abellogin's clustering [25 articles] Export

Recent papers added to abellogin's library classified by the tag clustering. You can also see everyone's clustering.

	Automatic labeling of multinomial topic models [My Copy] In KDD '07: Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining (2007), pp. 490-499. by Qiaozhu Mei, Xuehua Shen, ChengXiang Zhai posted to supervised-projection probabilistic-model plsa ontology nlp ngram lda language-models internship-09 entropy context clustering by abellogin on 2009-09-07 09:35:49 as along with 8 people and 1 group kabus hanbei maximzhao briordan giacomo_inches AlisonBabeu markymaypo adamsi ARTFL
	Probabilistic Linear Discriminant Analysis [My Copy] Computer Vision – ECCV 2006 In Computer Vision – ECCV 2006 (2006), pp. 531-542. by Sergey Ioffe posted to probability-model pca lda dimension-reduction definition clustering by abellogin on 2009-08-20 11:35:15 as
	Latent dirichlet allocation [My Copy] J. Mach. Learn. Res., Vol. 3 (2003), pp. 993-1022. by David M. Blei, Andrew Y. Ng, Michael I. Jordan posted to plsa vector-space-model text-classification smoothing lsi lda ir dimension-reduction collaborative-filtering clustering by abellogin on 2009-08-19 23:14:47 as along with 15 people and 1 group lmjohns3 eddymier psj ChenxingYang WanderingAengus bsilverthorn weiweiguo galyardt briordan ldietz Phanix leinine whym lillejul adamsi L3S
	A View Of The Em Algorithm That Justifies Incremental, Sparse, And Other Variants [My Copy] In Learning in Graphical Models (1998), pp. 355-368. by Radford Neal, Geoffrey E. Hinton posted to survey sparsity machine-learning em-algorithm definition clustering by abellogin on 2009-08-18 14:04:16 as along with 2 people and 1 group zzb3886 jborn Bernstein Frankfurt
	Web Page Rank Prediction with PCA and EM Clustering [My Copy] Algorithms and Models for the Web-Graph (2009), pp. 104-115. by Polyxeni Zacharouli, Michalis Titsias, Michalis Vazirgiannis posted to ranking pca clustering by abellogin on 2009-08-14 17:34:31 as
	What is principal component analysis? [My Copy] Nature Biotechnology, Vol. 26, No. 3. (01 March 2008), pp. 303-304. by Markus Ringnér posted to svd pca journal dimension-reduction definition clustering classifier by abellogin on 2009-08-12 19:45:19 as along with 70 people and 3 groups krapnik singhsh Jporci tnhh ruvido ucbcjbm daforerog Diego_Prada nguizard thegoose2 arsyed Zephyrus flips svozil VGreiff kaniko ssgong Yanno guhjy operon barry baaic dullhunk Bevan_Weir zeji gareth massivemayhem zwang GustavoLacerda GeeSharpMinor bmaust zambujo mingzhi starz1010101 maralena wchannels sunhwan jennifermbui kdelavega zhouyu rsantana sobolevnrm fryanpan kengg rvosa dekay23 adacier hpaces waghsk rchauhan pavanghatty kristgy jfr bibay2004 xingxu quianominorleo craigwilson06 ashko markusd dayjm dimka i-stevenson chrissp100 tharris ale mjoach HugoMarcelo jdiezperezj rrbarb Nici baker-group FAB-lab Bioinformatics
	Learning and Solving Many-Player Games through a Cluster-Based Representation [My Copy] In UAI (2008), pp. 187-195. by Sevan G. Ficici, David C. Parkes, Avi Pfeffer edited by David A. Mcallester, Petri Myllymäki, David A. Mcallester, Petri Myllymäki posted to clustering by abellogin on 2009-08-12 17:12:37 as
	Collaborative Filtering: A Machine Learning Perspective [My Copy] (2004) by Benjamin Marlin posted to neighborhood thesis svd probability-model plsa pca naive-bayes machine-learning evaluation dimension-reduction collaborative-filtering clustering by abellogin on 2009-08-11 12:40:45 as
