Etienne Côme's Top Recommendations

These recommendations were last updated 43 minutes ago.

	A theory of the learnable [My Copy] In STOC '84: Proceedings of the sixteenth annual ACM symposium on Theory of computing (1984), pp. 436-445. by L. G. Valiant posted by 1 person nico_trompiste
	Bus maintenance systems and maintenance scheduling: model formulations and solutions [My Copy] Transportation Research Part A: Policy and Practice, Vol. 36, No. 5. (June 2002), pp. 453-482. by A. Haghani posted by 1 person nico_trompiste
	Large Margin Gaussian Mixture Modeling for Phonetic Classification and Recognition [My Copy] Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings. 2006 IEEE International Conference on, Vol. 1 (19 May 2006), pp. I-I. by Fei Sha, L. K. Saul
	Large margin training for hidden Markov models with partially observed states [My Copy] In ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning (2009), pp. 265-272. by Trinh Minh Tri Do, Thierry Artières
	Shallow Parsing with Conditional Random Fields [My Copy] (2003), pp. 213-220. by Fei S. And, Fei Sha, O. Pereira
	Data-driven neighborhood selection of a Gaussian field [My Copy] Computational Statistics & Data Analysis (11 December 2009) by Nicolas Verzelen, posted by 1 person nico_trompiste
	Modeling and prediction for discharge lifetime of battery systems using hybrid evolutionary algorithms [My Copy] Computers & Chemistry, Vol. 25, No. 3. (May 2001), pp. 251-259. by H Cao, posted by 1 person nico_trompiste
	Gaussian mixture learning via robust competitive agglomeration [My Copy] Pattern Recognition Letters (11 December 2009) by Zhiwu Lu,, Yuxin Peng,, Horace .. S. .. Ip, posted by 1 person nico_trompiste
	Independent factor discriminant analysis [My Copy] Comput. Stat. Data Anal., Vol. 52, No. 6. (2008), pp. 3246-3254. by Angela Montanari, Daniela G. Calò, Cinzia Viroli posted by 1 person nico_trompiste
	Sigma-point Kalman filtering for battery management systems of LiPB-based HEV battery packsPart 2: Simultaneous state and parameter estimation [My Copy] Journal of Power Sources, Vol. 161, No. 2. (27 October 2006), pp. 1369-1384. by G PLETT, posted by 1 person nico_trompiste
	Sigma-point Kalman filtering for battery management systems of LiPB-based HEV battery packsPart 1: Introduction and state estimation [My Copy] Journal of Power Sources, Vol. 161, No. 2. (27 October 2006), pp. 1356-1368. by G PLETT, posted by 1 person nico_trompiste
	Context sensitive recognition of abrupt changes in cutting process [My Copy] Expert Systems with Applications (12 November 2009) by Petar .. Petrovic,, Zivana Jakovljevic,, Vladimir .. Milacic, posted by 1 person nico_trompiste
	Optimization Techniques for Semi-Supervised Support Vector Machines [My Copy] J. Mach. Learn. Res., Vol. 9 (2008), pp. 203-233. by Olivier Chapelle, Vikas Sindhwani, Sathiya S. Keerthi posted by 1 person nico_trompiste
	On-Line Adaptive Learning Of The Correlated Continuous Density Hidden Markov Models For Speech Recognition [My Copy] IEEE Trans. on Speech and Audio Processing, Vol. 6 (0), pp. 386-397. by Qiang Huo, Chin-hui Lee posted by 1 person nico_trompiste
	Boosting Support Vector Machines Successfully [My Copy] In MCS '09: Proceedings of the 8th International Workshop on Multiple Classifier Systems (2009), pp. 509-518. by Kai M. Ting, Lian Zhu posted by 1 person nico_trompiste
	Bayesian Fault Detection and Diagnosis in Dynamic Systems [My Copy] In In Proc. AAAI (2000), pp. 531-537. by Uri Lerner, Ronald Parr, Daphne Koller, Gautam Biswas posted by 1 person nico_trompiste
