abellogin's machine-learning [57 articles] Export

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

Hide details

	The Elements of Statistical Learning [My Copy] (30 July 2003) by T. Hastie, R. Tibshirani, J. H. Friedman posted to machine-learning lasso dimension-reduction book by abellogin on 2009-10-17 01:44:36 as along with 62 people and 11 groups zhengyun ulmer fjanoos azhdari emailhy donnachie singhsh mahmoodr lop idlebrain makrehchi awarlau gabriprat gokopal alexeigor liamtoh333 amsantos minrmw brian eddymier roys akastrin robotact thefillm ansobol pdlug yaroslavvb bigga 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 blueskies Repton quianominorleo jaonary LDA and dimension reduction techniques CMU-HCII Blog_and_Wiki_Research automatic_summarization ReadingLab ur-cls ASR EvolutionaryComputation Metaheuristics Optimization CSBBGraphTheory
	Discovering Relevant Preferences in a Personalised Recommender System using Machine Learning Techniques [My Copy] In Preference Learning Workshop (PL 2008), at the 8th European Conference on Machine Learning and Principles and Practice of Knowledge Discovery in Databases (ECML PKDD 2008) (September 2008), pp. 82-96. by A. Bellogín, I. Cantador, P. Castells, A. Ortigosa posted to uam recommender preference personalisation machine-learning decision-tree by abellogin on 2009-10-12 11:16:23 as
	Discerning Relevant Model Features in a Content-based Collaborative Recommender System. [My Copy] In Preference Learning (2009) by A. Bellogín, I. Cantador, P. Castells, Ortigosa edited by J. Fürnkranz, E. Hüllermeier posted to uam recommender preference machine-learning decision-tree content-based by abellogin on 2009-10-12 11:02:14 as along with 1 person solo1nombre
	Content-based book recommending using learning for text categorization [My Copy] In DL '00: Proceedings of the fifth ACM conference on Digital libraries (2000), pp. 195-204. by Raymond J. Mooney, Loriene Roy posted to recommender machine-learning explanation content-based collaborative-filtering by abellogin on 2009-10-05 17:05:54 as along with 4 people and 1 group sangari asli2021 imrchen cpcreed Adaptive-Web
	Singular value decomposition and least squares solutions [My Copy] Numerische Mathematik, Vol. 14, No. 5. (29 April 1970), pp. 403-420. by G. Golub, C. Reinsch posted to svd machine-learning journal by abellogin on 2009-10-04 20:08:09 as along with 1 person fer
	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 rules machine-learning internship-09 by abellogin on 2009-10-04 02:42:40 as along with 14 people jdu michaelmampaey radical bigga tetsus tvdbulck dolhani abonchen pollaeng amsantos imrchen conley gvdh Yanno
	Association Rules Mining: A Recent Overview [My Copy] International Transactions on Computer Science and Engineering, Vol. 32, No. 1. (2006), pp. 71-82. by Sotiris Kotsiantis, Dimitris Kanellopoulos posted to survey rules machine-learning journal by abellogin on 2009-10-04 02:37:16 as along with 1 person eabait
	Probabilistic Association Rules for Item-Based Recommender Systems [My Copy] In Proceeding of the 2008 conference on STAIRS 2008 (2008), pp. 36-46. by Sylvain Castagnos, Armelle Brun, Anne Boyer posted to rules recommender probabilistic-model personalization machine-learning collaborative-filtering by abellogin on 2009-10-02 19:10:41 as
	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
	Probabilistic Explanation Based Learning [My Copy] Machine Learning: ECML 2007 (2007), pp. 176-187. by Angelika Kimmig, Luc De Raedt, Hannu Toivonen posted to probability-model machine-learning logic explanation by abellogin on 2009-08-14 17:30:47 as
	Stability Based Sparse LSI/PCA: Incorporating Feature Selection in LSI and PCA [My Copy] Machine Learning: ECML 2007 (2007), pp. 226-237. by Dimitrios Mavroeidis, Michalis Vazirgiannis posted to survey stability sparsity preprocessing pca matrix-perturbation-theory machine-learning lsi feature-selection bootstrapping by abellogin on 2009-08-12 11:50:51 as
	Missing Data Problems in Machine Learning [My Copy] (2008) by Benjamin Marlin posted to machine-learning thesis by abellogin on 2009-08-11 13:20:49 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
	Supervised learning from multiple experts: whom to trust when everyone lies a bit [My Copy] In ICML '09: Proceedings of the 26th Annual International Conference on Machine Learning (2009), pp. 889-896. by Vikas C. Raykar, Shipeng Yu, Linda H. Zhao, et al.Anna Jerebko, Charles Florin, Gerardo H. Valadez, Luca Bogoni, Linda Moy posted to expert internship-09 machine-learning supervised-projection trust by abellogin on 2009-08-10 13:01:39 as along with 2 people AlisonBabeu nliu82
	Are click-through data adequate for learning web search rankings? [My Copy] In CIKM '08: Proceeding of the 17th ACM conference on Information and knowledge management (2008), pp. 73-82. by Zhicheng Dou, Ruihua Song, Xiaojie Yuan, Ji R. Wen posted to cikm classifier clickthrough-history ir learning-classification machine-learning ranking by abellogin on 2009-07-30 20:05:48 as along with 4 people and 1 group ejmeij chrisd vitalaswp4 ctl ilps
