shivak's file-import-09-07-01 [96 articles] Export

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	Optimal aggregation of classifiers in statistical learning [My Copy] Annals of Statistics, Vol. 32 (2004), pp. 135-166. by Alexandre B. Tsybakov posted to file-import-09-07-01 by shivak on 2009-07-01 20:23:28 as
	Active Learning Literature Survey [My Copy] No. 1648. (2009) by Burr Settles posted to active-learning file-import-09-07-01 survey by shivak on 2009-07-01 20:23:28 as
	Analysis and Visualization of Classifier Performance: Comparison under Imprecise Class and Cost Distributions [My Copy] In In Proceedings of the Third International Conference on Knowledge Discovery and Data Mining (1997), pp. 43-48. by Foster Provost, Tom Fawcett posted to evaluation file-import-09-07-01 by shivak on 2009-07-01 20:23:28 as
	Learning theory: stability is sufficient for generalization and necessary and sufficient for consistency of empirical risk minimization [My Copy] Adv. Comput. Math., Vol. 25, No. 1-3. (2006), pp. 161-193. by Sayan Mukherjee, Partha Niyogi, Tomaso Poggio, Ryan M. Rifkin posted to file-import-09-07-01 by shivak on 2009-07-01 20:23:28 as
	A comparative evaluation of interactive segmentation algorithms [My Copy] Pattern Recognition (March 2009) by Kevin Mcguinness, Noel E. O’connor posted to classifiers evaluation file-import-09-07-01 growing image region segmentation thresholding by shivak on 2009-07-01 20:23:28 as
	An Image Database Browser that Learns from User Interaction [My Copy] (1996) by T. Minka posted to file-import-09-07-01 retrieval by shivak on 2009-07-01 20:23:27 as
	Risk bounds for statistical learning [My Copy] ANNALS OF STATISTICS, Vol. 34 (2006) by Pascal Massart, Elodie Nedelec posted to file-import-09-07-01 by shivak on 2009-07-01 20:23:27 as
	Smooth discrimination analysis [My Copy] Ann. Statist, Vol. 27 (1999), pp. 1808-1829. by Enno Mammen, Alexandre B. Tsybakov posted to file-import-09-07-01 by shivak on 2009-07-01 20:23:27 as
	Learnability and the doubling dimension [My Copy] In NIPS (2006), pp. 889-896. by Yi Li, Philip M. Long posted to file-import-09-07-01 by shivak on 2009-07-01 20:23:27 as along with 1 person idlebrain
	An adaptive resource-allocating network for automated detection, segmentation, and classification of breast cancer nuclei topic area: image processing and recognition [My Copy] Neural Networks, IEEE Transactions on, Vol. 14, No. 3. (May 2003), pp. 680-687. by Kyoung M. Lee, W. N. Street posted to file-import-09-07-01 medicalimaging by shivak on 2009-07-01 20:23:27 as
	Changepoint Estimation Under Adaptive Sampling [My Copy] Annals of Statistics (2008) by Moulinath, George Michailidis posted to file-import-09-07-01 by shivak on 2009-07-01 20:23:27 as
	Selecting Observations Against Adversarial Objectives [My Copy] In In Advances in Neural Information Processing Systems (NIPS) (December 2007) by Andreas Krause, Brendan Mcmahan, Carlos Guestrin, Anupam Gupta posted to file-import-09-07-01 machinelearning by shivak on 2009-07-01 20:23:27 as
	2004 IMS Medallion Lecture: Local Rademacher complexities and oracle inequalities in risk minimization [My Copy] ANNALS OF STATISTICS, Vol. 34 (2006) by Vladimir Koltchinskii posted to file-import-09-07-01 by shivak on 2009-07-01 20:23:27 as
	Active learning in the non-realizable case [My Copy] In NIPS Workshop on Foundations of Active Learning (2006) by Matti Kääriäinen posted to file-import-09-07-01 by shivak on 2009-07-01 20:23:27 as
