installe's library 71 articles Export

	A practical guide to support vector classification [My Copy] (2003) by C. W. Hsu, C. C. Chang, C. J. Lin posted to svm support_vector_machine practical_guide introduction by installe on 2009-11-26 09:51:33 as along with 3 people barmak7282 robertlischke grzegorz
	Logistic Regression Model to Distinguish Between the Benign and Malignant Adnexal Mass Before Surgery: A Multicenter Study by the International Ovarian Tumor Analysis Group [My Copy] J Clin Oncol, Vol. 23, No. 34. (1 December 2005), pp. 8794-8801. by Dirk Timmerman, Antonia C. Testa, Tom Bourne, et al.Enrico Ferrazzi, Lieveke Ameye, Maja L. Konstantinovic, Ben Van Calster, William P. Collins, Ignace Vergote, Sabine Van Huffel, Lil Valentin posted to prognostic_model ovarian_cancer multicenter_study machine_learning iota by installe on 2009-11-26 09:48:48 as along with 1 person frohike
	Learning a Metric for Code Readability [My Copy] IEEE Transactions on Software Engineering, Vol. 99, No. 1. (5555) by Raymond P. L. Buse, Westley R. Weimer posted to source_code_metrics software_quality software_engineering by installe on 2009-11-13 15:33:34 as
	Development of a kernel function for clinical data [My Copy] Engineering and Medicine in Biology Society (2009) by Anneleen Daemen, Bart De Moor posted to svm mach by installe on 2009-11-13 13:04:20 as
	Diagnostic signatures from microarrays: a bioinformatics concept for personalized medicine [My Copy] BIOSILICO, Vol. 1, No. 2. (02 May 2003), pp. 64-68. by R. Spang posted to personalized_medicine gene_expression_profiles by installe on 2009-11-10 14:55:17 as
	Hypersensitivity to contact inhibition provides a clue to cancer resistance of naked mole-rat. [My Copy] Proceedings of the National Academy of Sciences of the United States of America (26 October 2009) by Andrei Seluanov, Christopher Hine, Jorge Azpurua, et al.Marina Feigenson, Michael Bozzella, Zhiyong Mao, Kenneth C. Catania, Vera Gorbunova posted to naked_mole_rat anti_cancer_mechanisms by installe on 2009-10-29 12:44:34 as along with 2 people yyfwuhan ericsuh
	A re-evaluation of the risk factors for the recurrence of primary sclerosing cholangitis in liver allografts. [My Copy] Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society, Vol. 15, No. 3. (March 2009), pp. 330-340. by Edward Alabraba, Peter Nightingale, Bridget Gunson, et al.Stefan Hubscher, Simon Olliff, Darius Mirza, James Neuberger posted to risk_factor recurrence primary_sclerosing_cholangitis liver_transplantation by installe on 2009-10-29 10:29:14 as
	Risk factors for recurrence of primary sclerosing cholangitis after liver transplantation. [My Copy] Liver transplantation : official publication of the American Association for the Study of Liver Diseases and the International Liver Transplantation Society, Vol. 14, No. 2. (February 2008), pp. 245-251. by Jacob Alexander, James D. Lord, Matthew M. Yeh, Carlos Cuevas, Ramasamy Bakthavatsalam, Kris V. Kowdley posted to no-tag by installe on 2009-10-29 10:22:15 as
	Risk Factors for Recurrence of Primary Sclerosing Cholangitis After Living Donor Liver Transplantation: A Single Center Experience [My Copy] Digestive Diseases and Sciences, Vol. 54, No. 6. (1 June 2009), pp. 1347-1354. by Hiroto Egawa, Kaoru Taira, Satoshi Teramukai, et al.Hironori Haga, Yoshihide Ueda, Atsushi Yonezawa, Satohiro Masuda, Hiroaki Tsuji, Eishi Ashihara, Yasutsugu Takada, Shinji Uemoto posted to recurrence primary_sclerosing_cholangitis donor_liver_transplantation by installe on 2009-10-29 10:18:27 as
	Clinical machine learning [My Copy] Journal of Biomedical Informatics, Vol. 38, No. 5. (October 2005), pp. 345-346. by L. Ohnomachado posted to machine_learning clinical_data by installe on 2009-10-28 10:00:19 as