	A review of process fault detection and diagnosis Part II: Qualitative models and search strategies [My Copy] Computers & Chemical Engineering, Vol. 27, No. 3. (15 March 2003), pp. 313-326. by V Venkatasubramanian, posted by 1 person nico_trompiste
	A review of process fault detection and diagnosis Part I: Quantitative model-based methods [My Copy] Computers & Chemical Engineering, Vol. 27, No. 3. (15 March 2003), pp. 293-311. by V Venkatasubramanian, posted by 1 person nico_trompiste
	Discussion of the paper "Arcing Classifiers" by Leo Breiman [My Copy] (1997) by Yoav Freund, Robert E. Schapire posted by 1 person nico_trompiste
	The use of unlabeled data to improve supervised learning for text summarization [My Copy] In SIGIR '02: Proceedings of the 25th annual international ACM SIGIR conference on Research and development in information retrieval (2002), pp. 105-112. by Massih R. Amini, Patrick Gallinari posted by 1 person nico_trompiste
	Accelerating EM for Large Databases [My Copy] Machine Learning In Machine Learning, Vol. 45, No. 3. (1 December 2001), pp. 279-299. by Bo Thiesson, Christopher Meek, David Heckerman posted by 1 person nico_trompiste
	Extended Kalman filtering for battery management systems of LiPB-based HEV battery packsPart 3. State and parameter estimation [My Copy] Journal of Power Sources, Vol. 134, No. 2. (August 2004), pp. 277-292. by G PLETT, posted by 1 person nico_trompiste
	Extended Kalman filtering for battery management systems of LiPB-based HEV battery packsPart 2. Modeling and identification [My Copy] Journal of Power Sources, Vol. 134, No. 2. (August 2004), pp. 262-276. by G PLETT, posted by 1 person nico_trompiste
	Hidden semi-Markov models [My Copy] Artificial Intelligence (17 November 2009) by Shun-Zheng Yu, posted by 3 people nico_trompiste beete fheintz
	A novel measure for evaluating classifiers [My Copy] Expert Systems with Applications (13 November 2009) by Jin-Mao Wei,, Xiao-Jie Yuan,, Qing-Hua Hu,, Shu-Qin Wang, posted by 2 people nico_trompiste zimbo1
	Analysis of a sequential Monte Carlo method for optimization in dynamical systems [My Copy] Signal Processing (12 November 2009) by Joaquín Míguez, posted by 1 person nico_trompiste
	A Brief Introduction to Boosting [My Copy] (1999) by Robert E. Schapire posted by 2 people nico_trompiste yaroslavvb
	A new algorithm for automatic classification of power quality events based on wavelet transform and SVM [My Copy] Expert Systems with Applications (14 November 2009) by Hüseyin Erişti,, Yakup Demir, posted by 1 person nico_trompiste
	A new approach based on discrete hidden Markov model using Rocchio algorithm for the diagnosis of the brain diseases [My Copy] Digital Signal Processing (10 November 2009) by Harun Uğuz,, Ahmet Arslan, posted by 1 person nico_trompiste
	A dynamic bayesian network to represent discrete duration models [My Copy] Neurocomputing (10 November 2009) by Roland Donat, Philippe Leray, Laurent Bouillaut, Patrice Aknin posted by 1 person nico_trompiste
	An adaptive Kalman filtering based State of Charge combined estimator for electric vehicle battery pack [My Copy] Energy Conversion and Management, Vol. 50, No. 12. (23 December 2009), pp. 3182-3186. by Wang Junping,, Guo Jingang,, Ding Lei, posted by 1 person nico_trompiste
	A review of process fault detection and diagnosis Part III: Process history based methods [My Copy] Computers & Chemical Engineering, Vol. 27, No. 3. (15 March 2003), pp. 327-346. by V Venkatasubramanian, posted by 1 person nico_trompiste
