shivak's machine_learning [14 articles] Export

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	Replicability is not Reproducibility [My Copy] by Chris Drummond posted to i_want_my_five_minutes_back libre machine_learning methodology software by shivak on 2009-07-16 04:31:11 as
	Visualizing Topics with Multi-Word Expressions [My Copy] (6 Jul 2009) by David M. Blei, John D. Lafferty posted to information_design machine_learning topic_models by shivak on 2009-07-09 05:02:35 as along with 3 people maximzhao deanmalmgren dah
	Margin Trees for High-dimensional Classification [My Copy] Journal of Machine Learning Research, Vol. 8 (March 2007), pp. 637-652. by Robert Tibshirani, Trevor Hastie posted to decision_trees huh interpretability machine_learning margins by shivak on 2009-07-02 02:32:20 as
	Exploiting domain and task regularities for robust named entity recognition [My Copy] by Andrew Arnold posted to covariate_shift dependent_data machine_learning by shivak on 2009-07-02 02:31:28 as
	Kernel methods in machine learning [My Copy] (1 Jul 2008) by Thomas Hofmann, Bernhard Schölkopf, Alexander J. Smola posted to kernel_methods learning_theory machine_learning surveys by shivak on 2009-07-02 02:20:43 as along with 1 person sugarexpletive
	Information, Divergence and Risk for Binary Experiments [My Copy] (5 Jan 2009) by Mark D. Reid, Robert C. Williamson posted to hypothesis_testing information_theory learning_theory machine_learning surrogate_loss surveys by shivak on 2009-07-02 00:57:27 as along with 3 people and 1 group sbarthelme mmorzy mdreid Statistical Machine Learning
	Sample Selection Bias Correction Theory [My Copy] by Corinna Cortes, Mehryar Mohri, Michael Riley, Afshin Rostamizadeh posted to covariate_shift learning_theory machine_learning semi-supervised_learning by shivak on 2009-07-02 00:54:58 as
	A more robust boosting algorithm [My Copy] (13 May 2009) by Yoav Freund posted to computational_learning_theory convexity ensemble_methods machine_learning by shivak on 2009-07-02 00:24:56 as along with 2 people and 1 group jjrodriguez mdreid Statistical Machine Learning
	Random projection trees and low dimensional manifolds [My Copy] by Sanjoy Dasgupta, Yoav Freund posted to data_structures machine_learning random_projections by shivak on 2009-07-01 23:50:40 as
	Compressed Learning: Universal Sparse Dimensionality Reduction and Learning in the Measurement Domain [My Copy] by Robert Calderbank, Sina Jafarpour, Robert Schapire posted to compressed_sensing dimensionality_reduction machine_learning sparsity by shivak on 2009-07-01 19:43:47 as
	Feature Hashing for Large Scale Multitask Learning [My Copy] (21 May 2009) by Kilian Weinberger, Anirban Dasgupta, Josh Attenberg, John Langford, Alex Smola posted to concentration_of_measure dimensionality_reduction hashing learning_theory machine_learning sparsity by shivak on 2009-07-01 19:41:54 as
	Stacked Generalization [My Copy] Neural Networks, Vol. 5 (1992), pp. 241-259. by David H. Wolpert posted to ensemble_methods machine_learning by shivak on 2009-07-01 19:09:19 as along with 3 people installe haiyeong tarampam
	Dataset shift in machine learning [My Copy] by Joaquin Quiñonero-Candela, Masashi Sugiyama, Anton Schwaighofer, Neil D. Lawrence posted to covariate_shift machine_learning by shivak on 2009-07-01 17:39:31 as
	The True Sample Complexity of Active Learning [My Copy] by Maria-Florina Balcan, Steve Hanneke, Jennifer Wortman posted to active_learning computational_learning_theory learning_theory machine_learning by shivak on 2009-07-01 17:31:30 as

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learning_theory	32
computational_learning_theory	17
evaluation	16
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activelearning	14
machine_learning	14
statistics	14
probability	13
dependent_data	11
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convexity	9
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stochastic_processes	9
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compressed_sensing	7
game_theory	7
medical	7
sensitivity	7
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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
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rademacher_complexity	5
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active_learning	4
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phase_transitions	1
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