	Clustering high-dimensional data: A survey on subspace clustering, pattern-based clustering, and correlation clustering [My Copy] ACM Trans. Knowl. Discov. Data, Vol. 3, No. 1. (2009), pp. 1-58. by Hans P. Kriegel, Peer Kröger, Arthur Zimek posted to clustering internship-09 journal supervised-projection survey by abellogin on 2009-08-10 13:01:02 as
	An Effective Recommendation Algorithm for Clustering-Based Recommender Systems [My Copy] In Australian Conference on Artificial Intelligence, Vol. 3809 (2005), pp. 1150-1153. by Taek H. Kim, Sung B. Yang edited by Shichao Zhang, Ray Jarvis, Shichao Zhang, Ray Jarvis posted to clustering recommender by abellogin on 2009-07-08 10:45:21 as
	Evaluation of Text Clustering Algorithms with N-Gram-Based Document Fingerprints [My Copy] In ECIR, Vol. 5478 (2009), pp. 645-653. by Javier Parapar, Alvaro Barreiro edited by Mohand Boughanem, Catherine Berrut, Josiane Mothe, et al.Chantal S. Dupuy, Mohand Boughanem, Catherine Berrut, Josiane Mothe, Chantal S. Dupuy posted to clustering ecir entropy fingerprint ngram rim3 text-classification tfidf by abellogin on 2009-06-24 13:05:23 as
	Personalization in Folksonomies Based on Tag Clustering [My Copy] In Proceedings of the 6th Workshop on Intelligent Techniques for Web Personalization and Recommender Systems (July 2008) by J. Gemmell, A. Shepitsen, M. Mobasher, R. Burke posted to clustering folksonomy personalisation by abellogin on 2009-06-12 11:11:24 as along with 2 people and 2 groups dvallet icantador NETS-UAM NETS
	MapReduce: Simplified Data Processing on Large Clusters [My Copy] OSDI '04, pp. 137-150. by Jeffrey Dean, Sanjay Ghemawat posted to clustering distributed google machine-learning map-reduce by abellogin on 2009-02-18 14:23:39 as along with 54 people and 6 groups wangxinxi beete Julien_Fayolle MatzeB hamurster joshdsullivan erain pprett electrum msalloum dmeister bsilverthorn maropu pkt seth_hg cymacs mfisk Nicolas_Torzec jorritschippers Jingbo mogwaing matteodellamico tatemura rmbrad gimmedonutnow kamotaku78 qiuyl egh pdlug muli jrw aufrank Kevembuangga sids epaulson fheintz roi mthomure spl gane5h fghorow mzygmunt neilc fmc ronnix coutinho votis angus aali adamsi sby mpotamias gionis myui large-scale-ml iDataOLD ur-cls Impending_AI_breakthrough oktave-labs Speed
	A multilayer ontology-based hybrid recommendation model [My Copy] AI Commun., Vol. 21, No. 2-3. (2008), pp. 203-210. by Iván Cantador, Alejandro Bellogín, Pablo Castells posted to clustering hybrid-recommender news ontology recommender uam by abellogin on 2008-12-29 10:37:41 as
	Latent semantic models for collaborative filtering [My Copy] ACM Trans. Inf. Syst., Vol. 22, No. 1. (January 2004), pp. 89-115. by Thomas Hofmann posted to svd probability-model plsa lsi journal ir internship-09 em-algorithm dimension-reduction collaborative-filtering clustering by abellogin on 2008-11-05 14:11:21 as along with 20 people and 5 groups akshayk clickstone briordan zhaomin jamborta mdreid eastkim accessrajesh sergiolopez pprett ldietz horeis sids anon_pl macle ocelma ransombriggs imrchen zhangl adamsi Statistical Machine Learning Adaptive-Web CompIntelligentSystems MTG oktave-labs
	Eigentaste: A Constant Time Collaborative Filtering Algorithm [My Copy] Inf. Retr., Vol. 4, No. 2. (2001), pp. 133-151. by Ken Goldberg, Theresa Roeder, Dhruv Gupta, Chris Perkins posted to clustering collaborative-filtering dimension-reduction machine-learning pca recommender by abellogin on 2008-10-16 15:43:05 as along with 1 person zhaomin