	An Introduction to the Kalman Filter [My Copy] (1995) by Greg Welch, Gary Bishop posted by 4 people ianhales Viperus Gorzomagnificent etidey
	Topic segmentation with an aspect hidden Markov model [My Copy] In SIGIR '01: Proceedings of the 24th annual international ACM SIGIR conference on Research and development in information retrieval (2001), pp. 343-348. by David M. Blei, Pedro J. Moreno posted by 3 people zhengyun nico_trompiste zzb3886
	Battery energy storage technology for power systems—An overview [My Copy] Electric Power Systems Research, Vol. 79, No. 4. (April 2009), pp. 511-520. by K. C. Divya, Jacob Østergaard posted by 2 people nico_trompiste khahlert
	Independent Factor Analysis [My Copy] Neural Computation, Vol. 11 (1999), pp. 803-851. by H. Attias posted by 2 people nico_trompiste zzb3886
	Markov Random Fields and Their Applications (Contemporary Mathematics ; V. 1) [My Copy] by Ross Kindermann posted by 1 person gixgax
	Semi-Supervised Support Vector Machines [My Copy] In Advances in Neural Information Processing Systems, Vol. 11 (1998), pp. 368-374. by Kristin P. Bennett, Ayhan Demiriz posted by 1 person nico_trompiste
	Bagging, Boosting, and C4.5 [My Copy] In In Proceedings of the Thirteenth National Conference on Artificial Intelligence (1996), pp. 725-730. by J. R. Quinlan posted by 2 people nico_trompiste jrcoffi
	The Boosting Approach to Machine Learning: An Overview [My Copy] (2002) by Robert E. Schapire posted by 5 people nico_trompiste fercosber cyberwulf mzabidi hr0nix
	Boosting Support Vector Machines for Imbalanced Data Sets [My Copy] Foundations of Intelligent Systems In Foundations of Intelligent Systems, Vol. 4994 (2008), pp. 38-47. by Benjamin Wang, Nathalie Japkowicz edited by Aijun An, Stan Matwin, Zbigniew W. Raś, Dominik Ślęzak posted by 3 people nico_trompiste sdvillal AbnerCYH
	A framework to practical predictive maintenance modeling for multi-state systems [My Copy] Reliability Engineering & System Safety, Vol. 93, No. 8. (August 2008), pp. 1138-1150. by Ming, Nagarajan Raghavan posted by 2 people nico_trompiste srajan_ms
	Extended Kalman filtering for battery management systems of LiPB-based HEV battery packsPart 1. Background [My Copy] Journal of Power Sources, Vol. 134, No. 2. (12 August 2004), pp. 252-261. by G PLETT, posted by 2 people nico_trompiste tdgs
	An introduction to graphical models [My Copy] (2001) by K. Murphy posted by 4 people nico_trompiste Borelli wnpx dedrop
	An overall model for maintenance optimization [My Copy] Reliability Engineering & System Safety In Maintenance and reliability, Vol. 51, No. 3. (March 1996), pp. 241-257. by Jorn Vatn, Per Hokstad, Lars Bodsberg posted by 2 people nico_trompiste wasteland93
	A Tutorial on Support Vector Machines for Pattern Recognition [My Copy] Data Mining and Knowledge Discovery, Vol. 2, No. 2. (1 June 1998), pp. 121-167. by Christopher J. C. Burges posted by 16 people nico_trompiste yeminjiao db344 eitanla1 robertlischke joelh zoop AbnerCYH drivard kgajos Mohan-S LIVIA tgyork vlachmore dcastro asterix77
	A tutorial on hidden Markov models and selected applications in speech recognition [My Copy] Proceedings of the IEEE In Proceedings of the IEEE, Vol. 77, No. 2. (06 August 2002), pp. 257-286. by L. R. Rabiner posted by 65 people brunonery nico_trompiste cpeters amoreno bklynbam ianhales pascanur mtecha roys wasteland93 tkollar searchingspeech2010 matjes mthomure hawkes db344 ashleygeorge rodri mhp0814 yonatanf gkoenig muraken robotact albert_swart gulkur MiGen Project sergut ppeeling alexr pcahan1 mdhussein mcastillo daveh neveaire pool007 gonza_bp takahi jford neilc pratap bcroy tkravitz dominikschmidt sancho Alice2Nice zeppe karthik_ravikanti poluxmoon sachina maxp Autoregulation Biostatistics Computational-Genomics Bioinformatics Neuroscience MAML tgyork asterix77 yangxian ulmer julianpan rlichten wenhan huangsong tdahl
