kwoodsend's library 203 articles Export

	Constraint Integer Programming [My Copy] (2007) by Tobias Achterberg posted to zib by kwoodsend on 2009-11-22 22:34:00 as
	Paralleler und objektorientierter Simplex-Algorithmus [My Copy] (1996) by Roland Wunderling posted to zib by kwoodsend on 2009-11-22 22:33:29 as
	Rapid Mathematical Prototyping [My Copy] (2004) by Thorsten Koch posted to zib by kwoodsend on 2009-11-22 22:32:50 as
	Online Passive-Aggressive Algorithms [My Copy] Journal of Machine Learning Research, Vol. 7 (March 2006), pp. 551-585. by Koby Crammer, Ofer Dekel, Joseph Keshet, Shai Shalev-Shwartz, Yoram Singer posted to svm incremental by kwoodsend on 2009-10-17 23:41:24 as
	Sparse Online Learning via Truncated Gradient [My Copy] Journal of Machine Learning Research, Vol. 10 (March 2009), pp. 777-801. by John Langford, Lihong Li, Tong Zhang posted to svm incremental by kwoodsend on 2009-10-17 23:40:51 as
	Incremental support vector machine learning in the primal and applications [My Copy] Neurocomputing, Vol. 72, No. 10-12. (June 2009), pp. 2249-2258. by Zhizheng Liang, YouFu Li posted to svm incremental by kwoodsend on 2009-10-17 23:39:56 as
	Incremental Support Vector Learning: Analysis, Implementation and Applications [My Copy] Journal of Machine Learning Research, Vol. 7 (September 2006), pp. 1909-1936. by Pavel Laskov, Christian Gehl, Stefan Krüger, Klaus-Robert Müller posted to svm incremental by kwoodsend on 2009-10-17 23:35:36 as
	Using an iterative linear solver in an interior-point method for generating support vector machines [My Copy] Computational Optimization and Applications by E. Gertz, Joshua Griffin posted to svm-alg ipm by kwoodsend on 2009-10-17 23:28:17 as
	Beam sampling for the infinite hidden Markov model [My Copy] In ICML '08: Proceedings of the 25th international conference on Machine learning (2008), pp. 1088-1095. by Jurgen Van Gael, Yunus Saatci, Yee W. Teh, Zoubin Ghahramani posted to pos-tagger hmm by kwoodsend on 2009-10-15 13:11:24 as along with 1 person jonilaserson
	Japanese Dependency Analysis using Cascaded Chunking [My Copy] (2002) by Taku Kudo, Yuji Matsumoto posted to svm-apps nlp-parser by kwoodsend on 2009-10-15 13:07:22 as
	Noun phrase chunking in hebrew: Influence of lexical and morphological features [My Copy] In In Proceeding of COLING-ACL-06 (2006) by Yoav Goldberg, Meni Adler, Michael Elhadad posted to svm-apps nlp-parser by kwoodsend on 2009-10-15 13:04:38 as
	Online large-margin training of dependency parsers [My Copy] In In Proc. ACL (2005), pp. 91-98. by Ryan Mcdonald, Koby Crammer, Fernando Pereira posted to nlp-parser machine-learning by kwoodsend on 2009-10-15 13:00:30 as
	Chunking with Support Vector Machines [My Copy] (2001) by Taku Kudo, Yuji Matsumoto posted to svm-apps nlp-parser nlp by kwoodsend on 2009-10-15 12:57:39 as
	Fast Methods for Kernel-based Text Analysis [My Copy] (2003) by Taku Kudo, Yuji Matsumoto posted to svm-apps nlp by kwoodsend on 2009-10-15 12:55:33 as
	Statistical Dependency Analysis with Support Vector Machines [My Copy] In In Proceedings of IWPT (2003), pp. 195-206. by Hiroyasu Yamada, Yuji Matsumoto posted to svm-apps nlp-parser nlp by kwoodsend on 2009-10-15 12:52:53 as
	Efficient support vector classifiers for named entity recognition [My Copy] In Proceedings of the 19th international conference on Computational linguistics (2002), pp. 1-7. by Hideki Isozaki, Hideto Kazawa posted to svm-apps nlp-ner nlp by kwoodsend on 2009-10-15 12:50:53 as along with 2 people sjacquemont creswick
	splitSVM: fast, space-efficient, non-heuristic, polynomial kernel computation for NLP applications [My Copy] In HLT '08: Proceedings of the 46th Annual Meeting of the Association for Computational Linguistics on Human Language Technologies (2008), pp. 237-240. by Yoav Goldberg, Michael Elhadad posted to svm-apps svm-alg pos-tagger nlp by kwoodsend on 2009-10-15 12:46:48 as
	OpenMP Application Program Interface [My Copy] (May 2008) by OpenMP Architecture Review Board posted to parallel by kwoodsend on 2009-10-15 11:30:29 as
	MPI: A Message-Passing Interface Standard [My Copy] (June 1995) by M. P. I. Forum posted to parallel by kwoodsend on 2009-10-15 11:30:29 as