	Scalable collaborative filtering using cluster-based smoothing [My Copy] In SIGIR '05: Proceedings of the 28th annual international ACM SIGIR conference on Research and development in information retrieval (2005), pp. 114-121. by Gui R. Xue, Chenxi Lin, Qiang Yang, et al.WenSi Xi, Hua J. Zeng, Yong Yu, Zheng Chen posted to clustering collaborative-filtering evaluation sigir smoothing by abellogin on 2008-10-10 16:46:22 as along with 8 people and 2 groups votis horeis macle lcoquelle javo_eupla butlermh ransombriggs AlisonBabeu Adaptive-Web CompIntelligentSystems
	Collaborative filtering with maximum entropy [My Copy] Intelligent Systems, IEEE In Intelligent Systems, IEEE, Vol. 19, No. 6. (2004), pp. 40-47. by D. Pavlov, E. Manavoglu, C. L. Giles, D. M. Pennock posted to aggregation clustering collaborative-filtering document-classification entropy maximum-entropy probabilistic-model recommender by abellogin on 2008-09-25 09:47:30 as along with 3 people kabus nliu82 imrchen
	Unsupervised Learning by Probabilistic Latent Semantic Analysis [My Copy] Machine Learning, Vol. V42, No. 1. (1 January 2001), pp. 177-196. by Thomas Hofmann posted to clustering dimension-reduction internship-09 ir journal lsi machine-learning plsa probability-model svd by abellogin on 2008-08-26 22:02:44 as along with 2 people and 1 group yinghua77 ericlindahl DecisionSupportTheory
	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
	Toward the next generation of recommender systems: a survey of the state-of-the-art and possible extensions [My Copy] IEEE Trans. on Knowl. and Data Eng. In Knowledge and Data Engineering, IEEE Transactions on, Vol. 17, No. 6. (25 April 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 27 people and 6 groups gregdavisfromnj diogomartins 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
	The use of hierarchic clustering in information retrieval [My Copy] Information Storage and Retrieval, Vol. 7, No. 5. (December 1971), pp. 217-240. by N. Jardine, C. J. van Rijsbergen posted to clustering ir by abellogin on 2008-06-13 20:10:30 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
	Clustering by compression [My Copy] IEEE Transactions on Information Theory, Vol. 51, No. 4. (2005), pp. 1523-1545. by R. Cilibrasi, P. Vitanyi posted to clustering compression ncd by abellogin on 2008-04-07 15:10:17 as
	Indexing by Latent Semantic Analysis [My Copy] Journal of the American Society of Information Science, Vol. 41, No. 6. (1990), pp. 391-407. by Scott C. Deerwester, Susan T. Dumais, Thomas K. Landauer, George W. Furnas, Richard A. Harshman posted to svd lsi journal ir dimension-reduction definition clustering by abellogin on 2008-04-07 15:06:30 as along with 32 people and 5 groups vegchang yeminjiao dmnapolitano almadana pcchang85 tv jliegl avulanov pprett camster irenas aliku mafwood mortimer derek_farn maripsa pdlug jelsas xxc baaic ldietz unnonouno k12u mthomure Phanix perceptron RafG ehohman rspeer navil hernandezl adamsi UoY-CS-AIG dbk-lab Blog_and_Wiki_Research Wikipedia AI

Note: You may cite this page as: http://www.citeulike.org/user/abellogin/tag/clustering

ir	264
hci	175
interact07	163
recommender	149
collaborative-filtering	124
aggregation	94
language-models	89
uncertainty	78
ontology	73
personalisation	72