	LIBSVM: a Library for Support Vector Machines (Version 2.31) [My Copy] by Chih-Chung Chang, Chih-Jen Lin posted by 14 people nico_trompiste tlow filippone shrikondra gyuli kaarsinogen grzegorz chad_davis craigtalbert zoop bundschu doubleshow generif_paper vlachmore
	Reinforcement Learning: An Introduction (Adaptive Computation and Machine Learning) [My Copy] (08 May 1998) by Richard S. Sutton, Andrew G. Barto posted by 30 people LTN nico_trompiste dowlingj ngoncalves cez_etc ddahlem pshenoy yarapavan robotact brian jerlich klouie oamg anoopsarkar creswick kmregan garyfeng mrkrause stain gonium nelmor awooga mzygmunt mak Glimcher_Lab ReadingLab bsilverthorn tdahl fbernardo lrozo
	Independent Component Analysis [My Copy] (01 May 2001) by Aapo Hyvarinen, Juha Karhunen, Erkki Oja posted by 16 people nico_trompiste fjanoos eddymier jelsas eme garyfeng metamerist sdvillal bigbossman pervane perfe ReadingLab astro brianmc fredguilloux ganeshrnaik
	Spectral Partitioning with Indefinite Kernels Using the Nyström Extension [My Copy] In ECCV '02: Proceedings of the 7th European Conference on Computer Vision-Part III (2002), pp. 531-542. by Serge Belongie, Charless Fowlkes, Fan Chung, Jitendra Malik posted by 1 person jung_dalglish
	Spectral grouping using the Nystrom method [My Copy] Transactions on Pattern Analysis and Machine Intelligence In Transactions on Pattern Analysis and Machine Intelligence, Vol. 26, No. 2. (2004), pp. 214-225. by C. Fowlkes, S. Belongie, F. Chung, J. Malik posted by 2 people mtepper jung_dalglish
	Stability and Generalization [My Copy] Journal of Machine Learning Research, Vol. 2 (March 2002), pp. 499-526. by Olivier Bousquet, André Elisseeff posted by 2 people jung_dalglish caramanis
	Marginal Fisher Analysis and Its Variants for Human Gait Recognition and Content- Based Image Retrieval [My Copy] Image Processing, IEEE Transactions on In Image Processing, IEEE Transactions on, Vol. 16, No. 11. (2007), pp. 2811-2821. by Dong Xu, Shuicheng Yan, Dacheng Tao, S. Lin, Hong-Jiang Zhang posted by 1 person jung_dalglish
	Local discriminant embedding and its variants [My Copy] Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on In Computer Vision and Pattern Recognition, 2005. CVPR 2005. IEEE Computer Society Conference on, Vol. 2 (2005), pp. 846-853 vol. 2. by Hwann-Tzong Chen, Huang-Wei Chang, Tyng-Luh Liu posted by 2 people jung_dalglish caicai
	Learning Spectral Clustering, With Application To Speech Separation [My Copy] Journal of Machine Learning Research, Vol. 7 (October 2006), pp. 1963-2001. by Francis R. Bach, Michael I. Jordan posted by 2 people jung_dalglish asterix77
	A tutorial on spectral clustering [My Copy] Statistics and Computing, Vol. 17, No. 4. (11 December 2007), pp. 395-416. by Ulrike von Luxburg posted by 11 people havr Graph based learning theus jonilaserson mapio zzb3886 erhanbas zeppe jung_dalglish pprett AbnerCYH
	A transductive framework of distance metric learning by spectral dimensionality reduction [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 513-520. by Fuxin Li, Jian Yang, Jue Wang posted by 1 person jung_dalglish
