Tag pac [20 articles] Export

Recent papers classified by the tag pac.

	Machine Learning [My Copy] (01 March 1997) by Tom M. Mitchell posted to pac machine-learning by gagliol on 2009-10-18 17:00:18 as along with 40 people and 4 groups gavin1332 pinventado q_w_e_r_t_y librain gabriprat gokopal fiacobelli bgibson zhanwei agogoh3 ogenex imrchen gr650 ianwelch frohike misovalko harperf lrozo pdlug yaroslavvb jelsas kmregan carueda jounih buescher76 mthomure hansjoergmueller brunomelo cerkut jvangael ajylha girschick zchen teesid dquercia robotact jdu sfeige bundschu markusd TKU_CS DB Lab AI RiSE contact-id
	Comparison between replacement at 4 days and 7 days of the infection rate for pulmonary artery catheters in an intensive care unit. [My Copy] Critical care medicine, Vol. 31, No. 5. (May 2003), pp. 1353-1358. by Yin-Yin Y. Chen, David Hung-Tsang H. Yen, Yang-Guang G. Yang, Cheng-Yi Y. Liu, Fu-Der D. Wang, Pesus Chou posted to pulmonary_artery_catheter pac crbsi blood_stream_infection by dcvanpelt on 2009-10-17 00:42:23 as
	Learning from noisy examples [My Copy] Machine Learning, Vol. 2, No. 4. (1 April 1988), pp. 343-370. by Dana Angluin, Philip Laird posted to probable pac noise label correct approximately by sancho on 2009-09-01 04:43:02 as
	R-max - a general polynomial time algorithm for near-optimal reinforcement learning [My Copy] Journal of Machine Learning Research, Vol. 3 (2002), pp. 213-231. by Ronen I. Brafman, Moshe Tennenholtz posted to learning mdp pac reinforcement theory by tryingtolearn on 2009-02-04 14:59:08 as along with 1 person bsilverthorn
	Algorithms and Bounds for Rollout Sampling Approximate Policy Iteration [My Copy] (18 Jul 2008) by Christos Dimitrakakis, Michail G. Lagoudakis posted to approximate bounds iteration learning pac policy reinforcement rollout sampling by olethros on 2009-02-03 07:55:00 as
	The experience of worry in parentadult child relationships [My Copy] Personal Relationships, Vol. 14, No. 4. (December 2007), pp. 605-622. by Elizabeth L. Hay, Karen L. Fingerman, Eva S. Lefkowitz posted to berne pac by Bertiei on 2008-11-29 00:36:50 as
	PAC-Bayesian model averaging [My Copy] In COLT '99: Proceedings of the twelfth annual conference on Computational learning theory (1999), pp. 164-170. by David A. Mcallester posted to averaging bayesian language-model nlp pac by kvorg to the group NLP on 2008-11-18 13:39:55 as along with 1 person and 2 groups b6s STS OpenVanilla
	Which general intensive care unit patients can benefit from placement of the pulmonary artery catheter? [My Copy] Critical Care, Vol. 10, No. Suppl 3. (2006) by Didier Payen, Etienne Gayat posted to pac by faraz on 2008-06-30 19:42:04 as
	Pulmonary artery catheters [My Copy] BMJ, Vol. 333, No. 7575. (4 November 2006), pp. 930-931. by Simon Finfer, Anthony Delaney posted to against pac by faraz on 2008-06-18 16:01:19 as
	Approximating hyper-rectangles: learning and pseudo-random sets [My Copy] In STOC '97: Proceedings of the twenty-ninth annual ACM symposium on Theory of computing (1997), pp. 314-323. by Peter Auer, Philip M. Long, Aravind Srinivasan posted to mil pac theory by bbabenko on 2008-04-04 19:44:31 as
	On Learning From Multi-Instance Examples: Empirical Evaluation of a Theoretical Approach [My Copy] In ICML '97: Proceedings of the Fourteenth International Conference on Machine Learning (1997), pp. 21-29. by Peter Auer posted to mil pac theory by bbabenko on 2008-03-03 00:21:14 as
