Tag text-classification [79 articles] Export

Recent papers classified by the tag text-classification.

	Protein classification based on text document classification techniques [My Copy] Proteins: Structure, Function, and Bioinformatics, Vol. 58, No. 4., pp. 955-970. by Betty Y. Cheng, Jaime G. Carbonell, Judith Klein-Seetharaman posted to text-classification protein-classification bayesian-classifier by stharward on 2009-09-18 19:40:01 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 14 people and 1 group eddymier psj ChenxingYang WanderingAengus bsilverthorn weiweiguo galyardt briordan ldietz Phanix leinine whym lillejul adamsi L3S
	Effective multi-label active learning for text classification [My Copy] In KDD '09: Proceedings of the 15th ACM SIGKDD international conference on Knowledge discovery and data mining (2009), pp. 917-926. by Bishan Yang, Jian T. Sun, Tengjiao Wang, Zheng Chen posted to active-learning multi-label text-classification by Mohan-S on 2009-08-11 02:25:16 as along with 2 people sdvillal adamsi
	Clinical text classification under the Open and Closed Topic Assumptions. [My Copy] International journal of data mining and bioinformatics, Vol. 3, No. 3. (2009), pp. 299-313. by Yutaka Sasaki, Brian Rea, Sophia Ananiadou posted to clinical closed-topic open-topic text-classification by henk-cul to the group dbmi-nlp on 2009-07-30 15:57:23 as
	Detecting Tables in HTML Documents [My Copy] Document Analysis Systems V (2002), pp. 609-614. by Yalin Wang, Jianying Hu posted to text-classification by robert85 on 2009-07-11 20:09:09 as
	Table Detection via Probability Optimization [My Copy] Document Analysis Systems V (2002), pp. 272-282. by Yalin Wang, Ihsin Phillips, Robert Haralick posted to text-classification by robert85 on 2009-07-11 20:04:33 as
	Boosting for Text Classification with Semantic Features [My Copy] In In Proceedings of the MSW 2004 Workshop at the 10th ACM SIGKDD Conference on Knowledge Discovery and Data Mining (2004), pp. 70-87. by Stephan B. Andreas, Andreas Hotho posted to text-classification by robert85 on 2009-07-11 19:53:42 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
	Identification of transcription factor contexts in literature using machine learning approaches. [My Copy] BMC bioinformatics, Vol. 9 Suppl 3 (2008) by H. Yang, G. Nenadic, J. A. Keane posted to biological-features classification features learning machine text-classification transcription-factor voting by henk-cul to the group dbmi-nlp on 2009-06-08 17:54:27 as along with 5 people dullhunk farzanehs mariakmejia maralena alperyilmaz
	An Evaluation of Statistical Approaches to Text Categorization [My Copy] Information Retrieval, Vol. 1, No. 1. (1 April 1999), pp. 69-90. by Yiming Yang posted to classification classification-performance-metrics evaluation-methodology text-classification by sdvillal on 2009-06-07 12:27:33 as along with 1 person marlar
	Dimension Reduction in Text Classification with Support Vector Machines [My Copy] J. Mach. Learn. Res., Vol. 6 (2005), pp. 37-53. by Hyunsoo Kim, Peg Howland, Haesun Park posted to dimension-reduction kernel-machines text-classification by sdvillal on 2009-05-12 22:56:46 as along with 2 people k12u pflynn
	One-class svms for document classification [My Copy] Journal of Machine Learning Research, Vol. 2 (2002), pp. 139-154. by Larry M. Manevitz, Malik Yousef posted to jmlr one-class svm text-classification by adamsi on 2009-05-07 05:17:12 as along with 5 people bundschu sdvillal iris_2001 ak1992 mfcabrera
	Exploring Potential of Leave-One-Out Estimator for Calibration of SVM in Text Mining [My Copy] Advances in Knowledge Discovery and Data Mining (2004), pp. 361-372. by Adam Kowalczyk, Bhavani Raskutti, Herman Ferrá posted to calibration imbalanced kernel-machines multiclass text-classification by sdvillal on 2009-04-26 12:45:07 as
	Active Learning with History-Based Query Selection for Text Categorisation [My Copy] Advances in Information Retrieval (2007), pp. 695-698. by Michael Davy, Saturnino Luz posted to active-learning query-selection text-classification by Mohan-S on 2009-04-22 17:18:36 as
