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	The Effects of Training Set Size on Decision Tree Complexity [My Copy] In ICML '97: Proceedings of the Fourteenth International Conference on Machine Learning (1997), pp. 254-262. by Tim Oates, David Jensen posted to learning by bigga on 2009-04-22 14:53:25 as
	Readings in Machine Learning (The Morgan Kaufmann Series in Machine Learning) [My Copy] (01 June 1990) posted to decision-making learning by bigga on 2008-06-08 23:24:28 as
	Anytime Learning of Decision Trees [My Copy] J. Mach. Learn. Res., Vol. 8 (2007), pp. 891-933. by Saher Esmeir, Shaul Markovitch posted to anytime learning by bigga on 2008-04-08 11:19:45 as
	Wrappers for Feature Subset Selection [My Copy] Artificial Intelligence, Vol. 97, No. 1-2. (1997), pp. 273-324. by Ron Kohavi, George H. John posted to feature-selection learning by bigga on 2008-03-22 11:39:21 as along with 8 people andigoni sona tsoumakas kutabar gkvas dimatura NinaG soleil_gurl
	Classifying under computational resource constraints: anytime classification using probabilistic estimators [My Copy] Machine Learning by Ying Yang, Geoff Webb, Kevin Korb, Kai Ting posted to anytime learning by bigga on 2008-03-11 21:29:11 as along with 1 person dayadvham
	A formal framework and extensions for function approximation in learning classifier systems [My Copy] Machine Learning, Vol. 70, No. 1. (7 January 2008), pp. 45-88. by Jan Drugowitsch, Alwyn Barry posted to learning by bigga on 2008-03-11 21:27:10 as
	How to get a free lunch: A simple cost model for machine learning applications [My Copy] (1998) by P. Domingos posted to learning by bigga on 2008-03-11 20:06:16 as
	A Simple Relational Classifier [My Copy] (2003) by S. Macskassy, F. Provost posted to learning by bigga on 2008-03-11 19:47:11 as
	A Probabilistic Framework for Tracking Deformable Soft Tissue in Minimally Invasive Surgery [My Copy] Medical Image Computing and Computer-Assisted Intervention – MICCAI 2007 (2007), pp. 34-41. by Peter Mountney, Benny Lo, Surapa Thiemjarus, Danail Stoyanov, Guang Zhong-Yang posted to features learning by bigga on 2008-03-03 01:32:51 as along with 1 person Scis0000002
	Bayesian classification theory [My Copy] (1991) by Robin Hanson, John Stutz, Peter Cheeseman posted to clustering learning by bigga on 2008-02-15 14:44:19 as
	A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms [My Copy] Mach. Learn., Vol. 40, No. 3. (September 2000), pp. 203-228. by Tjen-Sien Lim, Wei-Yin Loh, Yu-Shan Shih posted to evaluation learning prediction regression by bigga on 2007-12-12 21:12:45 as along with 2 people and 1 group xiaoyan2006 Ridz VT_DLRL
	A Gentle Tutorial on the EM Algorithm and its Application to Parameter Estimation for Gaussian Mixture and Hidden Markov Models [My Copy] (1997) by J. Bilmes posted to clustering learning stats by bigga on 2007-12-03 15:10:03 as along with 11 people and 4 groups Quixote m0ta danpopovici oannes pool007 nojhan sugarexpletive vitalaswp3 360varial asterix77 eddymier EvolutionaryComputation Regulomics_UCHSC Metaheuristics Optimization
	Some Methods of Classification and Analysis of Multivariate Observations [My Copy] In Proceedings of the Fifth Berkeley Symposium on Mathemtical Statistics and Probability (1967), pp. 281-297. by J. B. Macqueen posted to clustering learning by bigga on 2007-11-28 16:55:40 as along with 3 people purplecrown swapn filippone
	Byte me: a case for byte accuracy in traffic classification [My Copy] In MineNet '07: Proceedings of the 3rd annual ACM workshop on Mining network data (2007), pp. 35-38. by Jeffrey Erman, Anirban Mahanti, Martin Arlitt posted to behaviors-detection learning modeling network prediction traffic-modeling by bigga on 2007-10-26 11:34:16 as
