新規登録 | ログイン | FAQ      [?] 
Recent | Unread | Search | Authors | Tags | Export

bigga learning [51 articles]

最近 bigga さんのライブラリに追加された論文の中から タグ learning. You can also see everyone's learning.
  • Readings in Machine Learning (The Morgan Kaufmann Series in Machine Learning)
    (01 June 1990)
    posted to learning decision-making by bigga on 2008-06-08 23:24:28 as ****
  • Anytime Learning of Decision Trees
    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
    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 5 people soleil_gurl kutabar gkvas dimatura NinaG
  • Classifying under computational resource constraints: anytime classification using probabilistic estimators
    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
    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
    (1998)
    by P Domingos
    posted to learning by bigga on 2008-03-11 20:06:16 as **
  • A Simple Relational Classifier
    (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
    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 ***
  • Bayesian classification theory
    (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
    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
    (1997)
    by J Bilmes
    posted to clustering learning stats by bigga on 2007-12-03 15:10:03 as ** along with 9 people and 4 groups danpopovici oannes pool007 nojhan sugarexpletive vitalaswp3 360varial asterix77 eddymier EvolutionaryComputation Regulomics_UCHSC Metaheuristics Optimization
  • Some Methods of Classification and Analysis of Multivariate Observations
    (1967), pp. 281-297.
    by JB Macqueen
    posted to clustering learning by bigga on 2007-11-28 16:55:40 as ** along with 1 person filippone
  • Byte me: a case for byte accuracy in traffic classification
    (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
    (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
    (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)
    (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
    Mach. Learn., Vol. 6, No. 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 ****
  • A Scalable Algorithm for Rule Post-pruning of Large Decision Trees
    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
    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
    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
    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.
    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
    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
    (1995), pp. 1137-1145.
    by Ron Kohavi
    posted to evaluation learning by bigga on 2007-05-12 20:27:32 as read along with 9 people Repton haiyeong stanley chad_davis Ferran mad sdvillal lschilli fireman
  • Evaluation and selection of biases in machine learning
    (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
    (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 2 people and 1 group jsterrel urvoy unc_cs_net
  • Mining anomalies using traffic feature distributions
    (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
    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
    Selected Areas in Communications, IEEE Journal on, Vol. 24, No. 10. (2006), pp. 1929-1941.
    by J Wang, DJ 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
    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
    (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
    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
    (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
    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
    (1998), pp. 144-151.
    by Eibe Frank, Ian H Witten
    posted to prediction learning by bigga on 2007-02-05 14:01:41 as read
  • Mining Association Rules between Sets of Items in Large Databases
    (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 11 people Yanno radical tetsus tvdbulck dolhani abonchen pollaeng amsantos imrchen conley gvdh
  • Fast Algorithms for Mining Association Rules
    (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 burtonwu amsantos dmolla andytseng tijl inbasekarmani styliani pool007 Repton suleehs imrchen coutinho clickstone Pattern-Analysis
  • A transparent QoS mechanism to support IntServ/DiffServ networks
    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 read
  • Transparent QoS Support of Network Applications Using Netlets
    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 read
  • Complexity measures and decision tree complexity: A survey
    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
    (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
    Lecture Notes in Artificial Intelligence, Vol. 2366 (2002), pp. 16-27.
    by MA Maloof, RS 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
    (November 1994)
    by RB Rao, R Greiner, T Hancock
    posted to learning by bigga on 2005-07-13 17:43:53 as **
  • Learning in the Presence of Finitely or Infinitely Many Irrelevant Attributes
    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
    (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
    (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
    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
    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
    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 **
  • The Elements of Statistical Learning
    (09 August 2001)
    by T Hastie, R Tibshirani, JH Friedman
    posted to learning stats by bigga on 2005-06-08 15:30:36 as ** along with 39 people and 10 groups jaonary quianominorleo Repton blueskies amirsaffari ansobol pdlug yaroslavvb jelsas davidr gyuli garyfeng aufrank neteler leidner chad_davis jekky balajis Jaykul balicea sdvillal donade bigbossman sbarthelme bedo AbnerCYH nojhan bamberg kgajos raiyar deysandeep petrposik dbgrant nmdang alfirk brianmc jung_dalglish dquercia robotact CMU-HCII Blog_and_Wiki_Research automatic_summarization ReadingLab ur-cls ASR EvolutionaryComputation Metaheuristics Optimization CSBBGraphTheory
    • 注: このページを引用する時は次のURLでどうぞ: http://www.citeulike.org/user/bigga/tag/learning

    Result page: 1 2 Next RIS BibTeX RSS
    CiteULike organises scholarly (or academic) papers or literature and provides bibliographic (which means it makes bibliographies) for universities and higher education establishments. It helps undergraduates and postgraduates. People studying for PhDs or in postdoctoral (postdoc) positions. The service is similar in scope to EndNote or RefWorks or any other reference manager like BibTeX, but it is a social bookmarking service for scientists and humanities researchers.