Tag decision-tree [29 articles] Export

Recent papers classified by the tag decision-tree.

	An empirical comparison of supervised learning algorithms [My Copy] In ICML '06: Proceedings of the 23rd international conference on Machine learning (2006), pp. 161-168. by Rich Caruana, Alexandru N. Mizil posted to svm supervised-learning regression random-forst neural-network naive-bayes decision-tree comparison boosted-tree bagged-tree 2006 by ddahlem on 2009-09-27 15:43:30 as along with 2 people jdu carlk
	C4.5: Programs for Machine Learning (Morgan Kaufmann Series in Machine Learning) [My Copy] (15 January 1993) by J. Ross Quinlan posted to decision-tree by imrchen on 2009-04-06 09:31:23 as along with 11 people and 1 group hr0nix tienholin anib pinventado xuzhe83 akastrin misovalko fmatthes sammydre vikx01 puthy WAND
	Simplifying decision trees: A survey [My Copy] Knowl. Eng. Rev., Vol. 12, No. 1. (1997), pp. 1-40. by Leonard A. Breslow, David W. Aha posted to decision-tree intelligibillity pruning by mmunson on 2009-03-05 03:12:44 as
	Hierarchical priors for Bayesian CART shrinkage [My Copy] Statistics and Computing, Vol. 10, No. 1. (1 January 2000), pp. 17-24. by Hugh Chipman, Robert E. Mcculloch posted to bayesian decision-tree by mmunson on 2009-02-26 14:58:08 as
	Content-Based Recommendation Systems [My Copy] The Adaptive Web (2007), pp. 325-341. by Michael Pazzani, Daniel Billsus posted to blind-feedback book classifier content-based decision-tree machine-learning probabilistic-model recommender relevance-feedback survey text-classification uncertainty vector-space-model by abellogin on 2009-01-15 08:44:09 as along with 13 people and 2 groups solo1nombre amonika lzhlynn sidmitra brusilovsky JamesChien denisparra codex ianturton dvallet Madison80 ocean1029 cpcreed Adaptive-Web NETS-UAM
	Generalization and decision tree induction: efficient classification in data mining [My Copy] In RIDE '97: Proceedings of the 7th International Workshop on Research Issues in Data Engineering (RIDE '97) High Performance Database Management for Large-Scale Applications (1997) by M. Kamber, L. Winstone, Wan Gong, Shan Cheng, Jiawei Han posted to classification decision-tree by imrchen on 2008-12-25 14:03:28 as
	A survey of decision tree classifier methodology [My Copy] Systems, Man and Cybernetics, IEEE Transactions on In Systems, Man and Cybernetics, IEEE Transactions on, Vol. 21, No. 3. (1991), pp. 660-674. by S. R. Safavian, D. Landgrebe posted to classification decision-tree by imrchen on 2008-12-25 12:10:20 as along with 1 person and 1 group ajylha contact-id
	C4.5: programs for machine learning [My Copy] (1993) by J. Ross Quinlan posted to classification decision-tree by imrchen to the group TKU_CS DB Lab on 2008-12-25 11:46:33 as along with 9 people and 1 group jbrusey katja ccumby foxmatch Repton ajylha jdu ianwelch yaroslavvb contact-id
	Simplifying decision trees [My Copy] Int. J. Man-Mach. Stud., Vol. 27, No. 3. (1987), pp. 221-234. by J. R. Quinlan posted to classification decision-tree by imrchen on 2008-12-25 11:39:38 as
	Induction of decision trees [My Copy] Machine Learning, Vol. 1, No. 1. (1 March 1986), pp. 81-106. by J. R. Quinlan posted to classification decision-tree by imrchen to the group TKU_CS DB Lab on 2008-12-25 11:33:57 as along with 7 people and 1 group anib brothers tvdbulck axin conradlee ajylha fryanpan contact-id
	An Innovative GA-Based Decision Tree Classifier in Large Scale Data Mining [My Copy] Principles of Data Mining and Knowledge Discovery (1999), pp. 348-353. by Zhiwei Fu posted to classification decision-tree by imrchen on 2008-12-25 02:49:13 as along with 1 person lop
	Bloomy Decision Tree for Multi-objective Classification [My Copy] Principles of Data Mining and Knowledge Discovery (2001), pp. 436-447. by Einoshin Suzuki, Masafumi Gotoh, Yuta Choki posted to decision-tree multilabel by tsoumakas to the group mlkd on 2008-12-15 22:53:42 as
	What are decision trees? [My Copy] Nature biotechnology, Vol. 26, No. 9. (September 2008), pp. 1011-1013. by Carl Kingsford, Steven L. Salzberg posted to decision-tree machine-learning by markusd on 2008-09-15 15:37:39 as along with 19 people and 2 groups guhjy megraw jwhitney daforerog svozil Yanno A_Olympia jfr yzlab ptrobajo chrisamiller druvus Zephyrus brianb dullhunk sjcockell zwang GeeSharpMinor neils logics of knowledge Roswell Cancer Crosstalk
	An anytime algorithm for decision making under uncertainty [My Copy] In In Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence (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
	To personalize or not to personalize: modeling queries with variation in user intent [My Copy] In SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval (2008), pp. 163-170. by Jaime Teevan, Susan T. Dumais, Daniel J. Liebling posted to ambiguity clarity clarity-score clickthrough-history clustering decision-tree entropy machine-learning personalisation sigir user-centered by abellogin on 2008-07-29 12:10:32 as along with 11 people and 3 groups diogomartins katherinerozo dvallet bemike gyllstromk donade agulli katja ejmeij pprett ctl NETS-UAM NETS ilps
	Empirical Analysis of Predictive Algorithms for Collaborative Filtering [My Copy] In Proceedings of the Fourteenth Conference on Uncertainty in Artificial Intelligence (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 along with 25 people and 2 groups zhaomin nliu82 jb44 ryangannon 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
	Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions [My Copy] Knowledge and Data Engineering, IEEE Transactions on In Knowledge and Data Engineering, IEEE Transactions on, Vol. 17, No. 6. (June 2005), pp. 734-749. by G. Adomavicius, A. 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 along with 25 people and 6 groups vellino clickstone briordan dominikusbaur apocapoc tdrycker sindaino exp_chris packz mboehmer alicenan luisluque agaelebe palakorn donade hansjoergmueller krisjack ocelma lcoquelle dvallet gionis evelyn mocat imrchen paulovn Resys Agent Mining Drexel-HCI Drexel-eVoting NETS-UAM MTG
	Breeding Decision Trees Using Evolutionary Techniques [My Copy] In ICML '01: Proceedings of the Eighteenth International Conference on Machine Learning (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
	Data Mining: Practical Machine Learning Tools and Techniques [My Copy] (22 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 along with 48 people and 6 groups jo-hannes anib singhsh installe tomjad malibu pinventado alexjfalcao fiacobelli liamtoh333 tijszwinkels ihaque sugarexpletive karinaecomp gstiglic haiyeong imrchen baaic RafaUsyd tmancill druvus dullhunk 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 mlkd WAND AI biomedical-nlp RiSE CSBBGraphTheory
	Learning with Continuous Classes [My Copy] In 5th Australian Joint Conference on Artificial Intelligence (1992), pp. 343-348. by J. R. Quinlan posted to 1992 decision-tree learning by davidmihalcik on 2008-02-26 14:17:54 as along with 1 person rogerblake
	Pattern Classification (2nd Edition) [My Copy] (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 along with 53 people and 11 groups pool007 fjanoos emailhy jrodriguez gavin1332 montse_gg kroatiker alexjfalcao purplecrown seninp liamtoh333 lvcargnini ben500 h-chi chiufanlee RafaUsyd aanthon2 eddymier pprett 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 yaroslavvb tgyork middell LDA and dimension reduction techniques CMU-HCII Blog_and_Wiki_Research automatic_summarization video_retrieval ASR AI ComplexAdaptiveSystems RiSE DSTO-CAS Medical Image Analysis and Visualization @ OSU
	Evaluating Relevance Feedback Algorithms for Searching on Small Displays [My Copy] 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 along with 1 person diogomartins
	Web document classification using modified decision trees [My Copy] In ACM-SE 38: Proceedings of the 38th annual on Southeast regional conference (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
	Learning decision trees using the area under the ROC curve [My Copy] (2002) by C. Ferri, P. Flach, J. Hernandezorallo posted to decision-tree by bcroy on 2007-08-13 06:53:09 as along with 1 group MAML
	Tree Induction for Probability-Based Ranking [My Copy] Mach. Learn., Vol. 52, No. 3. (September 2003), pp. 199-215. by Foster Provost, Pedro Domingos posted to decision-tree by bcroy on 2007-08-13 06:27:29 as along with 1 person and 1 group jdu MAML
	An Experimental Comparison of Three Methods for Constructing Ensembles of Decision Trees: Bagging, Boosting, and Randomization [My Copy] Machine Learning, Vol. 40, No. 2. (2000), pp. 139-157. by Thomas G. Dietterich posted to boosting decision-tree by bcroy on 2007-07-29 21:43:47 as along with 2 people and 1 group jjrodriguez thangvu MAML
	Learning Decision Trees from Dynamic Data Streams [My Copy] 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 [My Copy] Data Mining, 2004. ICDM 2004. Proceedings. Fourth IEEE International Conference on In Proceedings of the Fourth IEEE International Conference on Data Mining (2004), pp. 379-382. by Wei Fan, Yi-An Huang, P. S. Yu posted to decision-tree rule-induction by Repton on 2007-02-15 02:44:53 as
	Lazy Bayesian rules: a lazy semi-naive Bayesian learning technique competitive to boosting decision trees [My Copy] In Proc. 16th International Conf. on Machine Learning (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

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classification	8
machine-learning	8
book	3
clustering	3
naive-bayes	3
probabilistic-model	3
recommender	3
2008	2
analysis	2
bayesian	2
bayesian-network-models	2
boosting	2
classifier	2
collaborative-filtering	2
genetic-algorithm	2
personalisation	2
relevance-feedback	2
survey	2
uncertainty	2
vector-space-model	2
1992	1
2006	1
algorithms	1
ambiguity	1
bagged-tree	1
bioinformatics	1
blind-feedback	1
boosted-tree	1
clarity	1
clarity-score	1
clickthrough-history	1
comparison	1
compilers	1
content-based	1
data-mining	1
decision-making	1
distribution-estimation	1
document-classification	1
dynamic	1
entropy	1
evaluation	1
evolution	1
evolutionary-algorithm	1
grammar	1
hci	1
hidden-markov-model	1
hybrid-recommender	1
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ir	1
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parallel-computing	1
prediction	1
probability	1
protocol	1
pruning	1
query-expansion	1
random-forst	1
regression	1
review	1
rule-induction	1
service	1
sigir	1
smoothing	1
streams	1
string-matching	1
supervised-learning	1
svm	1
text-classification	1
user-centered	1
weka	1

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