Tag ml [at least 200 articles] Export

Recent papers classified by the tag ml.

	Prediction of interface residues in protein-protein complexes by a consensus neural network method: test against NMR data. [My Copy] Proteins. , Vol. 61, No. 1. (1 October 2005), pp. 21-35. by H. Chen, H. X. Zhou posted to predict ml docking complex coevolution by dfdong on 2009-11-04 03:23:02 as along with 2 people qluo karbak
	Improved residue contact prediction using support vector machines and a large feature set. [My Copy] BMC bioinformatics, Vol. 8 (02 April 2007), 113. by Jianlin Cheng, Pierre Baldi posted to predict ml contact by dfdong on 2009-11-04 02:40:56 as along with 3 people iaolier pjcite ndiaz
	Adaptive functional programming [My Copy] In POPL 2002 (2002), pp. 247-259. by Umut A. Acar, Guy E. Blelloch, Robert Harper posted to submit-incremental ml incremental functional-programming algorithms adaptive by spl on 2009-11-03 16:47:43 as
	Machine Learning and Its Applications to Biology [My Copy] PLoS Comput Biol, Vol. 3, No. 6. (29 June 2007), e116. by Adi L. Tarca, Vincent J. Carey, Xue-wen Chen, Roberto Romero, Sorin Drăghici posted to readlater ml biology by colm on 2009-11-03 12:58:18 as along with 14 people and 3 groups rwst winterschlaefer svozil aviad_work druvus giovenko Borelli skhadar julius cjeans asddd ciga nklee kmdaily Bioinformatics SysbioMPI-TCells Computational_Information_Geometry
	A Primer on Learning in Bayesian Networks for Computational Biology [My Copy] PLoS Comput Biol, Vol. 3, No. 8. (31 August 2007), e129. by Chris J. Needham, James R. Bradford, Andrew J. Bulpitt, David R. Westhead posted to readlater ml bayesian_networks by colm on 2009-11-03 12:58:08 as along with 17 people and 1 group abhishek_tiwari kshameer tonamswish Borelli toerst aviad_work druvus giovenko jo_davies balicea macle GeeSharpMinor firoozye sobolevnrm bmaust kmdaily schelhorn baker-group
	An Applicative Control-Flow Graph Based on Huet's Zipper [My Copy] Electronic Notes in Theoretical Computer Science In Proceedings of the ACM-SIGPLAN Workshop on ML (ML 2005), Vol. 148, No. 2. (24 March 2006), pp. 105-126. by Norman Ramsey, Joao Dias posted to optimization ml compilers by dankamongmen on 2009-10-29 06:32:05 as along with 3 people and 1 group robertjohnsimmons pedagand spl ConcertRG
	Learning a kernel matrix for nonlinear dimensionality reduction [My Copy] In ICML '04: Proceedings of the twenty-first international conference on Machine learning (2004), 106. by Kilian Q. Weinberger, Fei Sha, Lawrence K. Saul posted to sdp ml by stober on 2009-10-23 20:35:58 as along with 5 people and 1 group awg2 amargoli bpacker sdvillal jccaicedo vision-ng
	Unsupervised Learning of Image Manifolds by Semidefinite Programming [My Copy] International Journal of Computer Vision, Vol. 70, No. 1. (1 October 2006), pp. 77-90. by Kilian Weinberger, Lawrence Saul posted to sdp ml by stober on 2009-10-23 20:31:35 as along with 7 people jzujovic babakap yairgo haidai sdvillal singhsh mctor
	Sentiment analysis of blogs by combining lexical knowledge with text classification [My Copy] In KDD '09: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining (2009), pp. 1275-1284. by Prem Melville, Wojciech Gryc, Richard D. Lawrence posted to sentiment pooling multinomials ml knowledge domain blogs analysis by pprett on 2009-10-21 09:47:24 as along with 1 person nliu82
