stharward's machine-learning [23 articles] Export Sort

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	Molecular Classification of Cancer: Unsupervised Self-Organizing Map Analysis of Gene Expression Microarray Data1 [My Copy] Molecular Cancer Therapeutics, Vol. 2, No. 3. (March 2003), pp. 317-332. by David G. Covell, Anders Wallqvist, Alfred A. Rabow, Narmada Thanki posted to som microarray machine-learning gene-expression cancer by stharward on 2009-12-11 19:41:25 as
	Computational methods for gene expression-based tumor classification. [My Copy] BioTechniques, Vol. 29, No. 6. (December 2000) by M. Xiong, L. Jin, W. Li, E. Boerwinkle posted to machine-learning gene-expression cancer by stharward on 2009-12-11 19:39:19 as
	Identifying Tumor Origin Using a Gene Expression-based Classification Map [My Copy] Cancer Res, Vol. 63, No. 14. (15 July 2003), pp. 4144-4149. by Phillip Buckhaults, Zhen Zhang, Yu-Chi Chen, et al.Tian-Li Wang, Brad St. Croix, Saurabh Saha, Alberto Bardelli, Patrice J. Morin, Kornelia Polyak, Ralph H. Hruban, Victor E. Velculescu, Ie-Ming Shih posted to sage quantitative-pcr machine-learning cancer by stharward on 2009-12-11 19:33:50 as
	Molecular surface recognition by a computer vision-based technique [My Copy] Protein Eng In Protein Eng., Vol. 7, No. 1. (1 January 1994), pp. 39-46. by Raquel Norel, Daniel Fischer, Haim J. Wolfson, Ruth Nussinov posted to machine-learning ligand-binding docking computer-vision computational by stharward on 2009-12-09 16:41:15 as
	Learning sparse metrics via linear programming [My Copy] In KDD '06: Proceedings of the 12th ACM SIGKDD international conference on Knowledge discovery and data mining (2006), pp. 367-373. by Rómer Rosales, Glenn Fung posted to machine-learning feature-selection by stharward on 2009-11-19 22:19:05 as along with 1 person sdvillal
	Toward Integrating Feature Selection Algorithms for Classification and Clustering [My Copy] IEEE Transactions on Knowledge and Data Engineering, Vol. 17, No. 4. (April 2005), pp. 491-502. by Huan Liu, Lei Yu posted to machine-learning feature-selection cluster-analysis by stharward on 2009-11-19 21:43:32 as along with 6 people Jaldert sona sdvillal javo_eupla amargoli zhengzhong
	Novel Unsupervised Feature Filtering of Biological Data [My Copy] Bioinformatics, Vol. 22, No. 14. (15 July 2006), pp. e507-513. by Roy Varshavsky, Assaf Gottlieb, Michal Linial, David Horn posted to machine-learning feature-selection by stharward on 2009-11-19 21:41:10 as along with 3 people VGreiff bertelsen jfr
	A review of feature selection techniques in bioinformatics [My Copy] Bioinformatics, Vol. 23, No. 19. (1 October 2007), pp. 2507-2517. by Yvan Saeys, Inaki Inza, Pedro Larranaga posted to svm review machine-learning feature-selection by stharward on 2009-09-18 19:59:06 as along with 29 people and 1 group corgan orzenil Shibby zufar jjrodriguez briordan phoenixzxl ipark-kaist prerna svozil bertelsen VGreiff rsantana druvus jfr giovenko guhjy chad_davis aviad_work frohike grahamc shigepong lp2 cabbagezs ryanraaum vietanh0 eacosta aaalxy srp33 Bioinformatics
	Predicting Biotransformation Potential from Molecular Structure [My Copy] Journal of Chemical Information and Computer Sciences, Vol. 43, No. 5. (1 September 2003), pp. 1636-1646. by Yu Borodina, A. Sadym, D. Filimonov, V. Blinova, A. Dmitriev, V. Poroikov posted to metabolite-prediction machine-learning by stharward on 2009-09-15 15:47:13 as
	Ensemble Methods in Machine Learning [My Copy] Multiple Classifier Systems (2000), pp. 1-15. by Thomas Dietterich posted to machine-learning review by stharward on 2009-07-23 16:55:24 as along with 3 people euclid markusd ldietz
	Supervised Machine Learning: A Review of Classification Techniques [My Copy] Informatica, Vol. 31 (2007), pp. 249-268. by S. B. Kotsiantis posted to machine-learning review by stharward on 2009-07-23 16:31:25 as
	Machine learning: a review of classification and combining techniques [My Copy] Artificial Intelligence Review, Vol. 26, No. 3. (1 November 2006), pp. 159-190. by S. Kotsiantis, I. Zaharakis, P. Pintelas posted to review machine-learning data-mining by stharward on 2009-07-23 16:02:48 as along with 4 people briordan superpyrin haiyeong akastrin