	Learning the kernel matrix in discriminant analysis via quadratically constrained quadratic programming [My Copy] In KDD '07: Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining (2007), pp. 854-863. by Jieping Ye, Shuiwang Ji, Jianhui Chen posted by 2 people teesid jung_dalglish
	Robust Euclidean embedding [My Copy] In ICML '06: Proceedings of the 23rd international conference on Machine learning (2006), pp. 169-176. by Lawrence Cayton, Sanjoy Dasgupta posted by 3 people babakap teesid jung_dalglish
	Optimal kernel selection in Kernel Fisher discriminant analysis [My Copy] In ICML '06: Proceedings of the 23rd international conference on Machine learning (2006), pp. 465-472. by Seung-Jean Kim, Alessandro Magnani, Stephen Boyd posted by 5 people awg2 memming eddymier teesid jung_dalglish
	A New Semidefinite Programming Bound for Indefinite Quadratic Forms Over a Simplex [My Copy] Journal of Global Optimization, Vol. 14, No. 4. (21 June 1999), pp. 357-364. by Ivo Nowak posted by 2 people teesid jung_dalglish
	Learning the kernel matrix by maximizing a KFD-based class separability criterion [My Copy] Pattern Recognition, Vol. 40, No. 7. (July 2007), pp. 2021-2028. by Dit-Yan Yeung, Hong Chang, Guang Dai posted by 3 people teesid jung_dalglish jccaicedo
	Optimal dimensionality of metric space for classification [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 1135-1142. by Wei Zhang, Xiangyang Xue, Zichen Sun, Yue-Fei Guo, Hong Lu posted by 3 people cholwich sdvillal jung_dalglish
	Information-theoretic metric learning [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 209-216. by Jason V. Davis, Brian Kulis, Prateek Jain, Suvrit Sra, Inderjit S. Dhillon posted by 5 people jekky sdvillal teesid jung_dalglish jsr
	Graph Embedding and Extensions: A General Framework for Dimensionality Reduction [My Copy] Pattern Analysis and Machine Intelligence, IEEE Transactions on, Vol. 29, No. 1. (2007), pp. 40-51. by Shuicheng Yan, Dong Xu, Benyu Zhang, Hong-Jiang Zhang, Qiang Yang, S. Lin posted by 6 people xtizon sdvillal zoop mdreid jung_dalglish Statistical Machine Learning
	Local Fisher discriminant analysis for supervised dimensionality reduction [My Copy] In ICML '06: Proceedings of the 23rd international conference on Machine learning (2006), pp. 905-912. by Masashi Sugiyama posted by 4 people babakap sdvillal teesid jung_dalglish
	Spectral Graph Theory (CBMS Regional Conference Series in Mathematics, No. 92) (Cbms Regional Conference Series in Mathematics) [My Copy] (06 February 1997) by Fan R. K. Chung posted by 13 people mtepper donade jekky BarrosH filippone sdvillal bigbossman CMU-HCII Blog_and_Wiki_Research automatic_summarization ASR jung_dalglish dragonrez
	A Global Geometric Framework for Nonlinear Dimensionality Reduction [My Copy] Science, Vol. 290, No. 5500. (22 December 2000), pp. 2319-2323. by J. B. Tenenbaum posted by 36 people deif pingmei seb1 Cavadini akuhn banus caicai klmoravec weiweiguo rramirezp babakap dcoates thefillm christofseiler qwermish egozi aufrank k12u yas metamerist yama_tah tag mthomure sdvillal dgront voiklis dwf ur-cls T_lab metric_embeddings ColDyn DavidSchulz teesid jung_dalglish mctor matjes
	Learning the Kernel Matrix with Semidefinite Programming [My Copy] J. Mach. Learn. Res., Vol. 5 (2004), pp. 27-72. by Gert R. G. Lanckriet, Nello Cristianini, Peter Bartlett, Laurent E. Ghaoui, Michael I. Jordan posted by 7 people awg2 ajbattle tmmurali Redrobot teesid jung_dalglish jccaicedo