	Data Mining and Knowledge Discovery Handbook [My Copy] (01 September 2005) by O. Maimon, L. Rokach posted to learning prediction regression by bigga on 2007-10-26 11:25:51 as
	Multi-Dimensional Recurrent Neural Networks [My Copy] In International Conference on Artificial Neural Networks (14 May 2007) by Alex Graves, Santiago Fernandez, Juergen Schmidhuber posted to learning by bigga on 2007-10-24 14:33:14 as along with 1 person sato-ryu
	Discriminant Analysis and Statistical Pattern Recognition (Wiley Series in Probability and Statistics) [My Copy] (04 August 2004) by Geoffrey J. Mclachlan posted to learning stats by bigga on 2007-10-11 09:45:25 as
	Instance-Based Learning Algorithms [My Copy] Machine Learning, Vol. 6, No. 1. (1 January 1991), pp. 37-66. by David W. Aha, Dennis Kibler, Marc K. Albert posted to learning by bigga on 2007-08-01 14:37:32 as along with 1 person andersonhummel
	A Scalable Algorithm for Rule Post-pruning of Large Decision Trees [My Copy] Advances in Knowledge Discovery and Data Mining: 5th Pacific-Asia Conference, PAKDD 2001 Hong Kong, China, April 2001, Proceedings: (2001), 467. by Trong D. Nguyen, Tu B. Ho, Hiroshi Shimodaira posted to learning by bigga on 2007-08-01 14:13:58 as
	A Comparison of Prediction Accuracy, Complexity, and Training Time of Thirty-Three Old and New Classification Algorithms [My Copy] Machine Learning, Vol. 40, No. 3. (2000), pp. 203-228. by Tjen S. Lim, Wei Y. Loh, Yu S. Shih posted to evaluation learning by bigga on 2007-07-30 17:40:42 as
	A Preliminary Performance Comparison of Five Machine Learning Algorithms for Practical IP Traffic Flow Classification [My Copy] ACM SIGCOMM Computer Communication Review, Vol. 36, No. 5. (October 2006) by Nigel Williams, Sebastian Zander, Grenville Armitage posted to behaviors-detection learning legacy-application network by bigga on 2007-07-27 14:51:46 as
	Internet traffic classification using bayesian analysis techniques [My Copy] In SIGMETRICS '05: Proceedings of the 2005 ACM SIGMETRICS international conference on Measurement and modeling of computer systems, Vol. 33, No. 1. (June 2005), pp. 50-60. by Andrew W. Moore, Denis Zuev posted to behaviors-detection learning legacy-application by bigga on 2007-06-01 10:30:31 as along with 2 people urvoy sqazi
	Inductive and Deductive Learning Styles in Junior High School Mathematics: An Exploratory Study. [My Copy] Journal for Research in Mathematics Education, Vol. 3, No. 4. (November 1972), pp. 239-247. by Jane D. Gawronski posted to learning by bigga on 2007-05-16 12:28:04 as
	Note on free lunches and cross-validation [My Copy] Neural Comput., Vol. 9, No. 6. (August 1997), pp. 1245-1249. by Cyril Goutte posted to evaluation learning by bigga on 2007-05-12 20:32:54 as
	A Study of Cross-Validation and Bootstrap for Accuracy Estimation and Model Selection [My Copy] In IJCAI (1995), pp. 1137-1145. by Ron Kohavi posted to evaluation learning by bigga on 2007-05-12 20:27:32 as along with 10 people santhosh stanley chad_davis Ferran mad sdvillal lschilli fireman haiyeong Repton
	Evaluation and selection of biases in machine learning [My Copy] (1995) by M. Desjardins posted to evaluation learning by bigga on 2007-05-12 15:10:12 as
	BLINC: multilevel traffic classification in the dark [My Copy] In SIGCOMM '05: Proceedings of the 2005 conference on Applications, technologies, architectures, and protocols for computer communications (2005), pp. 229-240. by Thomas Karagiannis, Konstantina Papagiannaki, Michalis Faloutsos posted to behaviors-detection learning network by bigga on 2007-04-30 01:30:03 as along with 4 people and 2 groups awebb JoeVinegar jsterrel urvoy elan unc_cs_net
	Mining anomalies using traffic feature distributions [My Copy] In SIGCOMM '05: Proceedings of the 2005 conference on Applications, technologies, architectures, and protocols for computer communications (2005), pp. 217-228. by Anukool Lakhina, Mark Crovella, Christophe Diot posted to behaviors-detection learning network by bigga on 2007-04-30 01:28:09 as along with 1 person Kwisatz