	Algorithms for gene expression analysis [My Copy] In Part 4. Bioinformatics (15 November 2005) by Alvis Brazma, Aedin C. Culhane posted to cluster-analysis gene-expression machine-learning microarray neural-network quantitative-pcr review software svm by stharward on 2009-07-22 17:14:33 as
	A primer on gene expression and microarrays for machine learning researchers [My Copy] Journal of Biomedical Informatics, Vol. 37, No. 4. (August 2004), pp. 293-303. by W. Kuo, E. Kim, J. Trimarchi, T. Jenssen, S. Vinterbo, L. Ohnomachado posted to tutorial quantitative-pcr microarray machine-learning gene-expression by stharward on 2009-07-22 16:56:59 as along with 1 person svozil
	Selection of relevant features and examples in machine learning [My Copy] Artificial Intelligence, Vol. 97, No. 1-2. (December 1997), pp. 245-271. by Avrim L. Blum, Pat Langley posted to feature-selection machine-learning review by stharward on 2009-07-13 22:52:40 as along with 7 people gr650 sirandreus misovalko yaroslavvb sona sdvillal srp33
	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 A. K. Jain, R. P. W. Duin, Jianchang Mao posted to bayesian-classifier cluster-analysis feature-selection machine-learning review svm by stharward on 2009-07-13 21:11:53 as along with 17 people gavin1332 klmoravec awg2 mthomure akastrin h-chi thefillm RafaUsyd balicea yama_tah alexmaclennan gane5h polydicht yangxian abominable EJCKelkboom albertleemon
	APPLICATIONS OF SUPPORT VECTOR MACHINES TO CANCER CLASSIFICATION WITH MICROARRAY DATA [My Copy] International Journal of Neural Systems,, Vol. 15, No. 6. (December 2005), pp. 475-484. by Feng Chu, Lipo Wang posted to cancer gene-expression machine-learning microarray svm by stharward on 2009-07-13 17:32:15 as
	MINIMUM REDUNDANCY FEATURE SELECTION FROM MICROARRAY GENE EXPRESSION DATA [My Copy] Journal of Bioinformatics and Computational Biology, Vol. 3, No. 2. (April 2005), pp. 185-205. by Chris Ding, Hanchuan Peng posted to bayesian-classifier cancer feature-selection gene-expression machine-learning svm by stharward on 2009-07-13 17:29:34 as
	Molecular classification of cancer: class discovery and class prediction by gene expression monitoring. [My Copy] Science (New York, N.Y.), Vol. 286, No. 5439. (15 October 1999), pp. 531-537. by T. R. Golub, D. K. Slonim, P. Tamayo, et al.C. Huard, M. Gaasenbeek, J. P. Mesirov, H. Coller, M. L. Loh, J. R. Downing, M. A. Caligiuri, C. D. Bloomfield, E. S. Lander posted to machine-learning gene-expression cancer by stharward on 2009-07-13 17:25:17 as along with 20 people and 2 groups isimpson srp33 ipark-kaist kentz esyoun gstiglic ctaraujo ihpark winterschlaefer hhhhssss balajis sdvillal archroad giovanni santhosh ugengma jo_davies akastrin zchen raiyar Network Analysis of Genes Regulated in Renal Diseases GeschwindLab
	Feature selection for high-dimensional genomic microarray data [My Copy] In ICML '01: Proceedings of the Eighteenth International Conference on Machine Learning (2001), pp. 601-608. by Eric P. Xing, Michael I. Jordan, Richard M. Karp posted to microarray machine-learning feature-selection by stharward on 2009-07-13 17:21:50 as
	Support vector machine classification and validation of cancer tissue samples using microarray expression data [My Copy] Bioinformatics, Vol. 16, No. 10. (1 October 2000), pp. 906-914. by Terrence S. Furey, Nello Cristianini, Nigel Duffy, David W. Bednarski, Michel Schummer, David Haussler posted to svm microarray machine-learning gene-expression cancer by stharward on 2009-07-13 17:17:25 as along with 6 people barmak7282 petrposik ggrot tvjagan srp33 pliz
	Feature Selection for Classification [My Copy] Intelligent Data Analysis, Vol. 1 (1997), pp. 131-156. by M. Dash, H. Liu posted to machine-learning feature-selection by stharward on 2009-07-13 17:15:34 as
	Machine learning models for lung cancer classification using array comparative genomic hybridization. [My Copy] Proceedings / AMIA ... Annual Symposium. AMIA Symposium (2002), pp. 7-11. by C. F. Aliferis, D. Hardin, P. P. Massion posted to cancer cgh machine-learning by stharward on 2009-07-13 16:47:35 as

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stharward's machine-learning [23 articles] Export Sort

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