	Convex Optimization [My Copy] (08 March 2004) by Stephen Boyd, Lieven Vandenberghe posted by 36 people zhengyun leisti CEhrler colass abellogin vgauthier gtdj thomast3 martinthesis sbarthelme Mnourian ansobol yaroslavvb gyuli dariusb joeionnojitsu pjliu BarrosH mh olethros sdvillal NeilInCanadia ngoncalves atbrew paulinus alexv Autonomous_Vehicles Networked_Control_Systems teesid jung_dalglish BrianTomasik gixgax daniel51 samedina chinkeong MarkEveritt
	The Elements of Statistical Learning [My Copy] (30 July 2003) by T. Hastie, R. Tibshirani, J. H. Friedman posted by 74 people zhengyun ulmer fjanoos azhdari LDA and dimension reduction techniques emailhy donnachie singhsh abellogin mahmoodr lop idlebrain makrehchi awarlau gabriprat gokopal alexeigor liamtoh333 amsantos minrmw brian eddymier roys akastrin robotact thefillm 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 CMU-HCII Blog_and_Wiki_Research automatic_summarization ReadingLab ur-cls ASR EvolutionaryComputation Metaheuristics Optimization CSBBGraphTheory alfirk brianmc jung_dalglish dquercia blueskies Repton quianominorleo jaonary
	Random Projection, Margins, Kernels, and Feature-Selection [My Copy] Subspace, Latent Structure and Feature Selection (2006), pp. 52-68. by Avrim Blum posted by 4 people frank_lin m8j mahler cmoewes
	The False Dilemma: Bayesian vs. Frequentist [My Copy] (3 Apr 2008) by Jordi Vallverdú
	On Optimality Properties of the Shiryaev-Roberts Procedure [My Copy] (31 Oct 2007) by Moshe Pollak, Alexander G. Tartakovsky posted by 1 person zheaton
	Asymptotic Optimality in Bayesian Change-Point Detection Problems Under Global False Alarm Probability Constraint [My Copy] (16 Sep 2006) by Alexander G. Tartakovsky posted by 1 person zheaton
	A real-time system for detecting moving point target in low SNR image sequences [My Copy] Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on In Intelligent Processing Systems, 1997. ICIPS '97. 1997 IEEE International Conference on, Vol. 2 (1997), pp. 1005-1008 vol.2. by Z. Qian, X. H. Liu, J. G. Li posted by 1 person zheaton
	Adaptive Optical Target Detection Using Correlated Images [My Copy] Aerospace and Electronic Systems, IEEE Transactions on In Aerospace and Electronic Systems, IEEE Transactions on, Vol. AES-21, No. 3. (1985), pp. 394-405. by A. Margalit, I. S. Reed, R. M. Gagliardi posted by 1 person zheaton
	Optical moving target detection with 3-D matched filtering [My Copy] Aerospace and Electronic Systems, IEEE Transactions on In Aerospace and Electronic Systems, IEEE Transactions on, Vol. 24, No. 4. (1988), pp. 327-336. by I. S. Reed, R. M. Gagliardi, L. B. Stotts posted by 1 person zheaton
	In Neural Computation, 3, pages 79-87. Adaptive Mixtures of Local Experts [My Copy] by Robert A. Jacobs, Michael I. Jordan, Steven J. Nowlan, Geoffrey E. Hinton posted by 2 people zheaton DavidSchulz
	Adaptive Elastic Models for Hand-Printed Character Recognition [My Copy] In Advances in Neural Information Processing Systems, Vol. 4 (1992), pp. 512-519. by Geoffrey E. Hinton, Christophe K. I. Williams, Michael D. Revow edited by John E. Moody, Steve J. Hanson, Richard P. Lippmann posted by 2 people zheaton frankpreiswerk
	A recursive moving-target-indication algorithm for optical image sequences [My Copy] Aerospace and Electronic Systems, IEEE Transactions on In Aerospace and Electronic Systems, IEEE Transactions on, Vol. 26, No. 3. (1990), pp. 434-440. by I. S. Reed, R. M. Gagliardi, L. B. Stotts posted by 2 people zheaton cherrie
	Identification of Functional Information Subgraphs in Complex Networks [My Copy] Physical Review Letters, Vol. 100, No. 23. (2008) by Lu\is M. A. Bettencourt, Vadas Gintautas, Michael I. Ham posted by 5 people rsantana AbnerCYH zheaton stringertheory dpf