	Agnostically Learning Halfspaces [My Copy] In FOCS '05: Proceedings of the 46th Annual IEEE Symposium on Foundations of Computer Science (2005), pp. 11-20. by Adam T. Kalai, Adam R. Klivans, Yishay Mansour, Rocco A. Servedio posted to file-import-09-07-01 by shivak on 2009-07-01 20:23:27 as
	Batch mode active learning and its application to medical image classification [My Copy] In ICML '06: Proceedings of the 23rd international conference on Machine learning (2006), pp. 417-424. by Steven C. H. Hoi, Rong Jin, Jianke Zhu, Michael R. Lyu posted to activelearning file-import-09-07-01 by shivak on 2009-07-01 20:23:27 as
	Theoretical Foundations of Active Learning [My Copy] (Apr 2009) by Steve Hanneke posted to activelearning file-import-09-07-01 by shivak on 2009-07-01 20:23:27 as
	Rates of Convergence in Active Learning [My Copy] (2009) by Steve Hanneke posted to file-import-09-07-01 by shivak on 2009-07-01 20:23:27 as
	Teaching Dimension and the Complexity of Active Learning [My Copy] In COLT, Vol. 4539 (2007), pp. 66-81. by Steve Hanneke edited by Nader H. Bshouty, Claudio Gentile posted to activelearning file-import-09-07-01 by shivak on 2009-07-01 20:23:27 as
	A bound on the label complexity of agnostic active learning [My Copy] In ICML '07: Proceedings of the 24th international conference on Machine learning (2007), pp. 353-360. by Steve Hanneke posted to file-import-09-07-01 by shivak on 2009-07-01 20:23:27 as
	Distilled sensing: selective sampling for sparse signal recovery [My Copy] In Proceedings of The 12th International Conference on Artificial Intelligence and Statistics (2009) by J. Haupt, R. Castro, R. Nowak posted to activelearning file-import-09-07-01 by shivak on 2009-07-01 20:23:27 as
	On the Power of Membership Queries in Agnostic Learning [My Copy] In COLT (2008), pp. 147-156. by Vitaly Feldman posted to file-import-09-07-01 by shivak on 2009-07-01 20:23:27 as
	ProActive Learning: Towards Cost-Sensitive Active Learning with Multiple Imperfect Oracles [My Copy] (2008) by Pinar Donmez posted to activelearning file-import-09-07-01 by shivak on 2009-07-01 20:23:27 as
	Analysis of Perceptron-Based Active Learning [My Copy] In COLT (2005), pp. 249-263. by Sanjoy Dasgupta, Adam T. Kalai, Claire Monteleoni posted to activelearning file-import-09-07-01 by shivak on 2009-07-01 20:23:27 as
	A general agnostic active learning algorithm. [My Copy] In NIPS (2007) by Sanjoy Dasgupta, Daniel Hsu, Claire Monteleoni edited by John C. Platt, Daphne Koller, Yoram Singer, Sam T. Roweis posted to file-import-09-07-01 by shivak on 2009-07-01 20:23:27 as
	Coarse sample complexity bounds for active learning [My Copy] In Advances in Neural Information Processing Systems 18 (2006), pp. 235-242. by Sanjoy Dasgupta edited by Y. Weiss, B. Schölkopf, J. Platt posted to activelearning file-import-09-07-01 by shivak on 2009-07-01 20:23:26 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 file-import-09-07-01 by shivak on 2009-07-01 20:23:26 as
	Improving Generalization with Active Learning [My Copy] Mach. Learn., Vol. 15, No. 2. (1994), pp. 201-221. by David Cohn, Les Atlas, Richard Ladner posted to file-import-09-07-01 by shivak on 2009-07-01 20:23:26 as
	The True Sample Complexity of Active Learning [My Copy] In COLT (2008), pp. 45-56. by Maria F. Balcan, Steve Hanneke, Jennifer Wortman posted to activelearning file-import-09-07-01 by shivak on 2009-07-01 20:23:26 as
	Bayesian compressive sensing [My Copy] IEEE Trans. on Signal Processing, Vol. 56, No. 2. (2008) by Shihao Ji, Ya Xue, Lawrence Carin posted to file-import-09-07-01 by shivak on 2009-07-01 20:23:26 as