	Realizing quality improvement through test driven development: results and experiences of four industrial teams [My Copy] Empirical Softw. Engg., Vol. 13, No. 3. (1 June 2008), pp. 289-302. by Nachiappan Nagappan, E. Michael Maximilien, Thirumalesh Bhat, Laurie Williams posted to test_driven_development software_development_methodologies defect_density case_studies by installe on 2009-10-26 12:59:12 as along with 2 people and 1 group akuhn jansin62 Test-driven development
	Comparing Artificial Neural Networks, General Linear Models and Support Vector Machines in Building Predictive Models for Small Interfering RNAs [My Copy] PLoS ONE, Vol. 4, No. 10. (22 October 2009), e7522. by Kyle A. McQuisten, Andrew S. Peek posted to support_vector_machines predictive_performance machine_learning comparative_studies by installe on 2009-10-26 09:53:34 as
	Can Survival Prediction Be Improved By Merging Gene Expression Data Sets? [My Copy] PLoS ONE, Vol. 4, No. 10. (23 October 2009), e7431. by Haleh Yasrebi, Peter Sperisen, Viviane Praz, Philipp Bucher posted to machine_learning gene_expression_data data_merging data_integration by installe on 2009-10-26 09:42:02 as along with 1 person frohike
	Next-generation DNA sequencing. [My Copy] Nature biotechnology, Vol. 26, No. 10. (09 October 2008), pp. 1135-1145. by Jay Shendure, Hanlee Ji posted to performance high_throughput dna_sequencing biomedical_research by installe on 2009-10-23 11:30:51 as along with 46 people and 3 groups Jporci daforerog dchughes hzoltan cthachuk giovenko heliopais seb1 niallhaslam Vincent_Rouilly rschulz fishtank bluto Annab katholt jmcq michaelbarton n00c jfr dna nzm farhat idoerg mhz mmartin antonkratz jbhiatt yupu behindtherabbit guhjy Pascalichouchou frohike dakelley ptrobajo zwang Zephyrus psique natstreet druvus nuin alexknight reyez dbk wsjames pengchy GeeSharpMinor Bioinformatics Roswell Cancer Crosstalk Oxford Virology
	Secure set intersection cardinality with application to association rule mining [My Copy] J. Comput. Secur., Vol. 13, No. 4. (2005), pp. 593-622. by Jaideep Vaidya, Chris Clifton posted to security privacy medical_records by installe on 2009-10-19 13:34:26 as
	Privacy preserving integration of health care data. [My Copy] AMIA ... Annual Symposium proceedings / AMIA Symposium. AMIA Symposium (2007), pp. 1-5. by N. Adam, T. White, B. Shafiq, J. Vaidya, X. He posted to privacy medical_records health_care_data data_mining by installe on 2009-10-19 12:41:31 as along with 1 person guhjy
	Global effects of DNA replication and DNA replication origin activity on eukaryotic gene expression [My Copy] Molecular Systems Biology, Vol. 5 (13 October 2009) by Larsson Omberg, Joel R. Meyerson, Kayta Kobayashi, Lucy S. Drury, John F. X. Diffley, Orly Alter posted to tensor_algebra singular_value_decomposition microarray mathematical_modeling gene_expression dna_microarray_data by installe on 2009-10-19 09:34:04 as along with 1 person frohike
	PLAST: parallel local alignment search tool for database comparison [My Copy] BMC Bioinformatics, Vol. 10, No. 1. (2009), 329. by Van H. Nguyen, Dominique Lavenier posted to simd parallel alignment by installe on 2009-10-16 16:06:57 as along with 4 people and 2 groups reyez polivares ppgardne druvus BergmanLab Journal picks
	Functional programming [My Copy] (1995) by Jeroen Fokker posted to programming_languages functional_programming by installe on 2009-10-16 11:58:43 as
	Are we there yet? A deconstruction of object-oriented time. [My Copy] In The JVM Language Summit 2009 (2009) by Rich Hickey posted to software_engineering software_development_paradigms parallel object_oriented_programming functional_programming concurrency by installe on 2009-10-12 12:55:06 as
