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	POS tags and decision trees for language modeling [My Copy] In In Proceedings of the Joint SIGDAT Conference on Empirical Methods in Natural Language Processing and Very Large Corpora (1999), pp. 129-137. by Peter A. Heeman posted to 22 bayesian machine_learning nlp sequence_models by robotact on 2009-01-08 02:24:53 as
	Backoff hierarchical class n-gram language models: effectiveness to model unseen events in speech recognition [My Copy] Computer Speech & Language, Vol. 21, No. 1. (January 2007), pp. 88-104. by I. Zitouni posted to clustering machine_learning nlp sequence_models by robotact on 2009-01-08 01:59:44 as
	A Scalable Hierarchical Distributed Language Model [My Copy] (2008) by A. Mnih, G. Hinton posted to 22 clustering machine_learning nlp sequence_models by robotact on 2008-12-09 13:21:53 as
	On-line Algorithms in Machine Learning [My Copy] In Developments from a June 1996 seminar on Online algorithms (1998), pp. 306-325. by Avrim Blum posted to machine_learning online_learning by robotact on 2008-11-13 10:40:26 as along with 1 person scis0000001
	Statistical Learning Theory: Models, Concepts, and Results [My Copy] (27 Oct 2008) by Ulrike von Luxburg, Bernhard Schoelkopf posted to machine_learning tutorial by robotact on 2008-10-28 08:10:02 as along with 4 people and 1 group arsyed mdreid ansobol dah Statistical Machine Learning
	An Information Geometric Framework for Dimensionality Reduction [My Copy] (29 Sep 2008) by Kevin M. Carter, Raviv Raich, Alfred posted to dimentionality_reduction information_theory machine_learning by robotact on 2008-09-30 10:15:53 as along with 1 person jleny
	Surrogate Learning - An Approach for Semi-Supervised Classification [My Copy] (26 Sep 2008) by Sriharsha Veeramachaneni, Ravikumar Kondadadi posted to machine_learning semi_supervised by robotact on 2008-09-29 19:44:27 as
	Exploring Large Feature Spaces with Hierarchical Multiple Kernel Learning [My Copy] (9 Sep 2008) by Francis Bach posted to machine_learning by robotact on 2008-09-11 07:45:00 as along with 2 people jleny nojhan
	Introduction to Machine Learning (Adaptive Computation and Machine Learning) [My Copy] (01 October 2004) by Ethem Alpaydin posted to machine_learning textbooks by robotact on 2008-08-14 17:43:58 as along with 10 people and 3 groups ilyashl jorritschippers pdlug sb-3000 ryanshaw smallbadguy rhino158 jliegl quianominorleo balicea 18th-century_history_culture_and_society sims_phd_cohort_2005 digital_youth
	A tutorial on learning with Bayesian networks [My Copy] In Proceedings of the NATO Advanced Study Institute on Learning in graphical models (1998), pp. 301-354. by David Heckerman posted to 22 bayesian bayesian_networks machine_learning tutorial by robotact on 2008-08-12 21:23:16 as
	Ranking Categorical Features Using Generalization Properties [My Copy] Journal of Machine Learning Research, Vol. 9 (June 2008), pp. 1083-1114. by Sivan Sabato, Shai Shalev-Shwartz posted to machine_learning by robotact on 2008-07-31 23:57:23 as
	Learning Similarity with Operator-valued Large-margin Classifiers [My Copy] Journal of Machine Learning Research, Vol. 9 (June 2008), pp. 1049-1082. by Andreas Maurer posted to machine_learning maximum_margin by robotact on 2008-07-31 23:52:17 as
	Sparse Online Learning via Truncated Gradient [My Copy] (28 Jun 2008) by John Langford, Lihong Li, Tong Zhang posted to machine_learning online_learning by robotact on 2008-07-01 05:16:06 as