	Data streaming algorithms for estimating entropy of network traffic [My Copy] SIGMETRICS Perform. Eval. Rev., Vol. 34, No. 1. (June 2006), pp. 145-156. by Ashwin Lall, Vyas Sekar, Mitsunori Ogihara, Jun Xu, Hui Zhang posted to behaviors-detection learning networking by bigga on 2007-04-30 01:02:52 as
	Efficient Mining of the Multidimensional Traffic Cluster Hierarchy for Digesting, Visualization, and Anomaly Identification [My Copy] Selected Areas in Communications, IEEE Journal on, Vol. 24, No. 10. (2006), pp. 1929-1941. by J. Wang, D. J. Miller, G. Kesidis posted to behaviors-detection learning network by bigga on 2007-04-30 01:00:47 as
	Quality-of-Service Routing for Supporting Multimedia Applications [My Copy] IEEE Journal of Selected Areas in Communications, Vol. 14, No. 7. (1996), pp. 1228-1234. by Zheng Wang, Jon Crowcroft posted to learning legacy-application network by bigga on 2007-04-16 11:33:36 as along with 1 person djlin
	Analysis of burstiness and jitter in real-time communications [My Copy] In SIGCOMM '93: Conference proceedings on Communications architectures, protocols and applications (1993), pp. 13-19. by Zheng Wang, Jon Crowcroft posted to learning legacy-application network by bigga on 2007-04-16 11:29:08 as along with 1 person merazzle
	Profiling internet backbone traffic: behavior models and applications [My Copy] In SIGCOMM '05: Proceedings of the 2005 conference on Applications, technologies, architectures, and protocols for computer communications, Vol. 35, No. 4. (October 2005), pp. 169-180. by Kuai Xu, Zhi-Li Zhang, Supratik Bhattacharyya posted to learning legacy-application network by bigga on 2007-04-16 11:21:02 as along with 2 people and 1 group jsterrel ianwelch unc_cs_net
	Signal detection theory: valuable tools for evaluating inductive learning [My Copy] In Proceedings of the sixth international workshop on Machine learning (1989), pp. 160-163. by Kent A. Spackman posted to evaluation learning by bigga on 2007-03-23 09:23:47 as
	Computational complexity of Markov chain Monte Carlo methods for finite Markov random fields [My Copy] Biometrika, Vol. 84, No. 1. (1 March 1997), pp. 1-18. by Arnoldo Frigessi, Fabio Martinelli, Julian Stander posted to complexity learning trustworthiness by bigga on 2007-03-15 14:45:05 as
	Generating Accurate Rule Sets Without Global Optimization [My Copy] In ICML '98: Proceedings of the Fifteenth International Conference on Machine Learning (1998), pp. 144-151. by Eibe Frank, Ian H. Witten posted to prediction learning by bigga on 2007-02-05 14:01:41 as
	Mining Association Rules between Sets of Items in Large Databases [My Copy] In Proceedings of the 1993 ACM SIGMOD International Conference on Management of Data (FebruaryJune--FebruaryAugust~ 1993), pp. 207-216. by Rakesh Agrawal, Tomasz Imielinski, Arun N. Swami edited by Peter Buneman, Sushil Jajodia posted to learning by bigga on 2007-01-31 13:17:52 as along with 14 people abellogin jdu michaelmampaey radical tetsus tvdbulck dolhani abonchen pollaeng amsantos imrchen conley gvdh Yanno
	Fast Algorithms for Mining Association Rules [My Copy] In Proc. 20th Int. Conf. Very Large Data Bases, VLDB (December--JanuaryMay~ 1994), pp. 487-499. by Rakesh Agrawal, Ramakrishnan Srikant edited by Jorge B. Bocca, Matthias Jarke, Carlo Zaniolo posted to learning by bigga on 2007-01-31 13:16:44 as along with 13 people and 1 group dfabbri dmolla andytseng tijl inbasekarmani styliani pool007 Repton suleehs imrchen coutinho clickstone amsantos Pattern-Analysis