	Gene functional classification from heterogeneous data [My Copy] In RECOMB '01: Proceedings of the fifth annual international conference on Computational biology (2001), pp. 249-255. by Paul Pavlidis, Jason Weston, Jinsong Cai, William N. Grundy posted to support_vector_machine machine_learning integration_framework heterogeneous_data data_mining data_integration combining_diverse_data by installe on 2009-10-12 09:48:52 as
	A kernel-based integration of genome-wide data for clinical decision support. [My Copy] Genome medicine, Vol. 1, No. 4. (3 April 2009) by Anneleen Daemen, Olivier Gevaert, Fabian Ojeda, et al.Annelies Debucquoy, Johan Ak A. Suykens, Christine Sempoux, Jean-Pascal P. Machiels, Karin Haustermans, Bart De Moor posted to svm machine_learning integration_framework by installe on 2009-10-09 15:07:04 as along with 4 people nicklynch daed frohike inesdesantiago
	Tree induction vs. logistic regression: a learning-curve analysis [My Copy] J. Mach. Learn. Res., Vol. 4 (2003), pp. 211-255. by Claudia Perlich, Foster Provost, Jeffrey S. Simonoff posted to machine_learning learning_curve by installe on 2009-10-06 15:07:28 as
	MetaCost: A General Method for Making Classifiers Cost-Sensitive [My Copy] In In Proceedings of the Fifth International Conference on Knowledge Discovery and Data Mining (1999), pp. 155-164. by Pedro Domingos posted to machine_learning evaluation_measure by installe on 2009-10-02 12:40:30 as
	Data Mining: Practical Machine Learning Tools and Techniques, Second Edition (Morgan Kaufmann Series in Data Management Systems) [My Copy] (22 June 2005) by Ian H. Witten, Eibe Frank posted to predictive_performance input_noise evaluation_measure data_mining classifiers by installe on 2009-10-02 12:39:26 as along with 47 people and 6 groups anib singhsh tomjad malibu pinventado alexjfalcao fiacobelli liamtoh333 tijszwinkels ihaque sugarexpletive karinaecomp gstiglic haiyeong imrchen baaic RafaUsyd tmancill druvus dullhunk GJNauta sb-3000 sammydre balicea sdvillal caporaso AbnerCYH brunomelo dejang mdifranc BastianSpanneberg velasco azazello ezralanglois pprett gmonce fernandohbc scorreia_pro csacca jdu bobychan napvasconcelos soramame_0518 abellogin quianominorleo eegilbert akastrin mlkd WAND AI biomedical-nlp RiSE CSBBGraphTheory
	The Case Against Accuracy Estimation for Comparing Induction Algorithms [My Copy] In In Proceedings of the Fifteenth International Conference on Machine Learning (1997), pp. 445-453. by Foster Provost, Tom Fawcett, Ron Kohavi posted to evaluation_measure data_mining comparison by installe on 2009-10-02 10:37:55 as
	Signal Detection Theory and Psychophysics [My Copy] (01 December 1989) by David M. Green, John A. Swets posted to evaluation_measure by installe on 2009-10-02 10:18:15 as along with 1 person diancu
	Constructing New and Better Evaluation Measures for Machine Learning [My Copy] In IJCAI-07 (2007), pp. 859-864. by Jin Huang, X. Ling Charles posted to predictive_performance evaluation_measure data_mining by installe on 2009-09-24 12:45:51 as
	A systematic analysis of performance measures for classification tasks [My Copy] Inf. Process. Manage., Vol. 45, No. 4. (July 2009), pp. 427-437. by Marina Sokolova, Guy Lapalme posted to systematic_analysis predictive_performance evaluation_measure data_mining classifiers by installe on 2009-09-24 12:38:06 as
	Privacy-preserving Bayesian network structure computation on distributed heterogeneous data [My Copy] In KDD '04: Proceedings of the tenth ACM SIGKDD international conference on Knowledge discovery and data mining (2004), pp. 713-718. by Rebecca Wright, Zhiqiang Yang posted to privacy machine_learning data_mining_algorithms bayesian_networks by installe on 2009-09-14 13:43:48 as