	Map-Reduce for Machine Learning on Multicore [My Copy] In NIPS (2006), pp. 281-288. by Cheng T. Chu, Sang K. Kim, Yi A. Lin, et al.Yuanyuan Yu, Gary R. Bradski, Andrew Y. Ng, Kunle Olukotun edited by Bernhard Schölkopf, John C. Platt, Thomas Hoffman posted to ml mapreduce mahout large-scale by pprett to the group large-scale-ml on 2009-10-21 09:34:09 as along with 27 people Jingbo jweslley nlong zhaomin nliu82 mpotamias conservatism pwais dmeister klatifch eddymier daniel51 jahwa myui sdvillal wentrue euclid jjrodriguez nojhan donade agulli zzztimbo bhaddow takeha-e zakk0610 coleslaw amatos
	Type Safe Extensible Programming [My Copy] (14 Oct 2009) by Wonseok Chae posted to ml languages functional computation by jrw on 2009-10-19 00:38:44 as
	BayesCall: A model-based base-calling algorithm for high-throughput short-read sequencing [My Copy] Genome Research, Vol. 19, No. 10. (6 October 2009), pp. 1884-1895. by Wei-Chun Kao, Kristian Stevens, Yun S. Song posted to sequencing ml illumina genotype by lp2 on 2009-10-09 09:54:51 as along with 12 people and 2 groups dakelley megraw rdiaz torfinnnome djkt n00c farhat druvus polivares stajich fpattyn jbhiatt BergmanLab Mycology
	From disease association to risk assessment: an optimistic view from genome-wide association studies on type 1 diabetes. [My Copy] PLoS genetics, Vol. 5, No. 10. (9 October 2009), e1000678. by Zhi Wei, Kai Wang, Hui-Qi Q. Qu, et al.Haitao Zhang, Jonathan Bradfield, Cecilia Kim, Edward Frackleton, Cuiping Hou, Joseph T. Glessner, Rosetta Chiavacci, Charles Stanley, Dimitri Monos, Struan F. Grant, Constantin Polychronakos, Hakon Hakonarson posted to ml genetics association by lp2 on 2009-10-09 09:43:58 as along with 2 people ptrobajo rdiaz
	Toward Efficient Agnostic Learning [My Copy] Machine Learning, Vol. 17, No. 2. (21 June 1994), pp. 115-141. by Michael J. Kearns, Robert E. Schapire, Linda M. Sellie posted to theory ml by stober on 2009-09-24 22:42:41 as
	Maximum likelihood genome assembly. [My Copy] Journal of computational biology : a journal of computational molecular cell biology, Vol. 16, No. 8. (August 2009), pp. 1101-1116. by Paul Medvedev, Michael Brudno posted to ml genomics assembly by nuin on 2009-09-22 14:48:12 as along with 7 people dakelley walshtp djkt n00c natstreet druvus operon
	Recursion and dynamic data-structures in bounded space: towards embedded ML programming [My Copy] In ICFP '99: Proceedings of the fourth ACM SIGPLAN international conference on Functional programming (1999), pp. 70-81. by John Hughes, Lars Pareto posted to system-programming region-memory ml memory-management embedded by pedagand on 2009-09-21 20:28:24 as
	Stochastic Gradient Descent Training for L1-regularized Log-linear Models with Cumulative Penalty [My Copy] In Proceedings of the Joint Conference of the 47th Annual Meeting of the ACL and the 4th International Joint Conference on Natural Language Processing of the AFNLP (August 2009), pp. 477-485. by Yoshimasa Tsuruoka, Jun'ichi Tsujii, Sophia Ananiadou posted to sgd models ml linear lasso l1 by pprett on 2009-09-21 10:28:35 as along with 1 person markusd
	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 training ml machine learning classification by katja on 2009-09-18 15:20:30 as along with 11 people holopoj thefillm jhe bsilverthorn bfraser amargoli sids vlachmore jccaicedo sithmein eddymier
	Distance metric learning for large margin nearest neighbor classification [My Copy] In In NIPS (2006), pp. 1473-1480. by Kilian Q. Weinberger, John Blitzer, Lawrence K. Saul posted to ml-nips ml by idlebrain on 2009-09-16 01:36:28 as along with 1 person babakap