	PAC Learning Axis-aligned Rectangles with Respect to Product Distributions from Multiple-Instance Examples [My Copy] Machine Learning, Vol. 30, No. 1. (1 January 1998), pp. 7-21. by Philip M. Long, Lei Tan posted to mil pac theory by bbabenko on 2008-03-03 00:16:04 as
	Discriminative learning can succeed where generative learning fails [My Copy] Inf. Process. Lett., Vol. 103, No. 4. (August 2007), pp. 131-135. by Philip M. Long, Rocco A. Servedio, Hans U. Simon posted to characterisation discriminative generative pab pac theory by mdreid on 2008-01-08 01:30:46 as along with 1 person ulmer
	A Theory of the Learnable [My Copy] Commun. ACM, Vol. 27, No. 11. (1984), pp. 1134-1142. by Leslie G. Valiant posted to learning-theory pac statsnlp by bhaddow on 2007-11-30 17:30:46 as along with 1 person lfdoherty
	Links between probabilistic automata and hidden Markov models: probability distributions, learning models and induction algorithms [My Copy] Pattern Recognition, Vol. 38, No. 9. (September 2005), pp. 1349-1371. by P. Dupont, F. Denis, Y. Esposito posted to automata bayesian hmm pac by kvorg on 2007-10-21 21:22:08 as along with 6 people and 1 group gabgas m_bertini charibeiro livingthingdan rabio metrozz livingthing
	Part 1: Overview of the Probably Approximately Correct (PAC) Learning Framework [My Copy] by David Haussler posted to framework pac by Mohan-S on 2007-04-25 15:25:57 as
	PAC Learning Mixtures of Axis-Aligned Gaussians with No Separation Assumption [My Copy] (16 Sep 2006) by Jon Feldman, Ryan O'Donnell, Rocco A. Servedio posted to machine-learning pac by float on 2006-10-28 20:38:09 as along with 2 groups automatic_summarization NLP
	Mammalian artificial chromosome formation from circular alphoid input DNA does not require telomere repeats. [My Copy] Hum Mol Genet, Vol. 9, No. 11. (1 July 2000), pp. 1623-1631. by T. A. Ebersole, A. Ross, E. Clark, et al.N. McGill, D. Schindelhauer, H. Cooke, B. Grimes posted to artificial chromosome pac telomere vector by Schindelhauer on 2005-07-15 13:32:47 as
	PAC-learnability of Probabilistic Deterministic Finite State Automata [My Copy] J. Mach. Learn. Res., Vol. 5 (2004), pp. 473-497. by Alexander Clark, Franck Thollard posted to fsa learning pac by davidbrooks on 2005-04-20 13:09:34 as
	The Sample Complexity of Learning Fixed-Structure Bayesian Networks [My Copy] Mach. Learn., Vol. 29, No. 2-3. (1997), pp. 165-180. by Sanjoy Dasgupta posted to bayesnet mlrg pac statistical-learning-theory by yaroslavvb on 2005-03-04 03:29:00 as

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theory	5
bayesian	4
learning	4
machine-learning	4
mil	3
automata	2
averaging	2
hmm	2
language-model	2
nlp	2
reinforcement	2
against	1
algorithms	1
approximate	1
approximately	1
artificial	1
bayesnet	1
berne	1
blood_stream_infection	1
bounds	1
characterisation	1
chromosome	1
correct	1
crbsi	1
discriminative	1
framework	1
fsa	1
generative	1
grammar	1
hidden	1
induction	1
iteration	1
itri	1
label	1
learning-theory	1
markov	1
mdp	1
mlrg	1
models	1
noise	1
pab	1
policy	1
probabilistic	1
probable	1
pulmonary_artery_catheter	1
rollout	1
sampling	1
statistical-learning-theory	1
statsnlp	1
telomere	1
topology	1
vector	1

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