	Inductive learning algorithms and representations for text categorization [My Copy] In CIKM '98: Proceedings of the seventh international conference on Information and knowledge management (1998), pp. 148-155. by Susan Dumais, John Platt, David Heckerman, Mehran Sahami posted to kernel-machines text-classification by sdvillal on 2009-04-19 23:23:24 as along with 6 people hyifen mthomure ianturton mfcabrera vlachmore aaronhalfaker
	Text categorization with Support Vector Machines: Learning with many relevant features [My Copy] Machine Learning: ECML-98 (1998), pp. 137-142. by Thorsten Joachims posted to high-dimensionality text-classification by sdvillal on 2009-04-15 09:21:10 as along with 2 people anoop_kunchukuttan jgmorenof
	Developing Feature Types for Classifying Clinical Notes [My Copy] In Biological, translational, and clinical language processing (June 2007), pp. 191-192. by Jon Patrick, Yitao Zhang, Yefeng Wang posted to clinical coding text-classification by henk-cul to the group dbmi-nlp on 2009-03-23 21:03:22 as
	Combining classifiers in text categorization [My Copy] In Proceedings of SIGIR-96, 19th {ACM} International Conference on Research and Development in Information Retrieval (1996), pp. 289-297. by Leah S. Larkey, Bruce W. Croft edited by Hans P. Frei, Donna Harman, Peter Schäuble, Ross Wilkinson posted to aggregation classifier text-classification by abellogin on 2009-03-09 16:13:02 as along with 1 person and 1 group shilad GroupLens
	Large-scale text categorization by batch mode active learning [My Copy] In WWW '06: Proceedings of the 15th international conference on World Wide Web (2006), pp. 633-642. by Steven C. H. Hoi, Rong Jin, Michael R. Lyu posted to active-learning batch-mode text-classification by Mohan-S on 2009-03-02 13:05:39 as
	Batch Mode Active Learning with Applications to Text Categorization and Image Retrieval [My Copy] IEEE Transactions on Knowledge and Data Engineering, Vol. 99, No. 1. (5555) by Steven C. H. Hoi, Rong Jin, Michael R. Lyu posted to active-learning batch-mode image-retrieval text-classification by Mohan-S on 2009-02-27 17:38:28 as
	A Lightweight Approach to Semantic Annotation of Research Papers [My Copy] Natural Language Processing and Information Systems (2007), pp. 61-72. by Nicola Zeni, Nadzeya Kiyavitskaya, Luisa Mich, John Mylopoulos, James Cordy posted to annotation semantic text-classification by Mohan-S on 2009-02-27 16:19:13 as along with 7 people A_Olympia rickl midi1978 wnpx ianturton zpinhead frprinsen
	Text classification and co-training from positive and unlabeled examples [My Copy] In Proceedings of the ICML 2003 Workshop: The Continuum from Labeled to Unlabeled Data (2003), pp. 80-87. by François Denis, Anne Laurent, Rémi Gilleron, Marc Tommasi posted to bayesian-learning occ-statistical occ-with-unlabelled text-classification by sdvillal on 2009-02-22 19:29:17 as along with 1 person makrehchi
	Support Vector Machine Active Learning with Applications to Text Classification [My Copy] Journal of Machine Learning Research, Vol. 2 (November 2001), pp. 45-66. by Simon Tong, Daphne Koller posted to active-learning svm text-classification by Mohan-S on 2009-02-21 00:09:18 as along with 3 people ise asterix77 sdvillal
	Towards role-based filtering of disease outbreak reports. [My Copy] Journal of biomedical informatics (31 December 2008) by Son Doan, Ai Kawazoe, Mike Conway, Nigel Collier posted to named-entities text-classification by henk-cul to the group dbmi-nlp on 2009-02-04 14:41:56 as along with 1 person ianturton
	Representative Sampling for Text Classification Using Support Vector Machines [My Copy] Advances in Information Retrieval (2003), pp. 11-11. by Zhao Xu, Kai Yu, Volker Tresp, Xiaowei Xu, Jizhi Wang posted to sampling svm text-classification by Mohan-S on 2009-01-20 17:14:06 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
	Multi-dimensional classification of biomedical text: Toward automated, practical provision of high-utility text to diverse users [My Copy] Bioinformatics, Vol. 24, No. 18. (15 September 2008), pp. 2086-2093. by Hagit Shatkay, Fengxia Pan, Andrey Rzhetsky, W. John Wilbur posted to text-classification text-mining by yas on 2008-12-02 08:22:41 as along with 5 people operon Effie robert85 mitko guhjy
	Exploiting and integrating rich features for biological literature classification. [My Copy] BMC bioinformatics, Vol. 9 Suppl 3 (2008) by H. Wang, M. Huang, S. Ding, X. Zhu posted to text-classification by yas on 2008-10-14 14:30:36 as along with 4 people and 1 group Effie mariakmejia maralena guhjy NaCTeM