	Broken Promises of Privacy: Responding to the Surprising Failure of Anonymization [My Copy] Social Science Research Network Working Paper Series (17 August 2009) by Paul Ohm posted to privacy by installe on 2009-09-10 15:49:06 as along with 12 people danilov paulovn tnhh jclau Gorzomagnificent srijit pak dejang mariawolters bfraser gvdh michaelbanks
	Revisiting the uniqueness of simple demographics in the US population [My Copy] In WPES '06: Proceedings of the 5th ACM workshop on Privacy in electronic society (2006), pp. 77-80. by Philippe Golle posted to privacy by installe on 2009-09-10 15:44:10 as
	Adaptive Workload Prediction of Grid Performance in Confidence Windows [My Copy] IEEE Transactions on Parallel and Distributed Systems, Vol. 99, No. 1. (5555) by Yongwei Wu, Kai Hwang, Yulai Yuan, Weiming Zheng posted to performance_prediction parallel grid distributed by installe on 2009-09-07 14:35:00 as
	Parallel Learning of Belief Networks in Large and Difficult Domains [My Copy] In Paris (Department of Signal and Image Processing). She graduated from Ecole des Mines de Paris in 1986, received Ph.D from ENST Paris in 1990 and the Habilitation a Diriger des Recherches from University Paris 5 in, Vol. 3 (1999), pp. 315-339. by Yang Xiang, Y. Xiang, Y. Xiang, Y. Xiang, T. Chu, T. Chu posted to parallel machine_learning bayesian_networks algorithms by installe on 2009-08-28 11:23:53 as
	Python for Scientific Computing [My Copy] Computing in Science and Engineering, Vol. 9, No. 3. (2007), pp. 10-20. by Travis E. Oliphant posted to programming_languages by installe on 2009-08-28 09:07:34 as
	Python Environment for Bayesian Learning: Inferring the Structure of Bayesian Networks from Knowledge and Data [My Copy] J. Mach. Learn. Res., Vol. 10 (2009), pp. 159-162. by Abhik Shah, Peter Woolf posted to parallel open_source machine_learning distributed bayesian_networks by installe on 2009-08-28 09:03:44 as
	Incorporating Existing Network Information into Gene Network Inference [My Copy] PLoS ONE, Vol. 4, No. 8. (27 August 2009), e6799. by Scott Christley, Qing Nie, Xiaohui Xie posted to ordinary_differential_equations machine_learning combining_diverse_data by installe on 2009-08-27 12:13:54 as along with 5 people rdiaz coffeerv tmmurali TRHvidsten frohike
	Use of influence diagrams to structure medical decisions. [My Copy] Medical decision making : an international journal of the Society for Medical Decision Making, Vol. 17, No. 3. (p 1997), pp. 263-275. by R. F. Nease, D. K. Owens posted to influence_diagrams decision_support by installe on 2009-08-26 10:13:41 as
	A Variational Approximation for Bayesian Networks with Discrete and Continuous Latent Variables [My Copy] In In UAI, Vol. 15 (1999), pp. 457-466. by Kevin P. Murphy posted to hybrid bayesian_networks by installe on 2009-08-25 13:46:56 as
	Bayesian Network Models with Discrete and Continuous Variables [My Copy] Advances in Probabilistic Graphical Models (2007), pp. 81-102. by Barry Cobb, Rafael Rumí, Antonio Salmerón posted to hybrid bayesian_networks by installe on 2009-08-25 09:45:41 as
	Personalized Medicine and Inhibition of EGFR Signaling in Lung Cancer [My Copy] N Engl J Med (19 August 2009), NEJMe0905763. by Adi F. Gazdar posted to cancer by installe on 2009-08-20 09:12:48 as
	An Experience in Testing the Security of Real-World Electronic Voting Systems [My Copy] IEEE Transactions on Software Engineering, Vol. 99, No. 1. (5555) by Davide Balzarotti, Greg Banks, Marco Cova, et al.Viktoria Felmetsger, Richard Kemmerer, William Robertson, Fredrik Valeur, Giovanni Vigna posted to security by installe on 2009-08-20 08:36:04 as
	Ultra-Structure database design methodology for managing systems biology data and analyses [My Copy] BMC Bioinformatics, Vol. 10, No. 1. (2009), 254. by Christopher Maier, Jeffrey Long, Bradley Hemminger, Morgan Giddings posted to omics databases data_mining by installe on 2009-08-20 08:31:03 as along with 2 people nuin druvus
