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Tag decision-tree [19 articles]

Recent papers classified by the tag decision-tree.
  • C4.5: Programs for Machine Learning (Morgan Kaufmann Series in Machine Learning)
    (15 January 1993)
    by Ross J Quinlan
    posted to decision-tree by vikx01 on 2006-12-20 02:17:48 as ** along with 4 people and 1 group misovalko fmatthes sammydre puthy WAND
  • Learning Decision Trees from Dynamic Data Streams
    by João Gama, Pedro Medas, Pedro Rodrigues
    posted to decision-tree streams by scis0000001 on 2007-04-07 15:20:22 as **
  • Decision tree evolution using limited number of labeled data items from drifting data streams
    Data Mining, 2004. ICDM 2004. Proceedings. Fourth IEEE International Conference on (2004), pp. 379-382.
    by Wei Fan, Yi-An Huang, PS Yu
    posted to decision-tree rule-induction by Repton on 2007-02-15 02:44:53 as **
  • What are decision trees?
    Nature Biotechnology, Vol. 26, No. 9., pp. 1011-1013.
    by Carl Kingsford, Steven L Salzberg
    posted to review probability prediction decision-tree bioinformatics by neils on 2008-09-09 02:49:39 as ** along with 9 people and 1 group chrisamiller markusd druvus Zephyrus brianb dullhunk sjcockell zwang GeeSharpMinor Roswell Cancer Crosstalk
  • Breeding Decision Trees Using Evolutionary Techniques
    (2001), pp. 393-400.
    by Athanassios Papagelis, Dimitrios Kalles
    posted to 2008 decision-tree evolutionary-algorithm by lop on 2008-05-26 10:31:25 as **
  • An Innovative GA-Based Decision Tree Classifier in Large Scale Data Mining
    Principles of Data Mining and Knowledge Discovery (1999), pp. 348-353.
    by Zhiwei Fu
    posted to 2008 data-mining decision-tree genetic-algorithm by lop on 2008-05-26 10:00:22 as **
  • Lazy Bayesian rules: a lazy semi-naive Bayesian learning technique competitive to boosting decision trees
    (1999), pp. 493-502.
    by Zijian Zheng, Geoffrey I Webb, Kai M Ting
    posted to bayesian decision-tree by JoSeK on 2005-10-16 21:37:01 as ** along with 1 person eweaver
  • Learning decision trees using the area under the ROC curve
    (2002)
    by C Ferri, P Flach, J Hernandezorallo
    posted to decision-tree by bcroy to the group MAML on 2007-08-13 06:53:09 as **
  • Tree Induction for Probability-Based Ranking
    Mach. Learn., Vol. 52, No. 3. (September 2003), pp. 199-215.
    by Foster Provost, Pedro Domingos
    posted to decision-tree by bcroy to the group MAML on 2007-08-13 06:27:29 as ** along with 1 person jdu
  • An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization
    Machine Learning, Vol. 40, No. 2. (2000), pp. 139-157.
    by Thomas G Dietterich
    posted to decision-tree boosting by bcroy to the group MAML on 2007-07-29 21:43:47 as ***** along with 2 people jjrodriguez thangvu
  • Learning with Continuous Classes
    (1992), pp. 343-348.
    by JR Quinlan
    posted to 1992 decision-tree learning by davidmihalcik on 2008-02-26 14:17:54 as ** along with 1 person rogerblake
  • notes An anytime algorithm for decision making under uncertainty
    (1998), pp. 246-255.