	On-Line Algorithms in Machine Learning [My Copy] In In Proceedings of the Workshop on On-Line Algorithms, Dagstuhl, Vol. 50 (1996), pp. 306-325. by Avrim Blum posted to ml-online ml by idlebrain on 2009-09-16 01:00:47 as along with 1 person christiand
	Weighted Sums of Random Kitchen Sinks: Replacing minimization with randomization in learning [My Copy] In NIPS (2008), pp. 1313-1320. by Ali Rahimi, Benjamin Recht edited by Daphne Koller, Dale Schuurmans, Yoshua Bengio, et al.Léon Bottou, Daphne Koller, Dale Schuurmans, Yoshua Bengio, Léon Bottou posted to ml-random ml by idlebrain on 2009-09-16 00:59:51 as along with 1 person liefengbo
	On Discriminative vs. Generative classifiers: A comparison of logistic regression and naive Bayes [My Copy] (2001) by Andrew Y. Ng, Michael I. Jordan posted to ml-genvsdisc ml by idlebrain on 2009-09-16 00:31:03 as along with 2 people zzb3886 vlachmore
	Improving Elevator Performance Using Reinforcement Learning [My Copy] In Advances in Neural Information Processing Systems 8, Vol. 8 (1996), pp. 1017-1023. by Robert Crites, Andrew Barto posted to rl ml by rwebb on 2009-09-11 10:09:41 as along with 1 person ddahlem
	The Effect of Ambiguous Data on Phylogenetic Estimates Obtained by Maximum Likelihood and Bayesian Inference [My Copy] Syst Biol, Vol. 58, No. 1. (1 February 2009), pp. 130-145. by Alan R. Lemmon, Jeremy M. Brown, Kathrin Stanger-Hall, Emily M. Lemmon posted to phylogenetics ml methods bayesian by skembel on 2009-09-10 19:45:19 as along with 2 people gjuggler ematsen
	Performance of maximum parsimony and likelihood phylogenetics when evolution is heterogeneous [My Copy] Nature, Vol. 431, No. 7011. (21 October 2004), pp. 980-984. by Bryan Kolaczkowski, Joseph W. Thornton posted to phylogenetics mp ml methods by skembel on 2009-09-10 19:42:46 as along with 2 people aprasad tale
	Reliability of Cross-Validation for SVMs in High-Dimensional, Low Sample Size Scenarios [My Copy] Artificial Neural Networks - ICANN 2008 In ICANN '08: Proceedings of the 18th international conference on Artificial Neural Networks, Part I (2008), pp. 41-50. by Sascha Klement, Amir Madany Mamlouk, Thomas Martinetz posted to svm optimization ml machine learning by katja to the group ilps on 2009-09-04 14:11:24 as
	Multiple instance learning for sparse positive bags [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 105-112. by Razvan C. Bunescu, Raymond J. Mooney posted to ml mil by stober on 2009-09-03 18:33:30 as along with 1 person SteveScher
	Polynomial-based maximum-likelihood technique for synchronization in digital receivers [My Copy] Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on In Circuits and Systems II: Analog and Digital Signal Processing, IEEE Transactions on, Vol. 49, No. 8. (2002), pp. 567-576. by R. Hamila, J. Vesma, M. Renfors posted to synchronisation receiver ml digital by dcastro on 2009-08-27 11:18:18 as
	WebSail: From On-line Learning to Web Search [My Copy] Knowledge and Information Systems, Vol. 4, No. 2. (20 April 2002), pp. 219-227. by Zhixiang Chen, Xiannong Meng, Binhai Zhu, Richard H. Fowler posted to ml adaptive-search by brusilovsky to the group Adaptive-Web on 2009-08-14 20:10:54 as along with 1 person tapsis