	A transparent QoS mechanism to support IntServ/DiffServ networks [My Copy] Consumer Communications and Networking Conference, 2004. CCNC 2004. First IEEE (2004), pp. 233-238. by Chi-Huang Shih, Chung-Chih Liao, Ce-Kuen Shieh, Wen-Shyang Huang posted to qos prediction learning by bigga on 2007-01-30 13:43:24 as
	Transparent QoS Support of Network Applications Using Netlets [My Copy] Lecture Notes in Computer Science, Vol. 2521 (2002), pp. 206-215. by K. Dharmalingam, M. Collier posted to learning qos by bigga on 2007-01-08 05:59:02 as
	Complexity measures and decision tree complexity: A survey [My Copy] Theoretical Computer Science, Vol. 288 (2002), pp. 21-43. by H. Buhrman, R. de Wolf posted to complexity learning by bigga on 2006-06-08 10:50:52 as
	Terminal QOS Management on Run-Time Reconfigurable Platforms [My Copy] In Symposium on Program Acceleration through Application and Architecture driven Code Transformations (2003), pp. 33-36. by Pham, G. Lafruit, G. Deconinck, R. Lauwereins posted to learning networking qos by bigga on 2006-03-01 19:20:22 as
	Incremental learning with partial instance memory [My Copy] Lecture Notes in Artificial Intelligence In Foundations of intelligent systems, Vol. 2366 (2002), pp. 16-27. by M. A. Maloof, R. S. Michalski posted to learning by bigga on 2005-08-10 22:20:03 as
	Exploiting the Absence of Irrelevant Information: What You Don't Know Can Help You [My Copy] In AAAI Fall Symposium on "Relevance" (November 1994) by R. B. Rao, R. Greiner, T. Hancock posted to learning by bigga on 2005-07-13 17:43:53 as along with 1 person beete
	Learning in the Presence of Finitely or Infinitely Many Irrelevant Attributes [My Copy] Journal of Computer and System Sciences, Vol. 50, No. 1. (1995), pp. 32-40. by Avrim Blum, Lisa Hellerstein, Nick Littlestone posted to learning by bigga on 2005-07-13 17:39:46 as
	Learning boolean functions in an infinite attribute space [My Copy] In STOC '90: Proceedings of the twenty-second annual ACM symposium on Theory of computing (1990), pp. 64-72. by A. Blum posted to learning by bigga on 2005-07-13 17:28:10 as
	On changing continuous attributes into ordered discrete attributes [My Copy] In EWSL-91: Proceedings of the European working session on learning on Machine learning (1991), pp. 164-178. by J. Catlett posted to incomplete-data learning by bigga on 2005-07-07 16:22:17 as
	Meta-Learner for Unknown Attribute Values Processing: Dealing with Inconsistency of Meta-Databases [My Copy] J. Intell. Inf. Syst., Vol. 22, No. 1. (January 2004), pp. 71-87. by Ivan Bruha posted to incomplete-data learning by bigga on 2005-07-07 16:11:08 as
	Calculating web page trustworthiness by exploring communities on the web [My Copy] J. Comput. Small Coll., Vol. 19, No. 5. (May 2004), pp. 314-315. by Mirena S. Chausheva posted to learning trustworthiness by bigga on 2005-06-08 18:05:16 as
	Modelling and performance evaluation of mobile multimedia systems using QoS-GSPN [My Copy] Wirel. Netw., Vol. 9, No. 6. (November 2003), pp. 575-584. by Tony Tsang posted to learning qos by bigga on 2005-06-08 16:27:19 as

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qos	67
networking	54
learning	52
network	45
behaviors-detection	24
legacy-application	24
network-selection	20
prediction	17
traffic-modeling	15
handoff	13
search	11
gprs	10
real-time	10
constraints	9
no-access	9
stats	9
wlan	9
decision-making	8
modeling	8
evaluation	7
monitoring-tool	7
quality	7
umts	7
burstiness	6
dicision-making	4
clustering	3
dataset	3
feature-selection	3
regression	3
trustworthiness	3
wavelets	3
wimax	3
anytime	2
complexity	2
entropy	2
incomplete-data	2
information	2
mutual	2
network-simulation	2
specification	2
theory	2
user-qos-selection	2
www	2
agent	1
dictionary	1
features	1
network-side-management	1
programming	1
sdr	1
signal-processing	1
unix	1

bigga's learning [52 articles] Export

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