	Online learning with kernels [My Copy] Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on] In Signal Processing, IEEE Transactions on [see also Acoustics, Speech, and Signal Processing, IEEE Transactions on], Vol. 52, No. 8. (2004), pp. 2165-2176. by J. Kivinen, A. J. Smola, R. C. Williamson posted to machine_learning maximum_margin online_learning by robotact on 2008-06-06 22:07:30 as along with 4 people eddymier meozbek cmoewes pcarbo
	Maximum Margin Bayesian Networks [My Copy] In Proceedings of the 21th Annual Conference on Uncertainty in Artificial Intelligence (UAI-05) (2005), pp. 233-242. by Yuhong Guo, Dana Wilkinson, Dale Schuurmans posted to bayesian_networks machine_learning maximum_margin by robotact on 2008-06-06 21:11:44 as
	Maximum margin clustering [My Copy] In Advances in Neural Information Processing Systems (NIPS 2004) (2004) by L. Xu, J. Neufeld, B. Larson, D. Schuurmans posted to clustering machine_learning maximum_margin by robotact on 2008-06-06 21:01:24 as
	Maximum margin clustering made practical [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 1119-1126. by Kai Zhang, Ivor W. Tsang, James T. Kwok posted to clustering machine_learning maximum_margin by robotact on 2008-06-06 20:52:21 as along with 1 person sdvillal
	A new approximate maximal margin classification algorithm [My Copy] J. Mach. Learn. Res., Vol. 2 (2002), pp. 213-242. by Claudio Gentile posted to machine_learning maximum_margin online_learning by robotact on 2008-06-06 20:17:32 as
	The Relaxed Online Maximum Margin Algorithm [My Copy] Mach. Learn., Vol. 46, No. 1-3. (1 January 2002), pp. 361-387. by Yi Li, Philip M. Long posted to 22 machine_learning maximum_margin online_learning by robotact on 2008-06-02 20:13:44 as along with 1 person jorgeac
	A short introduction to boosting [My Copy] (1999) by Y. Freund, R. Schapire posted to 333 boosting machine_learning by robotact on 2008-06-02 20:10:23 as along with 11 people and 1 group Gorzomagnificent teichman zhengliu cyberwulf mzabidi arafalov wowbagger jread82 telnet2 egibaja matjes Boosting
	The recurrent cascade-correlation architecture [My Copy] In NIPS-3: Proceedings of the 1990 conference on Advances in neural information processing systems 3 (1990), pp. 190-196. by Scott E. Fahlman posted to incremental_networks machine_learning neural_networks recurrent_networks by robotact on 2008-05-22 12:23:38 as
	The cascade-correlation learning architecture [My Copy] (1990), pp. 524-532. by Scott E. Fahlman, Christian Lebiere posted to 22 incremental_networks machine_learning neural_networks seminal by robotact on 2008-05-22 12:14:34 as
	The Margitron: A Generalised Perceptron with Margin [My Copy] (18 May 2008) by Constantinos Panagiotakopoulos, Petroula Tsampouka posted to 22 machine_learning maximum_margin online_learning by robotact on 2008-05-20 08:21:31 as along with 1 person jorgeac
	Learning Low-Density Separators [My Copy] (19 May 2008) by Shai Ben-David, Tyler Lu, David Pal, Miroslava Sotakova posted to machine_learning unsupervised_learning by robotact on 2008-05-20 08:18:03 as along with 2 people and 1 group sugarexpletive mdreid Statistical Machine Learning
	A Tutorial on Support Vector Machines for Pattern Recognition [My Copy] Data Min. Knowl. Discov., Vol. 2, No. 2. (June 1998), pp. 121-167. by Christopher J. C. Burges posted to 333 machine_learning maximum_margin svm tutorial by robotact on 2008-05-12 20:19:57 as
	Spectral Methods for Linear and Non-Linear Semi-Supervised Dimensionality Reduction [My Copy] (6 Apr 2008) by Ratthachat Chatpatanasiri posted to clustering machine_learning by robotact on 2008-04-08 07:13:42 as along with 1 person sugarexpletive