	The combining classifier: to train or not to train? [My Copy] Pattern Recognition, 2002. Proceedings. 16th International Conference on In Pattern Recognition, 2002. Proceedings. 16th International Conference on, Vol. 2 (2002), pp. 765-770 vol.2. by R. P. W. Duin posted to classifier machine-learning by abellogin on 2009-06-02 23:03:53 as along with 2 people Jaldert assad79
	Statistical Comparisons of Classifiers over Multiple Data Sets [My Copy] J. Mach. Learn. Res., Vol. 7 (2006), pp. 1-30. by Janez Demsar posted to analysis classifier evaluation machine-learning by abellogin on 2009-04-03 09:23:22 as along with 1 person mmunson
	Comprehensive Exam Topic: Recommendation Systems [My Copy] by Mihai Rotaru posted to aggregation bayesian-network-models collaborative-filtering content-based context entropy evaluation hybrid-recommender ir machine-learning pca preference recommender sparsity survey thesis uncertainty utility-theory by abellogin on 2009-03-23 11:24:15 as
	Methods and metrics for cold-start recommendations [My Copy] In Proceedings of the 25th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval (SIGIR 2002) (2002), pp. 253-260. by A. Schein, A. Popescul, L. Ungar, D. Pennock posted to plsa sigir recommender probability-model probabilistic-model machine-learning lsi hybrid-recommender evaluation content-based collaborative-filtering cold-start-problem by abellogin on 2009-03-11 09:34:50 as along with 5 people lzhlynn zhaomin imrchen macle sugarexpletive
	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 56 people and 6 groups UniQ bfraser 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
	Collaborative filtering based on a random walk model on a graph [My Copy] by Marco Saerens, Francois Fouss, Alain Pirotte, Luh Yen, Pierre Dupont, Jean-Michel Renders posted to collaborative-filtering graph machine-learning markov-chain mds pca slides svm by abellogin on 2009-02-12 08:56:53 as
	A Unified Recommendation Framework Based on Probabilistic Relational Models [My Copy] Social Science Research Network Working Paper Series (06 June 2006) by Zan Huang, Daniel D. Zeng, Hsinchun Chen posted to collaborative-filtering content-based hybrid-recommender machine-learning recommender probabilistic-model by abellogin on 2009-02-12 08:31:11 as
	An Unsupervised Learning Algorithm for Rank Aggregation [My Copy] Machine Learning: ECML 2007 (2007), pp. 616-623. by Alexandre Klementiev, Dan Roth, Kevin Small posted to aggregation machine-learning rank-aggregation ranking by abellogin on 2009-02-11 12:02:12 as along with 2 people gionis donade
	Ensemble Based Systems in Decision Making [My Copy] IEEE Circuits and Systems Magazine, Vol. 6, No. 3. (2006), pp. 21-45. by R. Polikar posted to aggregation dempster-shafer hybrid-recommender machine-learning rank-aggregation by abellogin on 2009-01-15 11:02:02 as along with 3 people and 1 group zhengliu harperf egibaja Boosting
	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
	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
	Dynamic Web log session identification with statistical language models [My Copy] JASIST, Vol. 55, No. 14. (2004), pp. 1290-1303. by Xiangji Huang, Fuchun Peng, Aijun An, Dale Schuurmans posted to context context-detection entropy information-theory language-models machine-learning smoothing survey uncertainty by abellogin on 2008-09-29 08:35:48 as
	A study of semantic context detection by using SVM and GMM approaches [My Copy] In ICME (2004), pp. 1591-1594. by Wei T. Chu, Wen H. Cheng, Ja L. Wu, Jane posted to classifier context context-detection hidden-markov-model machine-learning svm time-series by abellogin on 2008-09-26 10:30:11 as
	AdaRank: a boosting algorithm for information retrieval [My Copy] In SIGIR '07: Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval (2007), pp. 391-398. by Jun Xu, Hang Li posted to ir machine-learning ranking by abellogin on 2008-09-23 12:14:09 as along with 1 person coleslaw
	Learning to rank with SoftRank and Gaussian processes [My Copy] In SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval (2008), pp. 259-266. by John Guiver, Edward Snelson posted to letor machine-learning probability ranking sigir uncertainty by abellogin on 2008-09-15 11:31:01 as along with 2 people ldietz agulli
	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
	Uncertainty and Computational Markets [My Copy] In UAI 2003 by Michael Wellman posted to aggregation bayesian-network-models decision-making machine-learning preference slides uncertainty utility-theory by abellogin on 2008-08-25 13:46:53 as
	On understanding and classifying web queries [My Copy] (2006) by Steven M. Beitzel posted to ambiguity classifier ir machine-learning query-difficulty thesis by abellogin on 2008-08-25 11:59:00 as
	Combining Pattern Classifiers: Methods and Algorithms [My Copy] (01 July 2004) by Ludmila I. Kuncheva posted to book classifier machine-learning by abellogin on 2008-08-11 17:31:47 as along with 6 people and 1 group operon rsantana sdvillal AbnerCYH napvasconcelos drivard CSBBGraphTheory