	Sparse bayesian learning for basis selection [My Copy] IEEE Trans. on Signal Processing, Special Issue on Machine Learning Methods in Signal Processing, Vol. 52 (2004) by D. P. Wipf, B. D. Rao posted to file-import-09-07-01 by shivak on 2009-07-01 20:23:26 as
	Optimized projections for compressed sensing [My Copy] IEEE Trans. on Signal Processing, Vol. 55, No. 12. (2007), pp. 5695-5702. by Michael Elad posted to file-import-09-07-01 by shivak on 2009-07-01 20:23:26 as
	Random projections for manifold learning [My Copy] In In Advances in Neural Information Processing Systems (2007) by Chinmay Hegde, Michael Wakin, Richard Baraniuk posted to file-import-09-07-01 by shivak on 2009-07-01 20:23:26 as
	An Homotopy Algorithm for the Lasso with Online Observations [My Copy] In In Advances in Neural Information Processing Systems (2008) by Pierre J. Garrigues, Laurent E. Ghaoui posted to file-import-09-07-01 by shivak on 2009-07-01 20:23:26 as
	Evolvability from learning algorithms [My Copy] In STOC '08: Proceedings of the 40th annual ACM symposium on Theory of computing (2008), pp. 619-628. by Vitaly Feldman posted to evolutionary file-import-09-07-01 by shivak on 2009-07-01 20:23:26 as
	Evolvability. [My Copy] Electronic Colloquium on Computational Complexity (ECCC), Vol. 13, No. 120. (2006) by Leslie G. Valiant posted to evolutionary file-import-09-07-01 by shivak on 2009-07-01 20:23:26 as
	Evaluation of uterine cervix segmentations using ground truth from multiple experts [My Copy] Computerized Medical Imaging and Graphics, Vol. 33, No. 3. (2009) by Shiri Gordon, Shelly Lotenberg, Rodney Long, Sameer Antani, Jose Jeronimo, Hayit Greenspan posted to evaluation file-import-09-07-01 by shivak on 2009-07-01 20:23:26 as
	Evaluation for uncertain image classification and segmentation [My Copy] Pattern Recogn., Vol. 39, No. 11. (2006), pp. 1987-1995. by Arnaud Martin, Hicham Laanaya, Andreas A. Bos posted to evaluation file-import-09-07-01 by shivak on 2009-07-01 20:23:26 as
	Consistency of Random Forests and Other Averaging Classifiers [My Copy] J. Mach. Learn. Res., Vol. 9 (2008), pp. 2015-2033. by Gérard Biau, Luc Devroye, Gábor Lugosi posted to file-import-09-07-01 machinelearning by shivak on 2009-07-01 20:23:26 as
	Confidence bands for ROC curves [My Copy] Journal of Statistical Planning and Inference, Vol. 138, No. 6. (Jul 2008), pp. 1894-1904. by Lajos Horváth, Zsuzsanna Horváth, Wang Zhou posted to evaluation file-import-09-07-01 by shivak on 2009-07-01 20:23:26 as
	Comparison of GENIE and conventional supervised classifiers for multispectral image feature extraction [My Copy] IEEE Transactions on Geoscience and Remote Sensing, Vol. 40, No. 2. (February 2002), pp. 393-404. by Neal R. Harvey, James Theiler, Steven P. Brumby, et al.Simon Perkins, John J. Szymanski, Jeffrey J. Bloch, Reid B. Porter, Mark Galassi, A. Cody Young posted to evolutionary file-import-09-07-01 by shivak on 2009-07-01 20:23:26 as
	Building kernels from binary strings for image matching [My Copy] Image Processing, IEEE Transactions on, Vol. 14 (2005), pp. 169-180. by F. Odone, A. Barla, A. Verri posted to bibtex-import file-import-09-07-01 image-kernel image-processing kernels machine-learning by shivak on 2009-07-01 20:23:26 as
	Bridging the Gap: Enabling CBIR in Medical Applications [My Copy] In CBMS (2008), pp. 4-6. by Sameer Antani, L. Rodney Long, George R. Thoma posted to file-import-09-07-01 medical by shivak on 2009-07-01 20:23:26 as
	Bimodal System for Interactive Indexing and Retrieval of Pathology Images [My Copy] In WACV '98: Proceedings of the 4th IEEE Workshop on Applications of Computer Vision (WACV'98) (1998) by Dorin Comaniciu, Peter Meer, David Foran, Attila Medl posted to file-import-09-07-01 medical by shivak on 2009-07-01 20:23:25 as