    by Michael C Horsch, David Poole
    posted to classifier decision-making decision-tree uncertainty by abellogin on 2008-08-25 09:09:37 as read
  • Data Mining: Practical Machine Learning Tools and Techniques
    (08 June 2005)
    by Ian H Witten, Eibe Frank
    posted to bayesian-network-models book clustering decision-tree genetic-algorithm machine-learning naive-bayes weka by abellogin on 2008-05-05 20:10:53 as read along with 26 people and 5 groups GJNauta sb-3000 sammydre balicea sdvillal caporaso AbnerCYH brunomelo dejang mdifranc BastianSpanneberg velasco azazello ezralanglois pprett gmonce fernandohbc scorreia_pro csacca jdu bobychan napvasconcelos soramame_0518 quianominorleo eegilbert akastrin WAND AI biomedical-nlp RiSE CSBBGraphTheory
  • notes To personalize or not to personalize: modeling queries with variation in user intent
    (2008), pp. 163-170.
    by Jaime Teevan, Susan T Dumais, Daniel J Liebling
    posted to user-centered sigir personalisation machine-learning entropy decision-tree clustering clickthrough-history clarity-score clarity ambiguity by abellogin on 2008-07-29 12:10:32 as read along with 5 people and 1 group agulli katja ejmeij pprett ctl ilps
  • Pattern Classification (2nd Edition)
    (21 November 2000)
    by Richard O Duda, Peter E Hart, David G Stork
    posted to analysis book decision-tree grammar hidden-markov-model kernel-estimator machine-learning naive-bayes non-parametric smoothing string-matching distribution-estimation by abellogin on 2008-01-12 15:00:56 as read along with 35 people and 10 groups misovalko thefillm pdlug JoSeK thsant mhaller gyuli carueda xtizon leidner 1puumu jekky balajis buescher76 balicea sdvillal pbellec ctacmo jclau bigbossman brunomelo ddos mattjb zeppe dimatura theus singhsh haiyeong napvasconcelos ecome matjes sidr yaroslavvb tgyork middell CMU-HCII Blog_and_Wiki_Research automatic_summarization video_retrieval ASR AI ComplexAdaptiveSystems RiSE DSTO-CAS Medical Image Analysis and Visualization @ OSU
  • Web document classification using modified decision trees
    (2000), pp. 262-263.
    by Wen-Chen Hu, Kai-Hsiung Chang, Gerhard X Ritter
    posted to decision-tree document-classification by abellogin on 2007-12-16 13:20:36 as *****
  • notes Empirical Analysis of Predictive Algorithms for Collaborative Filtering
    (July 1998), pp. 43-52.
    by John S Breese, David Heckerman, Carl Kadie
    posted to analysis bayesian-network-models collaborative-filtering decision-tree evaluation probabilistic-model recommender vector-space-model by abellogin on 2008-07-17 11:27:21 as read along with 21 people and 2 groups mathijs Jaykul chadhogg mkuro gane5h anon_pl jacksheep macle naufraghi sugarexpletive ransombriggs sflinter rlai mauricem koles brontolo imrchen JennyClar mocat tdrycker adamsi tomas_and_mathijs MITCCI
  • notes Evaluating Relevance Feedback Algorithms for Searching on Small Displays
    Advances in Information Retrieval (2005), pp. 185-199.
    by Vishwa Vinay, Ingemar J Cox, Natasa Milic-Frayling, Ken Wood
    posted to decision-tree ir query-expansion relevance-feedback hci by abellogin on 2007-12-27 09:45:38 as read along with 1 person diogomartins
  • Toward the Next Generation of Recommender Systems: A Survey of the State-of-the-Art and Possible Extensions
    IEEE Transactions on Knowledge and Data Engineering, Vol. 17, No. 6. (June 2005), pp. 734-749.
    by Gediminas Adomavicius, Alexander Tuzhilin
    posted to clustering decision-tree hybrid-recommender machine-learning neural-networks personalisation probabilistic-model recommender survey collaborative-filtering by abellogin on 2008-06-24 11:49:14 as read along with 13 people and 4 groups agaelebe palakorn donade hansjoergmueller krisjack ocelma lcoquelle dvallet gionis evelyn mocat imrchen paulovn Drexel-HCI Drexel-eVoting NETS-UAM MTG
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