	Probabilistic combination of text classifiers using reliability indicators: models and results [My Copy] In SIGIR (2002), pp. 207-214. by Paul N. Bennett, Susan T. Dumais, Eric Horvitz posted to classifier machine-learning probabilistic-model text-classification by abellogin on 2008-08-04 14:19:18 as
	The Combination of Text Classifiers Using Reliability Indicators [My Copy] Information Retrieval, Vol. 8, No. 1., 67. by Paul N. Bennett, Susan T. Dumais, Eric Horvitz posted to classifier machine-learning text-classification by abellogin on 2008-08-04 14:18:31 as
	Learning to rank with ties [My Copy] In SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval (2008), pp. 275-282. by Ke Zhou, Gui-Rong Xue, Hongyuan Zha, Yong Yu posted to features ir letor machine-learning preference probability ranking risk-minimization sigir ties trec by abellogin on 2008-07-29 12:21:34 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
	EigenRank: a ranking-oriented approach to collaborative filtering [My Copy] In SIGIR '08: Proceedings of the 31st annual international ACM SIGIR conference on Research and development in information retrieval (2008), pp. 83-90. by Nathan N. Liu, Qiang Yang posted to collaborative-filtering evaluation hidden-markov-model machine-learning pagerank personalisation recommender sigir survey probabilistic-model by abellogin on 2008-07-29 11:44:58 as along with 2 people zhaomin macle
	A Hybrid Feature Selection Method for Text Categorization [My Copy] International Journal of Uncertainty, Fuzziness and Knowledge-Based Systems, Vol. 15, No. 2. (2007), pp. 133-151. by Elena Montañés, José R. Quevedo, Elías F. Combarro, Irene Díaz, José Ranilla posted to classifier information-theory machine-learning svm text-classification by abellogin on 2008-07-29 10:02:10 as
	Learning and Revising User Profiles: The Identification of Interesting Web Sites [My Copy] Machine Learning, Vol. 27, No. 3. (1 June 1997), pp. 313-331. by Michael Pazzani, Daniel Billsus posted to classifier information-theory machine-learning probabilistic-model recommender user-model wordnet by abellogin on 2008-07-17 11:16:28 as along with 6 people and 2 groups imrchen apocapoc dokooh asli2021 dvallet cpcreed Adaptive-Web NETS-UAM
	A maximum entropy web recommendation system: combining collaborative and content features [My Copy] In KDD '05: Proceeding of the eleventh ACM SIGKDD international conference on Knowledge discovery in data mining (2005), pp. 612-617. by Xin Jin, Yanzan Zhou, Bamshad Mobasher posted to collaborative-filtering constraint-satisfaction entropy features lsi machine-learning maximum-entropy probabilistic-indexing recommender by abellogin on 2008-07-15 10:48:43 as along with 6 people and 2 groups pwais ansobol palakorn halacsy kaz24 imrchen Drexel-HCI Drexel-eVoting
	A Web Recommendation System Based on Maximum Entropy [My Copy] In ITCC (1) (2005), pp. 213-218. by Xin Jin, Bamshad Mobasher, Yanzan Zhou posted to clickthrough-history constraint-satisfaction entropy features lsi machine-learning maximum-entropy preference probabilistic-indexing recommender by abellogin on 2008-07-15 10:27:24 as
	The Cross-Entropy Method: A Unified Approach to Combinatorial Optimization, Monte-Carlo Simulation and Machine Learning (Information Science and Statistics) [My Copy] (28 July 2004) by Reuven Y. Rubinstein, Dirk P. Kroese posted to book entropy machine-learning by abellogin on 2008-07-07 08:05:42 as along with 2 people sugarexpletive rsantana
	Recommender systems using linear classifiers [My Copy] J. Mach. Learn. Res., Vol. 2 (2002), pp. 313-334. by Tong Zhang, Vijay S. Iyengar posted to machine-learning recommender by abellogin on 2008-06-24 12:16:52 as
	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. (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 28 people and 6 groups hsyoon 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
	Empowering AEH Authors Using Data Mining Techniques [My Copy] In Fifth International Workshop on Authoring of Adaptive and Adaptable Hypermedia (A3H) held at the 11th International Conference on User Modeling (UM2007) (June 2007) by C. Vialardi, J. Bravo, A. Ortigosa posted to adaptive-system e-learning machine-learning um by abellogin on 2008-05-12 08:53:02 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
	A3H: Fifth International Workshop on Authoring of Adaptive and Adaptable Hypermedia [My Copy] In A3H: Fifth International Workshop on Authoring of Adaptive and Adaptable Hypermedia (UM2007) (June 2007), pp. 1-84. by Alexandra Cristea, Rosa M. Carro posted to adaptive-system e-learning evaluation machine-learning ontology personalisation user-model by abellogin on 2008-04-24 21:00:03 as
	A Problem-Oriented Method for Supporting AEH Authors through Data Mining [My Copy] In Proceedings of the International Workshop on Applying Data Mining in e-Learning 2007 (2007), pp. 53-62. by Javier Bravo, César Vialardi, Alvaro Ortigosa posted to adaptive-system machine-learning by abellogin on 2008-04-24 11:36:35 as along with 1 person eitelman