	Improved DC and RF performance of AlGaN/GaN HEMTs grown by MOCVD on sapphire substrates [My Copy] Solid-State Electronics, Vol. 49, No. 8. (August 2005), pp. 1387-1390. by X. Wang, C. Wang, G. Hu, et al.J. Wang, T. Chen, G. Jiao, J. Li, Y. Zeng, J. Li posted to ml by Nitrides-TL-NTU on 2009-08-12 13:54:46 as
	X-ray diffraction study of AlN/AlGaN short period superlattices [My Copy] Journal of Applied Physics, Vol. 102, No. 11. (2007), 114909. by A. Chandolu, S. Nikishin, M. Holtz, H. Temkin posted to ml by Nitrides-TL-NTU on 2009-08-07 02:55:24 as
	Functional Pearls: Efficient sets -- a balancing act [My Copy] J. of Functional Programming, Vol. 3, No. 04. (1993), pp. 553-561. by Stephen Adams posted to trees submit-incremental set-theory ml functional-programming data-structures by spl on 2009-07-22 14:02:37 as
	A critical assessment of Mus musculus gene function prediction using integrated genomic evidence [My Copy] Genome Biology, Vol. 9, No. Suppl 1. (2008), S2. by Lourdes P. Castillo, Murat Tasan, Chad Myers, et al.Hyunju Lee, Trupti Joshi, Chao Zhang, Yuanfang Guan, Michele Leone, Andrea Pagnani, Wan Kim, Chase Krumpelman, Weidong Tian, Guillaume Obozinski, Yanjun Qi, Sara Mostafavi, Guan Lin, Gabriel Berriz, Francis Gibbons, Gert Lanckriet, Jian Qiu, Charles Grant, Zafer Barutcuoglu, David Hill, David W. Farley, Chris Grouios, Debajyoti Ray, Judith Blake, Minghua Deng, Michael Jordan, William Noble, Quaid Morris, Judith K. Seetharaman, Ziv B. Joseph, Ting Chen, Fengzhu Sun, Olga Troyanskaya, Edward Marcotte, Dong Xu, Timothy Hughes, Frederick Roth posted to function_prediction ml survey by saket on 2009-07-20 22:01:26 as along with 6 people phoenixzxl carlk kgutwin ptrobajo guhjy aconesa
	A Comparative Study of Language Support for Generic Programming [My Copy] (2003) by Ronald Garcia, Jaakko Järvi, Andrew Lumsdaine, Jeremy Siek, Jeremiah Willcock posted to cxx devel generic haskell java ml ocaml polymorphism by vlasovskikh on 2009-07-13 22:15:55 as along with 2 people incubos serebryakov
	Principal type-schemes for functional programs [My Copy] In POPL '82: Proceedings of the 9th ACM SIGPLAN-SIGACT Symposium on Principles of Programming Languages (1982), pp. 207-212. by Luis Damas, Robin Milner posted to damas-milner ml type-inference type-theory by mattmight on 2009-07-11 23:56:32 as along with 9 people ddemange keigoi spl draganigajic tautologico gkuan shimomura pedagand zuleger
	A decision-theoretic generalization of on-line learning and an application to boosting [My Copy] In EuroCOLT '95: Proceedings of the Second European Conference on Computational Learning Theory (1995), pp. 23-37. by Yoav Freund, Robert E. Schapire posted to classification ml by eegilbert on 2009-06-30 16:00:38 as along with 2 people santi515 Scis0000002
	Learning more about active learning [My Copy] Commun. ACM, Vol. 52, No. 4. (2009), pp. 11-13. by Graeme S. Morlock posted to ml survey by sugarexpletive on 2009-06-30 11:11:29 as along with 1 person nliu82
	Standard ML of New Jersey [My Copy] In Proceedings of the Third International Symposium on Programming Language Implementation and Logic Programming, No. 528. (1991), pp. 1-13. by Andrew W. Appel, David B. Macqueen edited by J. Maluszynski, M. Wirsing posted to ml sml by mattmight on 2009-06-20 03:48:31 as along with 1 person funing
	The Definition of Standard ML - Revised [My Copy] (15 May 1997) by Robin Milner, Mads Tofte, Robert Harper, David Macqueen posted to ml sml specification by mattmight on 2009-06-20 03:44:09 as along with 4 people and 1 group samth bringert gkuan jasmithoffice NU-PRL
