markstoehr's library 66 articles Export

	Joint Unsupervised Coreference Resolution with Markov Logic [My Copy] In Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing (October 2008), pp. 650-659. by Hoifung Poon, Pedro Domingos posted to unsupervised nlp mrf markov_logic machine_learning coreference by markstoehr on 2009-09-04 00:27:01 as
	A Stochastic Grammar of Images [My Copy] (2007) by Song C. Zhu, David Mumford posted to visual_grammars structure_learning review machine_learning grammars bayesian by markstoehr on 2009-09-03 01:18:41 as along with 1 group Statistical Machine Learning
	Discriminative Models for Speech Recognition [My Copy] Information Theory and Applications Workshop, 2007 In Information Theory and Applications Workshop, 2007 (2007), pp. 170-176. by M. J. F. Gales posted to mmi memm mce mbr machine_learning hcrf dynamic_kernels discriminative_classification conditional_augmented_models caug asr by markstoehr on 2009-09-01 00:10:22 as
	Acoustic Modelling Using Continuous Rational Kernels [My Copy] The Journal of VLSI Signal Processing, Vol. 48, No. 1. (1 August 2007), pp. 67-82. by Martin Layton, Mark Gales posted to speech_recognition sequence_kernels rational_kernels machine_learning kernel_methods asr acoustic_models by markstoehr on 2009-09-01 00:02:02 as
	Online Learning for Matrix Factorization and Sparse Coding [My Copy] (1 Aug 2009) by Julien Mairal, Francis Bach, Jean Ponce, Guillermo Sapiro posted to stochastic_optimization stochastic_approximations sparse_pca sparse_coding online_algorithm non-negative_matrix_factorization matrix_factorization machine_learning dictionary_learning basis_pursuit by markstoehr on 2009-08-31 23:18:32 as along with 3 people engelhardt jekky nliu82
	Approximation of the Two-Part MDL Code [My Copy] (15 Sep 2008) by Pieter Adriaans, Paul Vitanyi posted to mdl machine_learning learning_theory kolmogorov_complexity information_theory error_bounds by markstoehr on 2009-08-31 23:09:23 as
	The Power and Perils of MDL [My Copy] Information Theory, 2007. ISIT 2007. IEEE International Symposium on In Information Theory, 2007. ISIT 2007. IEEE International Symposium on (2007), pp. 2216-2220. by Pieter Adriaans, Paul Vitanyi posted to sufficient_statistics statistics mdl learning_theory formal_languages error_bounds dfa by markstoehr on 2009-08-31 23:08:08 as
	Using MDL for Grammar Induction [My Copy] Grammatical Inference: Algorithms and Applications (2006), pp. 293-306. by Pieter Adriaans, Ceriel Jacobs posted to structure_learning mdl machine_learning learning_theory kolmogorov_complexity grammars formal_languages dfa by markstoehr on 2009-08-31 23:06:38 as
	Between Order and Chaos: The Quest for Meaningful Information [My Copy] Theory of Computing Systems, Vol. 45, No. 4. (1 November 2009), pp. 650-674. by Pieter Adriaans posted to thermodynamics mdl machine_learning learning_theory information_theory by markstoehr on 2009-08-31 22:42:39 as
	A stochastic grammar of images [My Copy] Found. Trends. Comput. Graph. Vis., Vol. 2, No. 4. (2006), pp. 259-362. by Song C. Zhu, David Mumford posted to vision structure_learning sparse_coding probability object_detection mrfs markov_models machine_learning hierarchical_learning graphical_models grammars computer_vision appearance_models ai by markstoehr on 2009-08-29 20:04:25 as along with 5 people alexander_bauer forefinger brandyn mthomure pwais
	Unsupervised Learning of Probabilistic Grammar-Markov Models for Object Categories [My Copy] IEEE Trans. Pattern Anal. Mach. Intell., Vol. 31, No. 1. (2009), pp. 114-128. by Long Zhu, Yuanhao Chen, Alan Yuille posted to visual_grammars vision unsupervised mrf machine_learning grammars computer_vision by markstoehr on 2009-08-29 07:33:34 as along with 1 person forefinger
	The Sparse Eigenvalue Problem [My Copy] (12 Jan 2009) by Bharath Sriperumbudur, David Torres, Gert Lanckriet posted to cca cross_language_document_retrieval dc_program fda generalized_eigenvalue_problem global_convergence_analysis majorization_minimization music_annotation pca by markstoehr on 2009-05-27 01:17:07 as along with 1 group Statistical Machine Learning