evaluation	66
sigir	66
user-model	59
rank-aggregation	58
machine-learning	57
probabilistic-model	53
survey	49
book	49
probability	48
context	47
decision-making	46
query-difficulty	45
tag	44
query-expansion	42
internship-09	41
analysis	40
journal	40
definition	38
relevance-feedback	38
entropy	38
folksonomy	36
ranking	34
uam	32
lsi	31
dimension-reduction	29
ambiguity	29
classifier	28
fuzzy	27
content-based	27
sparsity	27
hybrid-recommender	26
trec	26
relevance	26
clustering	25
ecir	25
pca	25
smoothing	24
explanation	23
preference	23
query-performance	21
clarity	21
cikm	21
svd	19
utility-theory	19
usability	19
dempster-shafer	18
lasso	18
rules	17
thesis	17
genetic-algorithm	17
distribution-estimation	17
vector-space-model	16
bayesian-network-models	16
psychology	16
adversarial	16
supervised-projection	15
not-found	15
probability-model	15
plsa	14
graph	14
implicit-feedback	14
evidence	13
ictir	13
user-centered	13
information-theory	12
non-parametric	12
adaptive-system	12
group	12
decision-tree	12
news	12
logic	11
poster	11
score-normalization	11
nlp	11
pagerank	11
clickthrough-history	11
www	11
blind-feedback	10
sqaru	10
svm	10
trust	10
risk	9
kernel-estimator	9
clarity-score	9
maximum-entropy	8
text-classification	8
em-algorithm	8
slides	8
wordnet	8
neighborhood	8
hidden-markov-model	8
context-detection	8
multicriteria	7
petri-nets	7
confidence	7
code	7
markov-chain	6
query-drift	6
spreading-activation	6
term-weighting	6
ndcg	6
risk-minimization	6
naive-bayes	5
convex-optimization	5
timetable-problem	5
e-learning	5
hits	5
lda	5
grammar	5
link-analysis	4
statistical-translation	4
expert	4
query-ambiguity	4
lemur	4
um	4
context-expansion	4
features	4
novelty	4
similarity	4
cluster-language-model	3
query-reweighting	3
probabilistic-indexing	3
constraint-satisfaction	3
vagueness	3
abductive-reasoning	3
jensen-shannon-divergence	3
distributed	3
letor	3
neural-networks	3
time-series	3
ngram	3
cold-start-problem	3
document-classification	3
lattice	3
cross-language	3
grammatical-evolution	3
url	3
google	3
tfidf	3
dfr	3
evidential-reasoning	3
matrix-approximation	3
weighting	2
logistic-regression	2
compression	2
decidability	2
learning-classification	2
terrier	2
video	2
topic-language-model	2
security	2
wikipedia	2
biometrics	2
keyword-based-filtering	2
dynamic-rank-fusion	2
parts-of-speech	2
lsa	2
condorcet	2
random-walk	2
attribute-grammar	2
string-matching	2
noise	2
portfolio-theory	2
demspter-shafer	2
feature-selection	2
ties	2
rup	2
economy	2
image-retrieval	2
rim3	2
ncd	2
robustness-score	2
software-engineering	2
preference-expansion	2
authoring	1
serendipity	1
netflix	1
spam	1
speech-recognition	1
query-history	1
dsl	1
dependence-graph	1
privacy	1
corrupted-data	1
non-coordination-level-ranking-problem	1
preprocessing	1
text-searching	1
weka	1
lucene	1
diversity	1
fingerprint	1
canonical-correlation-analysis	1
coordination-level-ranking	1
project	1
model-driven	1
personalization	1
tv	1
dialogue-based	1
physics	1
map-reduce	1
for:dvallet	1
bigram	1
reputation	1
christiansen-grammar	1
outlier	1
levenshtein-measure	1
federation	1
maven	1
argumentation	1
deep-web	1
cbir	1
agrep	1
stability	1
katz-smoothing	1
blog	1
demographic-based	1
iterative	1
length-normalization	1
sigmoid	1
taste	1
memetic-algorithm	1
olap	1
mds	1
double-sigmoid	1
bootstrapping	1
jaccard-index	1
matrix-perturbation-theory	1
crawling	1
peer-to-peer	1
intranet	1

abellogin's clustering [25 articles] Export

abellogin's tags