Fitting Mixture Models [My Copy] na In Energy Minimization Methods in Computer Vision and Pattern Recognition (1999), pp. 732-732. by Málrio Figueiredo, José Leitão, Anil Jain posted to em machine_learning by thefillm on 2009-01-14 11:10:39 as
	The Mathematics of Learning: Dealing with Data [My Copy] Notices of the American Mathematical Society (AMS), Vol. 50, No. 5. (2003), pp. 537-544. by T. Poggio, S. Smale posted to learning machine_learning by thefillm on 2008-12-02 13:18:59 as
	Generalization from Observed to Unobserved Features by Clustering [My Copy] The Journal of Machine Learning Research, Vol. 9 (2008), pp. 339-370. by E. Krupka, N. Tishby posted to clustering machine_learning by thefillm on 2008-12-02 12:15:13 as
	Generative or Discriminative? Getting the Best of Both Worlds [My Copy] BAYESIAN STATISTICS, Vol. 8 (2007), pp. 3-24. by Julia Lasserre, Christopher M. Bishop edited by J. M. Bernardo, M. J. Bayarri, J. O. Berger, et al.A. P. Dawid, D. Heckerman, A. F. M. Smith, M. West posted to machine_learning by thefillm on 2008-12-01 15:59:00 as along with 1 person vlachmore
	A New Framework for Machine Learning [My Copy] Computational Intelligence: Research Frontiers In Computational Intelligence: Research Frontiers (2008), pp. 1-24. by Christopher Bishop posted to machine_learning by thefillm on 2008-12-01 15:53:25 as
	Statistical pattern recognition: a review [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on In Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 22, No. 1. (January 2000), pp. 4-37. by Anil K. Jain, Robert P. W. Duin, Jianchang Mao posted to classification clustering machine_learning review som by thefillm on 2008-12-01 15:04:09 as along with 17 people gavin1332 klmoravec stharward awg2 mthomure akastrin h-chi RafaUsyd balicea yama_tah alexmaclennan gane5h polydicht yangxian abominable EJCKelkboom albertleemon
	Kernel Methods in Computational Biology [My Copy] (01 August 2004) by Bernhard Schölkopf, Koji Tsuda, Jean-Philippe Vert edited by Bernhard Schölkopf, Koji Tsuda, Jean-Philippe Vert posted to kernel machine_learning by thefillm on 2008-12-01 12:21:13 as along with 4 people remoteFuture stharward Scis0000002 rramirezp
	Statistical Learning Theory [My Copy] (16 September 1998) by Vladimir N. Vapnik posted to machine_learning statistics stl by thefillm on 2008-11-14 00:44:24 as along with 23 people and 3 groups tlow montse_gg esyoun idlebrain lbustio iggykay fjanoos shrikondra brian imrchen yaroslavvb gyuli grzegorz sdvillal archroad paolo AbnerCYH abrentnall bundschu johnkork navil shimazaki jaonary Bioinformatics QFRMC_ConsumerCredit generif_paper
	The Nature of Statistical Learning Theory (Information Science and Statistics) [My Copy] (19 November 1999) by Vladimir N. Vapnik posted to machine_learning slt statistics by thefillm on 2008-11-14 00:43:39 as along with 18 people pjcite lbustio bayesian gstiglic brian yaroslavvb creswick mthomure sdvillal atbrew girschick nmdang navil teesid jung_dalglish ecome jaonary akastrin
	Learning to Detect and Classify Malicious Executables in the Wild [My Copy] J. Mach. Learn. Res., Vol. 7 (2006), pp. 2721-2744. by Zico J. Kolter, Marcus A. Maloof posted to machine_learning n_gram security svm by thefillm on 2008-09-29 11:53:23 as along with 1 person gpf