	An unified EM algorithm for PCA and KPCA [My Copy] Neurocomputing, Vol. 71, No. 1-3. (December 2007), pp. 459-462. by H. Wang, Z. Hu posted to algorithm em kpca machine_learning pca statistics by markstoehr on 2009-05-26 06:03:23 as
	Beyond the point cloud: from transductive to semi-supervised learning [My Copy] In ICML, Vol. 119 (2005), pp. 824-831. by Vikas Sindhwani, Partha Niyogi, Mikhail Belkin edited by Luc De Raedt, Stefan Wrobel, Luc De Raedt, Stefan Wrobel posted to graph_theory machine_learning manifold_learning point_cloud semi-supervised by markstoehr on 2009-05-13 20:49:35 as along with 1 person davidr
	Convergence Rates of General Regularization Methods for Statistical Inverse Problems and Applications [My Copy] SIAM J. Numer. Anal., Vol. 45, No. 6. (2007), pp. 2610-2636. by N. Bissantz, T. Hohage, A. Munk, F. Ruymgaart posted to boosting convergence_rates inverse_problems iterative_regularization minimax_convergence nonparametric_regression regularization by markstoehr on 2009-05-12 06:30:15 as along with 1 person fastjoe23
	Statistical Regularization of Inverse Problems [My Copy] SIAM Review, Vol. 43, No. 2. (2001), pp. 347-366. by Luis Tenorio posted to backus_gilbert bayesian_inference estimation inverse_problems linear_inverse_problems statistical_inference by markstoehr on 2009-05-12 06:26:51 as along with 1 person fastjoe23
	Dimensionality reduction and polynomial chaos acceleration of Bayesian inference in inverse problems [My Copy] Journal of Computational Physics, Vol. 228, No. 6. (01 April 2009), pp. 1862-1902. by Youssef M. Marzouk, Habib N. Najm posted to bayesian_inference dimensionality_reduction gaussian_process inverse_problems karhunenlove_expansion mcmc polynomial_chaos rkhs by markstoehr on 2009-05-12 06:03:22 as along with 2 people nurban kanicka
	Class label versus sample label-based CCA [My Copy] Applied Mathematics and Computation, Vol. 185, No. 1. (01 February 2007), pp. 272-283. by T. Sun, S. Chen posted to cca feature_extraction lda machine_learning statistics by markstoehr on 2009-05-11 07:35:57 as
	Characterizing the Function Space for Bayesian Kernel Models [My Copy] Journal of Machine Learning Research (2007) by Natesh S. Pillai, Qiang Wu, Feng Liang posted to dirichlet_process gaussian_process kernel_methods machine_learning rkhs statistics by markstoehr on 2009-04-29 21:10:53 as
	Classification and visualization for high-dimensional data [My Copy] In KDD '00: Proceedings of the sixth ACM SIGKDD international conference on Knowledge discovery and data mining (2000), pp. 370-374. by Alfred Inselberg, Tova Avidan posted to classificaion dimensionality_reduction machine_learning visualization by markstoehr on 2009-04-19 04:31:16 as
	The equivalence of the total least squares and minimum norm methods [signal processing] [My Copy] Signal Processing, IEEE Transactions on In Signal Processing, IEEE Transactions on, Vol. 39, No. 8. (1991), pp. 1891-1892. by E. M. Dowling, R. D. Degroat posted to least_squares linear_algebra matrix_multiplication signal_processing by markstoehr on 2009-04-03 17:22:50 as
	Active Learning with Statistical Models [My Copy] Journal of Artificial Intelligence Research, Vol. 4 (1996), pp. 129-145. by David A. Cohn, Zoubin Ghahramani, Michael I. Jordan posted to active_learning gaussian_mixture local_regression machine_learning neural_network statistics by markstoehr on 2009-04-03 05:15:31 as
	Active learning using adaptive resampling [My Copy] In In Proceedings of the Sixth ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Vol. 2000 (2000), pp. 92-98. by Vijay S. Iyengar, Chidanand Apte, Tong Zhang posted to active_learning machine_learning statistics by markstoehr on 2009-04-03 05:09:10 as
	A Framework for Learning Predictive Structures from Multiple Tasks and Unlabeled Data [My Copy] J. Mach. Learn. Res., Vol. 6 (2005), pp. 1817-1853. by Rie K. Ando, Tong Zhang posted to machine_learning multiview_learning semi-supervised by markstoehr on 2009-04-03 04:56:28 as along with 3 people BrianTomasik mamadoudiao pkufranky