	Learning multiple layers of representation [My Copy] Trends in Cognitive Sciences, Vol. 11, No. 10. (October 2007), pp. 428-434. by Geoffrey E. Hinton posted by 5 people mcgrathm schumach zheaton stober sbarthelme
	Variational Learning for Switching State-Space Models [My Copy] Neural Comp., Vol. 12, No. 4. (1 April 2000), pp. 831-864. by Zoubin Ghahramani, Geoffrey E. Hinton posted by 2 people matjes zheaton
	Deep, Narrow Sigmoid Belief Networks Are Universal Approximators. [My Copy] Neural computation (5 June 2008) by Ilya Sutskever, Geoffrey E E. Hinton posted by 2 people zheaton sen_cheng
	Variational Learning for Switching State-Space Models [My Copy] Neural Computation, Vol. 12, No. 4. (2000), pp. 831-864. by Zoubin Ghahramani, Geoffrey E. Hinton posted by 4 people markusd davidr zheaton paulclinger
	Scene-based and viewer-centered representations for comparing shapes [My Copy] Cognition, Vol. 30, No. 1. (October 1988), pp. 1-35. by Geoffrey E. Hinton, Lawrence M. Parsons posted by 2 people zheaton bhamcnil
	Minimizing description length in an unsupervised neural network [My Copy] (1997) by G. Hinton, R. Zemel posted by 2 people zheaton BrianTomasik
	Phoneme recognition using time-delay neural networks [My Copy] (1990), pp. 393-404. by Alexander Waibel, Toshiyuki Hanazawa, Geofrey Hinton, Kiyohiro Shikano, Kevin J. Lang posted by 2 people zheaton robotact
	A fast learning algorithm for deep belief nets [My Copy] Neural Comput., Vol. 18, No. 7. (July 2006), pp. 1527-1554. by Geoffrey E. Hinton, Simon Osindero, Yee W. Teh posted by 6 people zhengyun apcoates austincarp zheaton creswick robotact
	Connectionist learning procedures [My Copy] Artif. Intell., Vol. 40, No. 1-3. (1989), pp. 185-234. by G. E. Hinton posted by 2 people zheaton aarre
	Training products of experts by minimizing contrastive divergence [My Copy] (2000) by G. Hinton posted by 2 people zheaton markusd
	Generative models for discovering sparse distributed representations [My Copy] Philosophical Transactions of the Royal Society B: Biological Sciences, Vol. 352, No. 1358. (1997), pp. 1177-1190. by ,, Hinton posted by 2 people zheaton dwf
	A dual eigenvector condition for strong lumpability of Markov chains [My Copy] (10 Oct 2007) by Martin N. Jacobi, Olof Goernerup posted by 3 people ansobol mereacre zheaton
	Restricted Boltzmann machines for collaborative filtering [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 791-798. by Ruslan Salakhutdinov, Andriy Mnih, Geoffrey Hinton posted by 17 people panisson Resys clickstone nliu82 maximzhao imrchen dtsamis ChenxingYang bmichel austincarp zhanwei zheaton creswick lfriedl dwf danejensen Tobu
	Lesioning an attractor network: investigations of acquired dyslexia. [My Copy] Psychol Rev, Vol. 98, No. 1. (January 1991), pp. 74-95. by G. E. Hinton, T. Shallice posted by 5 people kapfelba bernardjb zheaton fpbattaglia PFC_LPPA
	Training Products of Experts by Maximizing Contrastive Likelihood [My Copy] (1999) by G. Hinton posted by 3 people zheaton bpacker vision-ng
	Training Products of Experts by Minimizing Contrastive Divergence [My Copy] Neural Comp., Vol. 14, No. 8. (1 August 2002), pp. 1771-1800. by Geoffrey E. Hinton posted by 4 people zheaton bpacker zeppe vision-ng
	Phoneme recognition using time-delay neural networks [My Copy] Acoustics, Speech and Signal Processing, IEEE Transactions on, Vol. 37, No. 3. (06 August 2002), pp. 328-339. by A. Waibel, T. Hanazawa, G. Hinton, K. Shikano, K. J. Lang posted by 4 people asterix77 zheaton rodrhern uchile_int_computacional