	A Tutorial on Conformal Prediction [My Copy] Journal of Machine Learning Research, Vol. 9 (March 2008), pp. 371-421. by Glenn Shafer, Vladimir Vovk posted to machine_learning prediction by robotact on 2008-03-25 20:10:39 as along with 3 people and 1 group jjrodriguez vlachmore mdreid Statistical Machine Learning
	Generalization from Observed to Unobserved Features by Clustering [My Copy] Journal of Machine Learning Research, Vol. 9 (March 2008), pp. 339-370. by Eyal Krupka, Naftali Tishby posted to clustering deep_networks machine_learning by robotact on 2008-03-25 20:06:56 as along with 3 people slygent jjrodriguez sdvillal
	An Introduction to MCMC for Machine Learning [My Copy] Machine Learning, Vol. 50, No. 1. (1 January 2003), pp. 5-43. by Christophe Andrieu, Nando de Freitas, Arnaud Doucet, Michael I. Jordan posted to 22 machine_learning monte_carlo by robotact on 2008-03-20 20:53:30 as along with 15 people and 1 group dakelley mthomure hgfernan xuzhe83 pqnga phil511 pdlug ldietz mshafiei wasteland93 bhaddow dowlingj markusd kozaki delip Forest inventory and monitoring
	Scaling learning algorithms towards AI [My Copy] In Large-Scale Kernel Machines (2007) by Yoshua Bengio, Yann Lecun edited by L. Bottou, O. Chapelle, D. Decoste, J. Weston posted to 22 agi deep_networks machine_learning by robotact on 2008-03-20 00:27:45 as along with 1 person Dukhat
	A framework for simultaneous co-clustering and learning from complex data [My Copy] In KDD '07: Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining (2007), pp. 250-259. by Meghana Deodhar, Joydeep Ghosh posted to clustering machine_learning by robotact on 2008-03-13 22:24:05 as along with 1 person zhengyun
	A Tutorial on Spectral Clustering [My Copy] (1 Nov 2007) by Ulrike von Luxburg posted to clustering machine_learning tutorial by robotact on 2008-03-13 13:40:55 as along with 11 people theshadowhost babakap travieso ansobol euclid bigbossman kohei-h scorreia_pro Oksana teesid Hoertnagl
	A Unified View on Clustering Binary Data [My Copy] Machine Learning, Vol. 62, No. 3. (March 2006), pp. 199-215. by Tao Li posted to clustering machine_learning review by robotact on 2008-03-12 23:56:14 as along with 1 person ilyashl
	Pattern Recognition and Machine Learning (Information Science and Statistics) [My Copy] (01 October 2007) by Christopher M. Bishop posted to machine_learning textbooks by robotact on 2008-03-04 19:05:35 as along with 56 people and 6 groups pool007 euclid 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 thefillm stibor ppeeling yaroslavvb sdvillal nojhan gkvas paulinus ajylha helsley hawkes zeppe poluxmoon librain kohei-h brianmc napvasconcelos teesid Hoertnagl matjes eddymier delip markusd filippone singhsh ssomani pprett rwilliamson Dukhat Tracking Methods EvolutionaryComputation Metaheuristics Optimization contact-id MuSAMA
	Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond (Adaptive Computation and Machine Learning) [My Copy] (15 December 2001) by Bernhard Schlkopf, Alexander J. Smola posted to machine_learning textbooks by robotact on 2008-03-04 19:04:55 as along with 16 people and 2 groups MajorTomm lbustio vertikalist shrikondra inayatkh sbarthelme thefillm sdvillal AbnerCYH raiyar wenhan librain jung_dalglish singhsh ecome quianominorleo BTS-PT-AS-CS Medical Image Analysis and Visualization @ OSU
	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 to generative_networks incremental_networks machine_learning by robotact on 2008-03-02 20:45:13 as along with 5 people zhengyun apcoates austincarp zheaton creswick
	Cogent confabulation [My Copy] Neural Networks, Vol. 18, No. 2. (March 2005), pp. 111-115. by Robert Hecht-Nielsen posted to 1 agi concepts machine_learning by robotact on 2008-03-01 22:34:56 as