	Anatomy of high-performance matrix multiplication [My Copy] ACM Trans. Math. Softw., Vol. 34, No. 3. (2008), pp. 1-25. by Kazushige Goto, Robert A. van de Geijn posted to parallel by kwoodsend on 2009-10-15 11:30:29 as
	A Framework for Efficient Execution of Matrix Computations [My Copy] (July 2006) by José R. Herrero posted to parallel by kwoodsend on 2009-10-15 11:30:29 as
	GEMM-based level 3 BLAS: high-performance model implementations and performance evaluation benchmark [My Copy] ACM Trans. Math. Softw., Vol. 24, No. 3. (1998), pp. 268-302. by Bo Kaagström, Per Ling, Charles van Loan posted to parallel by kwoodsend on 2009-10-15 11:30:29 as
	Comparison of Parallel Programming Models on Clusters of SMP Nodes [My Copy] In Modelling, Simulation and Optimization of Complex Processes: Proceedings of the International Conference on High Performance Scientific Computing, March 10-14, 2003, Hanoi, Vietnam (2003), pp. 409-426. by Rolf Rabenseifner, Gerhard Wellein edited by Hans G. Bock, Ekaterina Kostina, Hoang X. Phu, Rolf Rannacher posted to parallel by kwoodsend on 2009-10-15 11:30:29 as
	Development of mixed mode MPI / OpenMP applications [My Copy] Scientific Programming (2001) by Lorna Smith, Mark Bull posted to parallel by kwoodsend on 2009-10-15 11:30:29 as
	Parallel Software for Training Large Scale Support Vector Machines on Multiprocessor Systems [My Copy] Journal of Machine Learning Research, Vol. 7 (2006), pp. 1467-1492. by Luca Zanni, Thomas Serafini, Gaetano Zanghirati posted to svm parallel gradient-projection by kwoodsend on 2009-10-15 11:30:29 as
	A Fast Parallel Optimization for Training Support Vector Machine [My Copy] In Proceedings of 3rd International Conference on Machine Learning and Data Mining (2003), pp. 96-105. by Jian-xiong Dong, Adam Krzyzak, Ching Suen edited by P. Perner, A. Rosenfeld posted to svm parallel by kwoodsend on 2009-10-15 11:30:29 as
	Parallelization of the Incremental Proximal Support Vector Machine Classifier using a Heap-based Tree Topology [My Copy] (2003) by Amund Tveit, Havard Engum posted to svm parallel by kwoodsend on 2009-10-15 11:30:29 as
	Proximal Support Vector Machine Classifiers [My Copy] In Proceedings KDD-2001: Knowledge Discovery and Data Mining, August 26-29, 2001, San Francisco, CA (2001), pp. 77-86. by G. Fung, O. L. Mangasarian edited by F. Provost, R. Srikant posted to svm by kwoodsend on 2009-10-15 11:30:28 as
	A Parallel Mixture of SVMs for Very Large Scale Problems [My Copy] Neural Computation, Vol. 14, No. 5. (2002), pp. 1105-1114. by Ronan Collobert, Samy Bengio, Yoshua Bengio posted to svm parallel by kwoodsend on 2009-10-15 11:30:28 as
	Parallel support vector machines: the Cascade SVM [My Copy] In Advances in Neural Information Processing Systems (2005) by Hans P. Graf, Eric Cosatto, Léon Bottou, Igor Dourdanovic, Vladimir Vapnik edited by Lawrence Saul, Yair Weiss, Léon Bottou posted to svm parallel by kwoodsend on 2009-10-15 11:30:28 as
	Quantum optimization for training support vector machines [My Copy] Neural Networks, Vol. 16, No. 5-6. (2003), pp. 763-770. by Davide Anguita, Sandro Ridella, Fabio Rivieccio, Rodolfo Zunino posted to svm by kwoodsend on 2009-10-15 11:30:28 as
	Rademacher and Gaussian Complexities: Risk Bounds and Structural Results [My Copy] Computational Learning Theory: 14th Annual Conference on Computational Learning Theory, COLT 2001 and 5th European Conference on Computational Learning Theory, EuroCOLT 2001, Amsterdam, The Netherlands, July 16-19, 2001, Proceedings (2001) by Peter L. Bartlett, Shahar Mendelson posted to svm-theory by kwoodsend on 2009-10-15 11:30:28 as
	Support Vector Machines for Dyadic Data [My Copy] Neural Computation, Vol. 18, No. 6. (2006), pp. 1472-1510. by Sepp Hochreiter, Klaus Obermayer posted to svm-theory by kwoodsend on 2009-10-15 11:30:28 as
	Time series prediction: forecasting the future and understanding the past [My Copy] (1993) by Andreas Weigend, Neil Gershenfeld edited by Andreas Weigend, Neil Gershenfeld posted to time-series by kwoodsend on 2009-10-15 11:30:28 as
	Singular spectrum analysis: a new tool in time series analysis [My Copy] (1996) by James Elsner, Anastosios Tsonis posted to time-series by kwoodsend on 2009-10-15 11:30:28 as