	A theory of type polymorphism in programming [My Copy] Journal of Computer and System Sciences, Vol. 17, No. 3. (December 1978), pp. 348-375. by Robin Milner posted to ml type-theory by mattmight on 2009-06-20 02:47:05 as along with 6 people amp269 jkominek tautologico lyongu calvins shimomura
	Learning Discriminative Feature Transforms to Low Dimensions in Low Dimensions [My Copy] In In Advances in neural information processing systems 14 (2001), pp. 3-8. by Kari Torkkola posted to feature-learning ml by noandrews on 2009-05-31 07:12:18 as
	A Generalized Moments Estimator for the Autoregressive Parameter in a Spatial Model [My Copy] International Economic Review, Vol. 40, No. 2. (1999), pp. 509-533. by Harry H. Kelejian, Ingmar R. Prucha posted to autoregressive econometrics estimator generalized gls ml model moments nls spatial by plm on 2009-05-26 12:42:05 as
	On the semantics of unified modeling language diagrams using Z notation [My Copy] Int. J. Intell. Syst., Vol. 19, No. 1-2. (2004), pp. 79-88. by Ekawit Nantajeewarawat, Ratanachai Sombatsrisomboon posted to formal ml by paulampkelly on 2009-05-20 14:58:13 as
	Markov Decision Processes: Discrete Stochastic Dynamic Programming (Wiley Series in Probability and Statistics) [My Copy] (03 March 2005) by Martin L. Puterman posted to book ml puerman by shervin on 2009-05-13 02:20:20 as
	Latent variable models for neural data analysis [My Copy] (1999) by Maneesh Sahani posted to ml spike_sorting by gilja on 2009-05-07 03:27:01 as along with 1 person dcoates
	Sequential Monte Carlo Methods in Practice (Statistics for Engineering and Information Science) [My Copy] (21 June 2001) by Arnaud Doucet, Nando Defreitas, Neil Gordon posted to ml by gilja on 2009-05-06 23:48:32 as along with 6 people thsant seanyuan kohei-h ppeeling rpadams Carles
	Maximum-likelihood estimation of phylogeny from DNA sequences when substitution rates differ over sites. [My Copy] Mol Biol Evol, Vol. 10, No. 6. (November 1993), pp. 1396-1401. by Z. Yang posted to maximum-likelihood ml phylogeny by yonatanf on 2009-05-04 16:34:07 as along with 2 people bpb timflutre
	Maximum likelihood phylogenetic estimation from DNA sequences with variable rates over sites: Approximate methods [My Copy] Journal of Molecular Evolution, Vol. 39, No. 3. (1994), pp. 306-314. by Ziheng Yang posted to maximum-likelihood ml phylogeny by yonatanf on 2009-05-04 16:29:37 as along with 1 person CharlesM
	Inferring pattern and process: maximum-likelihood implementation of a nonhomogeneous model of DNA sequence evolution for phylogenetic analysis [My Copy] Mol Biol Evol, Vol. 15, No. 7. (1 July 1998), pp. 871-879. by N. Galtier, M. Gouy posted to acquisition maximum-likelihood ml phylogeny by yonatanf on 2009-05-04 16:25:21 as along with 2 people aprasad cjeans
	Classification algorithms for phenotype prediction in genomics and proteomics. [My Copy] Frontiers in bioscience : a journal and virtual library, Vol. 13 (2008), pp. 691-708. by Habtom W. Ressom, Rency S. Varghese, Zhen Zhang, Jianhua Xuan, Robert Clarke posted to bioinformatics classification feature_selection genomics ml pattern proteomics by svozil to the group Bioinformatics on 2009-04-30 16:52:56 as along with 6 people zufar bertelsen shikin akastrin guhjy giovenko

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Tag ml [at least 200 articles] Export

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