	Canonical Correlation Analysis: An Overview with Application to Learning Methods [My Copy] Neural Comput., Vol. 16, No. 12. (December 2004), pp. 2639-2664. by David R. Hardoon, Sandor R. Szedmak, John R. Shawe taylor posted to cca cholesky_decomposition image_retrieval kernel_methods partial_graham_schmidt_orthogonalization by markstoehr on 2009-04-03 04:40:35 as along with 4 people abellogin mdobrink daniel51 zzb3886
	A least squares formulation for canonical correlation analysis [My Copy] In ICML '08: Proceedings of the 25th international conference on Machine learning (2008), pp. 1024-1031. by Liang Sun, Shuiwang Ji, Jieping Ye posted to cca least_squares machine_learning manifold_learning statistics by markstoehr on 2009-04-03 04:32:06 as along with 2 people and 1 group forefinger egibaja Multilabel Classification
	An RKHS for multi-view learning and manifold co-regularization [My Copy] In ICML '08: Proceedings of the 25th international conference on Machine learning (2008), pp. 976-983. by Vikas Sindhwani, David S. Rosenberg posted to kernel_methods machine_learning manifold_learning multiview_learning regularization rkhs statistics by markstoehr on 2009-04-03 04:29:45 as along with 1 person nliu82
	Nearly-Linear Time Algorithms for Preconditioning and Solving Symmetric, Diagonally Dominant Linear Systems [My Copy] (14 May 2007) by Daniel A. Spielman, Shang-Hua Teng posted to algorithm data_structure graph_theory linear_algebra linear_systems numerical_analysis spectral_graph_theory by markstoehr on 2009-04-03 04:25:26 as along with 2 people daniel51 ansobol
	An impossibility theorem for clustering [My Copy] (2002) by J. Kleinberg posted to clustering data_mining learning machine_learning theory by markstoehr on 2009-04-02 06:46:02 as along with 2 people jcgaleanoh qwermish
	Unsupervised word sense disambiguation rivaling supervised methods [My Copy] In In Proceedings of the 33rd Annual Meeting of the Association for Computational Linguistics (1995), pp. 189-196. by David Yarowsky posted to algorithm bootstrap linguistics machine_learning multiview_learning semi-supervised by markstoehr on 2009-04-01 23:47:35 as
	A Co-Regularization Approach to Semi-supervised Learning with Multiple Views [My Copy] In Proceedings of the Workshop on Learning with Multiple Views, 22nd ICML (2005) by Vikas Sindhwani, Partha Niyogi, Mikhail Belkin posted to co-training machine_learning multiview_learning regularization rls svm by markstoehr on 2009-04-01 23:43:14 as along with 1 person nliu82
	Learning Classification with Unlabeled Data [My Copy] by In Cowan, G. Tesauro, Virginia R. De Sa posted to machine_learning multiview_learning semi-supervised by markstoehr on 2009-04-01 23:26:49 as
	Statistical Arbitrage and Optimal Trading with Transaction Costs in Futures Markets [My Copy] (22 Jan 2008) by Theodoros Tsagaris posted to convex_analysis duality martingale_representation portfolio_process statistical_arbitrage stock transaction_cost utility_maximization by markstoehr on 2009-02-28 23:05:12 as
	Dynamic modeling of mean-reverting spreads for statistical arbitrage [My Copy] (12 Aug 2008) by Kostas Triantafyllopoulos, Giovanni Montana posted to bayesian data_mining gaussian machine_learning mean_reversion monte_carlo online_algorithm statistical_arbitrage stocks time_series by markstoehr on 2009-02-27 05:48:46 as along with 1 person dah
	Flexible least squares for temporal data mining and statistical arbitrage [My Copy] Expert Syst. Appl., Vol. 36, No. 2. (2009), pp. 2819-2830. by Giovanni Montana, Kostas Triantafyllopoulos, Theodoros Tsagaris posted to data_mining finance kalman_filter least_squares statistical_arbitrage temporal time_series by markstoehr on 2009-02-27 05:46:13 as
	Applications of AR-GRNN model for financial time series forecasting [My Copy] Neural Computing & Applications*, Vol. 17, No. 5-6., pp. 441-448. by Weimin Li, Yishu Luo, Qin Zhu, Jianwei Liu, Jiajin Le posted to autoregressive finance forecasting stocks time_series by markstoehr on 2009-02-27 05:39:05 as