	Analysis of time series structure: SSA and related techniques [My Copy] Vol. 90 (2001) by Nina Golyandina, Vladimir Nekrutkin, Anatoly Zhigljavsky posted to time-series by kwoodsend on 2009-10-15 11:30:28 as
	An introduction to bilinear time series models [My Copy] (1978) by Clive Granger, Allan Andersen posted to time-series by kwoodsend on 2009-10-15 11:30:28 as
	Time series: applications to finance [My Copy] (2002) by Ngai H. Chan posted to time-series by kwoodsend on 2009-10-15 11:30:28 as
	Multi Label Classification: An Overview [My Copy] International Journal of Data Warehousing and Mining, Vol. 3, No. 3. (2007), pp. 1-13. by Katakis posted to svm-theory by kwoodsend on 2009-10-15 11:30:28 as
	Vehicle classification in distributed sensor networks [My Copy] Journal of Parallel and Distributed Computing, Vol. 64, No. 7. (July 2004), pp. 826-838. by Marco F. Duarte, Yu H. Hu posted to svm-data by kwoodsend on 2009-10-15 11:30:28 as
	Breast Tumor Susceptibility to Chemotherapy Via Support Vector Machines [My Copy] Computational Management Science, Vol. 3, No. 2. (April 2006), pp. 103-112. by Glenn Fung, O. L. Mangasarian posted to svm-apps by kwoodsend on 2009-10-15 11:30:28 as
	Knowledge-based analysis of microarray gene expression data by using support vector machines [My Copy] PNAS, Vol. 97, No. 1. (2000), pp. 262-267. by Michael P. S. Brown, William N. Grundy, David Lin, et al.Nello Cristianini, Charles W. Sugnet, Terrence S. Furey, Jr, David Haussler posted to svm-apps by kwoodsend on 2009-10-15 11:30:28 as
	Support vector machine approach for protein subcellular localization prediction [My Copy] Bioinformatics, Vol. 17, No. 8. (2001), pp. 721-728. by Sujun Hua, Zhirong Sun posted to svm-apps by kwoodsend on 2009-10-15 11:30:28 as
	Multiclass cancer diagnosis using tumor gene expression signatures [My Copy] PNAS, Vol. 98, No. 26. (2001), pp. 15149-15154. by Sridhar Ramaswamy, Pablo Tamayo, Ryan Rifkin, et al.Sayan Mukherjee, Chen H. Yeang, Michael Angelo, Christine Ladd, Michael Reich, Eva Latulippe, Jill P. Mesirov, Tomaso Poggio, William Gerald, Massimo Loda, Eric S. Lander, Todd R. Golub posted to svm-apps by kwoodsend on 2009-10-15 11:30:28 as
	Support vector machine classification of microarray data [My Copy] (1999) by S. Mukherjee, P. Tamayo, D. Slonim, et al.A. Verri, T. Golub, J. Mesirov, T. Poggio posted to svm-apps by kwoodsend on 2009-10-15 11:30:28 as
	Diagnosing Breast Cancer Based on Support Vector Machines [My Copy] Journal of Chemical Information and Modeling, Vol. 43, No. 3. (2003), pp. 900-907. by H. X. Liu, R. S. Zhang, F. Luan, et al.X. J. Yao, M. C. Liu, Z. D. Hu, B. T. Fan posted to svm-apps by kwoodsend on 2009-10-15 11:30:28 as
	Gene Selection for Cancer Classification using Support Vector Machines [My Copy] Mach. Learn., Vol. 46, No. 1-3. (2002), pp. 389-422. by Isabelle Guyon, Jason Weston, Stephen Barnhill, Vladimir Vapnik posted to svm-apps by kwoodsend on 2009-10-15 11:30:28 as
	On the noise model of support vector machine regression [My Copy] No. CBCL Paper 168, AI Memo 1651. (1998) by M. Pontil, S. Mukherjee, F. Girosi posted to svm-theory svm-regression by kwoodsend on 2009-10-15 11:30:28 as
	Properties of support vector machines. [My Copy] (1997) by M. Pontil, A. Verri posted to svm-theory by kwoodsend on 2009-10-15 11:30:28 as
	Sparse greedy matrix approximation for machine learning [My Copy] In Proceedings of the 17th International Conference on Machine Learning (2000), pp. 911-918. by Alexander J. Smola, Bernhard Schölkopf posted to matrix-approximation by kwoodsend on 2009-10-15 11:30:28 as

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svm-alg	36
ipm	33
svm	29
svm-theory	27
parallel	21
structured	16
svm-apps	14
nlp	11
aml	10
machine-learning	9
column-generation	9
optimization	8
low-rank	8
matrix-approximation	6
gradient-projection	6
time-series	5
nlp-parser	5
data-mining	5
cholesky	4
incremental	4
linear-algebra	3
pos-tagger	3
svm-regression	3
semidefinite	3
zib	3
nonlinear	2
bundle	2
combinatorial	2
accpm	2
perceptron	2
maxent	2
simplex	2
svm-data	1
problem-repository	1
hypersparsity	1
tapia	1
nlp-ner	1
1-norm	1
constraint-programming	1
indicators	1
hmm	1

kwoodsend's library 203 articles Export

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