	Superstitious learning and induction [My Copy] Artif. Intell. Rev., Vol. 9, No. 1. (1995), pp. 3-18. by A. P. White, W. Z. Liu posted to superstition machine_learning by installe on 2009-08-19 11:00:59 as
	Predicting Cell Cycle Regulated Genes by Causal Interactions [My Copy] PLoS ONE, Vol. 4, No. 8. (18 August 2009), e6633. by Frank Emmert-Streib, Matthias Dehmer posted to genomic_expression cell_cycle bayesian_networks by installe on 2009-08-19 09:35:59 as along with 1 person rdiaz
	Reverse Engineering Input Syntactic Structure from Program Execution and Its Applications [My Copy] IEEE Transactions on Software Engineering, Vol. 99, No. 1. (5555) by Zhiqiang Lin, Xiangyu Zhang, Dongyan Xu posted to tracing software_engineering parsing network_protocol debugging by installe on 2009-08-19 09:26:33 as
	A Parallel Algorithm for Learning Bayesian Networks [My Copy] Advances in Knowledge Discovery and Data Mining (2007), pp. 1055-1063. by Kui Yu, Hao Wang, Xindong Wu posted to performance parallel machine_learning data_mining bayesian_networks by installe on 2009-08-18 10:20:35 as
	The future of PACS. [My Copy] Medical physics, Vol. 34, No. 7. (July 2007), pp. 2676-2682. by Paul G. Nagy posted to roadmap pacs by installe on 2009-08-17 14:02:47 as
	Machine Learning algorithms: a study on noise [My Copy] in 1st Balcan Conference in Informatics (2003) by Sensitivity E. Kalapanidas, Elias Kalapanidas, Nikolaos Avouris, Marian Craciun, Daniel Neagu posted to machine_learning input_noise comparison by installe on 2009-08-17 12:03:51 as
	Bayesian regression with input noise for high dimensional data [My Copy] In ICML '06: Proceedings of the 23rd international conference on Machine learning (2006), pp. 937-944. by Jo A. Ting, Aaron D'Souza, Stefan Schaal posted to machine_learning input_noise bayesian_networks by installe on 2009-08-14 16:14:39 as along with 1 person sithmein

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machine_learning	22
bayesian_networks	12
data_mining	11
parallel	7
evaluation_measure	6
privacy	6
genome	5
software_engineering	5
svm	5
databases	4
input_noise	4
performance	4
predictive_performance	4
comparison	3
distributed	3
integration_framework	3
microarray	3
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cancer	2
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functional_programming	2
genomic_expression	2
hybrid	2
introduction	2
medical_records	2
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primary_sclerosing_cholangitis	2
programming_languages	2
recurrence	2
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support_vector_machine	2
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comparative_studies	1
concurrency	1
data_merging	1
data_mining_algorithms	1
debugging	1
decision_support	1
defect_density	1
dependencies	1
disease_drug_interaction	1
dna_microarray_data	1
dna_sequencing	1
donor_liver_transplantation	1
embedded	1
gene_expression	1
gene_expression_data	1
gene_expression_profiles	1
generalization_error_estimator	1
grid	1
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high_throughput	1
influence_diagrams	1
iota	1
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performance_prediction	1
personalized_medicine	1
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prognostic_model	1
quality_assurance	1
risk_factor	1
roadmap	1
sequencing	1
simd	1
singular_value_decomposition	1
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software_development_paradigms	1
software_quality	1
statistics	1
subspace_information_criterion	1
superstition	1
support_vector_machines	1
systematic_analysis	1
tensor_algebra	1
test_driven_development	1
tracing	1

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