	Neuroevolution: from architectures to learning [My Copy] Evolutionary Intelligence by Dario Floreano, Peter Dürr, Claudio Mattiussi posted to genetic_algorithms incremental_networks machine_learning review by robotact on 2008-02-28 20:42:16 as along with 2 people rwebb mahmoodr
	Bayesian computation in recurrent neural circuits [My Copy] Neural Comput, Vol. 16, No. 1. (January 2004), pp. 1-38. by R. P. Rao posted to bayesian_networks machine_learning neuroscience by robotact on 2008-02-25 22:22:26 as along with 4 people yama_tah sbarthelme dcoates susannah
	Some competitive learning methods [My Copy] (1997) by B. Fritzke posted to incremental_networks machine_learning overview by robotact on 2008-02-25 22:18:09 as
	Hebbian Crosstalk Prevents Nonlinear Unsupervised Learning [My Copy] (21 Feb 2008) by Kingsley J. A. Cox, Paul R. Adams posted to hebbian_learning machine_learning neuroscience by robotact on 2008-02-22 16:19:20 as
	Information Theory, Inference & Learning Algorithms [My Copy] (15 June 2002) by David J. C. MacKay posted to bayesian information_theory machine_learning textbooks by robotact on 2008-02-03 01:34:02 as along with 64 people and 5 groups casutton ulmer derek_farn fjanoos flips Sergey_gerbek vgauthier foekenev gkatsi pjmaybank serebryakov mdengler jorgeac Fantozzi ARobson betting awarlau Adso dullhunk brian Maderlock alexzeh thefillm 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 Philosophy_of_Information Blog_and_Wiki_Research AssistiveTechnology inference-group ComplexAdaptiveSystems
	Toward Efficient Agnostic Learning [My Copy] In Computational Learing Theory (1992), pp. 341-352. by Michael J. Kearns, Robert E. Schapire, Linda Sellie posted to agnostic_learning machine_learning by robotact on 2008-02-02 18:17:58 as along with 1 person bsilverthorn
	Reinforcement Learning: An Introduction [My Copy] (01 March 1998) by Richard S. Sutton, Andrew G. Barto posted to machine_learning reinforcement_learning textbooks by robotact on 2008-02-02 18:07:53 as along with 26 people and 3 groups nico_trompiste dowlingj ngoncalves cez_etc ddahlem pshenoy yarapavan brian jerlich klouie oamg anoopsarkar creswick kmregan garyfeng mrkrause stain gonium nelmor awooga mzygmunt mak bsilverthorn tdahl fbernardo lrozo LTN Glimcher_Lab ReadingLab
	Predictive representations of state [My Copy] Advances in Neural Information Processing Systems, Vol. 14 (2002), pp. 1555-1561. by M. Littman, R. Sutton, S. Singh posted to machine_learning recurrent_networks by robotact on 2008-02-02 17:55:12 as along with 1 person bsilverthorn
	The Elements of Statistical Learning [My Copy] (30 July 2003) by T. Hastie, R. Tibshirani, J. H. Friedman posted to machine_learning textbooks by robotact on 2008-02-02 14:21:57 as along with 62 people and 11 groups zhengyun ulmer fjanoos azhdari emailhy donnachie singhsh abellogin mahmoodr lop idlebrain makrehchi awarlau gabriprat gokopal alexeigor liamtoh333 amsantos minrmw brian eddymier roys akastrin 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 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
	Machine Learning [My Copy] (01 March 1997) by Tom M. Mitchell posted to machine_learning textbooks by robotact on 2008-02-02 14:15:07 as along with 41 people and 4 groups pool007 gavin1332 gagliol pinventado q_w_e_r_t_y librain gabriprat gokopal fiacobelli bgibson zhanwei agogoh3 ogenex imrchen gr650 ianwelch frohike misovalko harperf lrozo pdlug yaroslavvb jelsas kmregan carueda jounih buescher76 mthomure hansjoergmueller brunomelo cerkut jvangael ajylha girschick zchen teesid dquercia jdu sfeige bundschu markusd TKU_CS DB Lab AI RiSE contact-id

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