	Pattern Recognition and Machine Learning (Information Science and Statistics) [My Copy] (01 August 2007) by Christopher M. Bishop posted to machine_learning by thefillm on 2008-09-15 20:18:45 as along with 54 people and 6 groups fjanoos pjmaybank emailhy pingmei bklynbam gavin1332 ecome psychorav mircea longtop resilla bertelsen ocs sugarexpletive bgibson tkf mthomure emre haiyeong h-chi brian sbarthelme bayes mboehmer paulclinger stibor ppeeling yaroslavvb sdvillal nojhan gkvas paulinus ajylha helsley hawkes zeppe poluxmoon librain kohei-h brianmc napvasconcelos teesid robotact Hoertnagl matjes eddymier delip markusd filippone singhsh ssomani pprett rwilliamson Dukhat Tracking Methods EvolutionaryComputation Metaheuristics Optimization contact-id MuSAMA
	Information Theory, Inference & Learning Algorithms [My Copy] (15 June 2002) by David J. C. MacKay posted to machine_learning by thefillm on 2008-09-13 09:56:10 as along with 62 people and 5 groups derek_farn fjanoos flips Sergey_gerbek vgauthier foekenev gkatsi pjmaybank serebryakov mdengler jorgeac Fantozzi ARobson betting awarlau Adso dullhunk brian Maderlock alexzeh pprett ppeeling A_Olympia ansobol yaroslavvb JoSeK ingo jrw rpadams gyuli dariusb simonjudge leidner bayesian BarrosH wnpx filippone marcosmuller danielaugot zielaj daveh spirit_of_numenor sbarthelme anon_pl dwf petrijooste wowbagger nrubens chrisc rsantana fishtank rwilliamson poluxmoon robertoalamino brianmc lop matjes delip markusd ekatsyrk luispedro robotact Philosophy_of_Information Blog_and_Wiki_Research AssistiveTechnology inference-group ComplexAdaptiveSystems
	The Elements of Statistical Learning [My Copy] (30 July 2003) by T. Hastie, R. Tibshirani, J. H. Friedman posted to machine_learning statistics by thefillm on 2008-09-12 11:00:23 as along with 61 people and 11 groups ulmer fjanoos azhdari emailhy donnachie singhsh abellogin mahmoodr lop idlebrain makrehchi awarlau gabriprat gokopal alexeigor liamtoh333 amsantos minrmw brian eddymier roys akastrin robotact ansobol pdlug yaroslavvb bigga jelsas davidr gyuli garyfeng aufrank neteler leidner chad_davis jekky balajis Jaykul balicea sdvillal donade bigbossman sbarthelme bedo AbnerCYH nojhan bamberg kgajos raiyar deysandeep petrposik dbgrant nmdang alfirk brianmc jung_dalglish dquercia blueskies Repton quianominorleo jaonary LDA and dimension reduction techniques CMU-HCII Blog_and_Wiki_Research automatic_summarization ReadingLab ur-cls ASR EvolutionaryComputation Metaheuristics Optimization CSBBGraphTheory
	Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond [My Copy] (15 December 2001) by Bernhard Schölkopf, Alexander J. Smola posted to kernel machine_learning svm by thefillm on 2008-09-11 15:06:08 as along with 16 people and 2 groups MajorTomm lbustio vertikalist shrikondra inayatkh sbarthelme sdvillal AbnerCYH raiyar wenhan librain jung_dalglish robotact singhsh ecome quianominorleo BTS-PT-AS-CS Medical Image Analysis and Visualization @ OSU
	Semi-Supervised Learning [My Copy] (01 September 2006) edited by Olivier Chapelle, Bernhard Schölkopf, Alexander Zien posted to machine_learning by thefillm on 2008-09-11 15:04:53 as along with 12 people leisti dpdearing cdepablo eddymier liamtoh333 jekky sdvillal ecome bundschu worldsun jung_dalglish davidr
	Predicting Structured Data [My Copy] (30 September 2007) edited by Gökhan H. Bakir, Thomas Hofmann, Bernhard Schölkopf, Alexander J. Smola, Ben Taskar, S. V. N. Vishwanathan posted to machine_learning by thefillm on 2008-09-11 15:03:17 as
	Pattern Classification (2nd Edition) [My Copy] (21 November 2000) by Richard O. Duda, Peter E. Hart, David G. Stork posted to classification machine_learning by thefillm on 2008-09-06 15:48:43 as along with 53 people and 11 groups pool007 fjanoos emailhy jrodriguez gavin1332 montse_gg kroatiker alexjfalcao purplecrown seninp liamtoh333 lvcargnini ben500 h-chi chiufanlee RafaUsyd aanthon2 eddymier pprett misovalko pdlug JoSeK thsant mhaller gyuli carueda xtizon leidner 1puumu jekky balajis buescher76 balicea sdvillal pbellec ctacmo jclau bigbossman brunomelo ddos mattjb zeppe dimatura theus abellogin singhsh haiyeong napvasconcelos ecome matjes yaroslavvb tgyork middell LDA and dimension reduction techniques CMU-HCII Blog_and_Wiki_Research automatic_summarization video_retrieval ASR AI ComplexAdaptiveSystems RiSE DSTO-CAS Medical Image Analysis and Visualization @ OSU