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

Result page: 1 2 Next

ir	265
hci	175
interact07	163
recommender	149
collaborative-filtering	124
aggregation	94
language-models	90
uncertainty	78
ontology	73
personalisation	72
evaluation	67
sigir	66
user-model	59
rank-aggregation	58
machine-learning	57
probabilistic-model	53
survey	50
book	49
probability	48
context	47
decision-making	46
query-difficulty	45
tag	44
query-expansion	42
internship-09	41
journal	41
analysis	40
definition	39
entropy	38
relevance-feedback	38
folksonomy	36
ranking	34
uam	32
lsi	31
ambiguity	29
dimension-reduction	29
classifier	28
sparsity	27
fuzzy	27
content-based	27
relevance	27
hybrid-recommender	26
trec	26
smoothing	25
pca	25
ecir	25
clustering	25
explanation	23
preference	23
cikm	21
clarity	21
query-performance	21
usability	19
svd	19
utility-theory	19
dempster-shafer	18
distribution-estimation	18
lasso	18
rules	17
thesis	17
genetic-algorithm	17
adversarial	16
vector-space-model	16
bayesian-network-models	16
psychology	16
supervised-projection	15
probability-model	15
not-found	15
plsa	14
implicit-feedback	14
graph	14
user-centered	13
ictir	13
evidence	13
adaptive-system	12
group	12
information-theory	12
news	12
decision-tree	12
non-parametric	12
clickthrough-history	11
www	11
score-normalization	11
logic	11
pagerank	11
nlp	11
poster	11
blind-feedback	10
sqaru	10
trust	10
svm	10
maximum-entropy	9
kernel-estimator	9
risk	9
clarity-score	9
wordnet	8
em-algorithm	8
text-classification	8
neighborhood	8
slides	8
hidden-markov-model	8
context-detection	8
confidence	7
code	7
multicriteria	7
petri-nets	7
spreading-activation	6
risk-minimization	6
ndcg	6
term-weighting	6
markov-chain	6
query-drift	6
naive-bayes	5
hits	5
timetable-problem	5
e-learning	5
lda	5
grammar	5
convex-optimization	5
expert	4
statistical-translation	4
query-ambiguity	4
features	4
similarity	4
link-analysis	4
novelty	4
lemur	4
um	4
context-expansion	4
grammatical-evolution	3
lattice	3
document-classification	3
constraint-satisfaction	3
cluster-language-model	3
letor	3
cross-language	3
neural-networks	3
distributed	3
vagueness	3
url	3
abductive-reasoning	3
probabilistic-indexing	3
google	3
tfidf	3
query-reweighting	3
dfr	3
time-series	3
matrix-approximation	3
ngram	3
cold-start-problem	3
evidential-reasoning	3
jensen-shannon-divergence	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 machine-learning [57 articles] Export

abellogin's tags