	Minimax Bounds for Active Learning [My Copy] In COLT (2007), pp. 5-19. by Rui Castro, Robert D. Nowak posted to file-import-09-07-01 by shivak on 2009-07-01 20:23:25 as
	Foundations and Applications of Sensor Management [My Copy] (2007) by Rui Castro, Robert Nowak posted to file-import-09-07-01 by shivak on 2009-07-01 20:23:25 as
	Compressed Sensing Vs. Active Learning [My Copy] In Acoustics, Speech and Signal Processing, 2006. ICASSP 2006 Proceedings (2006) by R. Castro, J. Haupt, R. Nowak posted to activelearning file-import-09-07-01 by shivak on 2009-07-01 20:23:25 as
	Importance Weighted Active Learning [My Copy] CoRR, Vol. abs/0812.4952 (2008) by Alina Beygelzimer, Sanjoy Dasgupta, John Langford posted to file-import-09-07-01 by shivak on 2009-07-01 20:23:25 as
	Kernels as features: On kernels, margins, and low-dimensional mappings [My Copy] Mach. Learn., Vol. 65, No. 1. (2006), pp. 79-94. by Maria F. Balcan, Avrim Blum, Santosh Vempala posted to file-import-09-07-01 by shivak on 2009-07-01 20:23:25 as
	Agnostic active learning [My Copy] In ICML '06: Proceedings of the 23rd international conference on Machine learning (2006), pp. 65-72. by Maria F. Balcan, Alina Beygelzimer, John Langford posted to activelearning file-import-09-07-01 by shivak on 2009-07-01 20:23:25 as

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file-import-09-07-01	96
learning_theory	32
computational_learning_theory	17
evaluation	16
theoretical_computer_science	16
activelearning	14
machine_learning	14
statistics	14
probability	13
dependent_data	11
sequential_decisions	11
resampling	10
books	9
concentration_of_measure	9
convexity	9
model_selection	9
stochastic_processes	9
empirical_processes	8
compressed_sensing	7
game_theory	7
medical	7
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surveys	7
evolution	6
prediction	6
surrogate_loss	6
type_systems	6
bounded_rationality	5
combinatorics	5
covariate_shift	5
graphical_models	5
hypothesis_testing	5
information_theory	5
machinelearning	5
mechanism_design	5
optimization	5
rademacher_complexity	5
sparsity	5
active_learning	4
capacity_control	4
categories	4
data_structures	4
economics	4
evolutionary	4
group_testing	4
kernel_methods	4
martingales	4
randomness	4
sampling	4
stopping_times	4
vision	4
algorithms	3
approximation_algorithms	3
computational_efficiency	3
cryptography	3
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finance	3
frequentism	3
geometry	3
graph_theory	3
information_design	3
margins	3
numerical_methods	3
prequentialism	3
proof_techniques	3
regression	3
regularization	3
software	3
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automata	2
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boosting	2
circuits	2
classification	2
cmu	2
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empirical_risk_minimization	2
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generating_functions	2
hashing	2
haskell	2
huh	2
ill_posed_problems	2
incentives	2
interactive_proofs	2
i_want_my_five_minutes_back	2
localization	2
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modeling	2
monte_carlo_methods	2
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parallelism	2
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proofs	2
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teaching	1
textures	1
thresholding	1
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shivak's file-import-09-07-01 [96 articles] Export

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