	Algebraic Signal Processing Theory [My Copy] (15 Dec 2006) by Markus Pueschel, Jose M. F. Moura posted to algebra applied_algebra applied_mathematics filters introduction signal_processing tutorial by markstoehr on 2009-02-04 01:03:22 as
	Rapid bootstrapping of statistical spoken dialogue systems☆ [My Copy] Speech Communication, Vol. 50, No. 7. (July 2008), pp. 580-593. by R. Sarikaya posted to asr boost cs dialog_systems interesting machine_learning signal_processing speech speech_recognition spoken statistics by markstoehr on 2009-02-03 22:21:45 as along with 1 person lgalescu
	A mobile multimodal dialogue system for public transportation navigation evaluated [My Copy] In MobileHCI '06: Proceedings of the 8th conference on Human-computer interaction with mobile devices and services (2006), pp. 251-254. by Topi Hurtig posted to ai cs dialog_systems engineering hci human_computer_interaction by markstoehr on 2009-02-03 17:35:34 as
	Building Mobile Spoken Dialogue Applications Using Regulus [My Copy] In LREC 2008: Held under the High Patronage of His Majesty King Mohammed VI by Nikos Tsourakis, Maria Georgescul, Pierrette Bouillon, Manny Rayner posted to ai cs dialog_systems engineering hci human_computer_interaction mobile multimodal speech spoken by markstoehr on 2009-02-03 17:33:05 as
	Tropical Geometry of Statistical Models [My Copy] (26 January 2004) by Lior Pachter, Bernd Sturmfels posted to algebra algebraic_geometry applied_mathematics hmm mathematics probability statistics by markstoehr on 2009-02-03 03:03:09 as along with 1 person ansobol
	A Knowledge Discovery Framework for Learning Task Models from User Interactions in Intelligent Tutoring Systems [My Copy] (29 Jan 2009) by P. Fournier-Viger, R. Nkambou, Mephu E. Nguifo posted to ai cs framework hci human_computer_interaction intelligent_systems knowledge_discovery tutoring by markstoehr on 2009-02-02 22:56:21 as
	Hierarchical Sampling for Active Learning [My Copy] In Proceedings of the 23rd International Conference on Machine Learning by Lawrence Cayton, Sanjoy Dasgupta posted to no-tag by markstoehr on 2009-01-29 02:35:38 as
	Group-theoretic algorithms for matrix multiplication [My Copy] (18 Nov 2005) by Henry Cohn, Robert Kleinberg, Balazs Szegedy, Christopher Umans posted to algorithm cs group_theory linear_algebra mathematics matrix_multiplication strassen tcs theory by markstoehr on 2009-01-29 01:59:05 as along with 4 people dfdeshom ansobol jrw BarrosH
	General Game Playing: Overview of the AAAI Competition [My Copy] (9 March 2005) by Michael Genesereth, Nathaniel Love posted to artificial_intelligence computer_science general_game_playing by markstoehr on 2009-01-28 19:04:17 as
	Knowledge Generation for Improving Simulations in UCT for General Game Playing [My Copy] AI 2008: Advances in Artificial Intelligence (2008), pp. 49-55. by Shiven Sharma, Ziad Kobti, Scott Goodwin posted to general_game_playing monte_carlo reinforcement_learning uct by markstoehr on 2009-01-28 18:54:25 as
	A platform for evolving intelligently interactive adversaries [My Copy] Biosystems, Vol. 85, No. 1. (July 2006), pp. 72-83. by D. Fogel, T. Hays, D. Johnson posted to ai games machine_learning software by markstoehr on 2009-01-28 09:46:38 as
	Playing to learn: case-injected genetic algorithms for learning to play computer games [My Copy] Evolutionary Computation, IEEE Transactions on In Evolutionary Computation, IEEE Transactions on, Vol. 9, No. 6. (2005), pp. 669-681. by S. J. Louis, C. Miles posted to ai algorithm application cs genetic_algorithm by markstoehr on 2009-01-28 09:03:14 as
	Unequal rate of monozygotic and like-sex dizygotic twin birth: Evidence from the Minnesota twin family study [My Copy] Behavior Genetics, Vol. 25, No. 4. (30 July 1995), pp. 337-340. by Yoon-Mi Hur, Matt Mcgue, William Iacono posted to genetics statistics by markstoehr on 2008-10-14 17:03:48 as
	Meaning Games [My Copy] New Frontiers in Artificial Intelligence (2008), pp. 228-241. by Kôiti Hasida, Shun Shiramatsu, Kazunori Komatani, Tetsuya Ogata, Hiroshi Okuno posted to ai communication game_theory machine_learning meaning by markstoehr on 2008-10-08 00:21:40 as

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