	Clustering or Automatic Class Discovery: Hierarchical Methods [My Copy] na In A Practical Approach to Microarray Data Analysis (2003), pp. 246-260. by Derek Stanford, Douglas Clarkson, Antje Hoering posted to machine_learning todo by thefillm on 2008-09-03 20:23:12 as
	Belief Classification Approach Based on Generalized Credal EM [My Copy] Symbolic and Quantitative Approaches to Reasoning with Uncertainty In Symbolic and Quantitative Approaches to Reasoning with Uncertainty (2007), pp. 524-535. by Imene Jraidi, Zied Elouedi posted to machine_learning todo by thefillm on 2008-09-03 20:21:51 as
	Analysis of the IJCNN 2007 agnostic learning vs. prior knowledge challenge [My Copy] Neural Networks In Advances in Neural Networks Research: IJCNN '07, 2007 International Joint Conference on Neural Networks IJCNN '07, Vol. 21, No. 2-3. ( 2008), pp. 544-550. by Isabelle Guyon, Amir Saffari, Gideon Dror, Gavin Cawley posted to machine_learning todo by thefillm on 2008-09-03 20:11:01 as

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som	196
security	165
cas_chapter	110
ids	93
clustering	59
machine_learning	52
immunology	23
darpa98	22
ais	21
system_calls	21
kdd99	20
statistics	20
classification	17
visualisation	16
tlr	15
kmeans	15
neural_nets	14
slt	14
lncs	13
network	13
topology	12
neuroscience	11
hierarchical_som	10
danger_theory	10
svm	8
kernel	8
validation	8
interpretation	8
biometrics	8
som_validation	7
darpa99	7
comparison	7
dataset	7
universum	7
spectral	7
metrics	6
dca	6
masterclass	6
pca	6
em	5
email	5
todo	5
nspw	5
stl	5
hmm	5
gtm	5
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executables	4
fraud	4
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self-organization	4
spam	4
filtering	3
information_theory	3
cotraining	3
host	3
vulnerability	3
negative_selection	3
spectralsom	3
physics	3
growing_som	3
lvq	3
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review	3
modelling	3
svc	3
complexity	3
reduction	3
alerts	3
manifolds	3
inference	2
information_fusion	2
cryptography	2
robotics	2
exploit	2
survey	2
semisupervised	2
dos	2
ips	2
cluster	2
ensembles	2
art	2
correlation	2
learning	2
virus	2
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neural_gas	1
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obgyn	1
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ai	1
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vision	1
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competition	1
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nobel_laureate	1
data_mining	1
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privacy	1
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stability	1
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dynamic	1
manet	1
induction	1
genetic	1
posture	1
eye	1
spectrometry	1
web	1
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smartcards	1
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mutual_information	1
knn	1
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noise	1
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inpress	1
fingerprint	1
measure	1
consensus	1
sleep	1
synthetic	1
sammon	1
selection	1
wifi	1
mit	1
important	1
polymorphic	1

thefillm's machine_learning [52 articles] Export

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