	Performance thresholding in practical text classification [My Copy] In CIKM '06: Proceedings of the 15th ACM international conference on Information and knowledge management (2006), pp. 662-671. by Hinrich Schütze, Emre Velipasaoglu, Jan O. Pedersen posted to active-learning practical-scenarios text-classification by sdvillal on 2008-08-04 21:31:50 as along with 2 people kedarb Mohan-S
	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
	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
	Non-linear correlation of content and metadata information extracted from biomedical article datasets. [My Copy] Journal of biomedical informatics, Vol. 41, No. 1. (February 2008), pp. 202-216. by T. Theodosiou, L. Angelis, A. Vakali posted to statistics text-classification by yas on 2008-07-07 03:29:41 as along with 1 person jasonzou
	An information-theoretic perspective of tf-idf measures [My Copy] Information Processing & Management, Vol. 39, No. 1. (January 2003), pp. 45-65. by Akiko Aizawa posted to multimedia-ir text-classification by sdvillal on 2008-06-19 12:51:30 as along with 7 people and 2 groups Keywan irenas yas gridinoc whym seyalas abellogin dbk-lab T_lab
	Modeling word burstiness using the Dirichlet distribution [My Copy] In ICML '05: Proceedings of the 22nd international conference on Machine learning (2005), pp. 545-552. by Rasmus E. Madsen, David Kauchak, Charles Elkan posted to dirichlet text-classification by sdvillal on 2008-06-11 16:03:24 as along with 3 people and 2 groups ejmeij ashleygeorge bsilverthorn LanguageModeling ilps
	Clustering documents with an exponential-family approximation of the Dirichlet compound multinomial distribution [My Copy] In ICML '06: Proceedings of the 23rd international conference on Machine learning (2006), pp. 289-296. by Charles Elkan posted to dirichlet text-classification by sdvillal on 2008-06-11 16:02:18 as along with 1 person bsilverthorn
	Building Text Classifiers Using Positive and Unlabeled Examples [My Copy] In ICDM '03: Proceedings of the Third IEEE International Conference on Data Mining (2003) by Bing Liu, Yang Dai, Xiaoli Li, Wee S. Lee, Philip S. Yu posted to occ-applications occ-others semi-supervised text-classification unsupervised-dr-for-classification by sdvillal on 2008-06-09 10:23:19 as
	Computational Methods of Feature Selection (Chapman & Hall/Crc Data Mining and Knowledge Discovery Series) [My Copy] (29 October 2007) posted to dimension-reduction feature-selection text-classification by sdvillal on 2008-05-21 17:01:02 as along with 5 people robert85 jdu gabriprat sona stefanmeissner
	Feature selection for text categorization on imbalanced data [My Copy] SIGKDD Explor. Newsl., Vol. 6, No. 1. (June 2004), pp. 80-89. by Zhaohui Zheng, Xiaoyun Wu, Rohini Srihari posted to dimension-reduction feature-selection imbalanced text-classification by sdvillal on 2008-05-21 10:15:45 as
	An Extensive Empirical Study of Feature Selection Metrics for Text Classification [My Copy] Journal of Machine Learning Research, Vol. 3 (March 2003), pp. 1289-1305. by George Forman posted to dimension-reduction feature-selection imbalanced text-classification by sdvillal on 2008-05-21 10:14:53 as along with 3 people and 1 group markymaypo pprett eacosta ARTFL
	Variational Extensions to EM and Multinomial PCA [My Copy] In ECML '02: Proceedings of the 13th European Conference on Machine Learning (2002), pp. 23-34. by Wray L. Buntine posted to dimension-reduction dirichlet pca sets-of-features text-classification by sdvillal on 2008-05-07 11:01:59 as along with 1 person kohei-h
	Latent Dirichlet Allocation [My Copy] Journal of Machine Learning Research, Vol. 3 (January 2003), pp. 993-1022. by David M. Blei, Andrew Y. Ng, Michael I. Jordan posted to dirichlet proportional-data text-classification by sdvillal on 2008-04-18 10:10:36 as along with 20 people and 2 groups jhe almadana lmaurits markymaypo jessopher bcroy dpl33 mehrbod markusd kohei-h pprett ejmeij mthomure bundschu julianpan vlachmore adamsi rayzhang pdlug zeppe ARTFL ilps
	Hierarchical classification of Web content [My Copy] In SIGIR '00: Proceedings of the 23rd annual international ACM SIGIR conference on Research and development in information retrieval (2000), pp. 256-263. by Susan Dumais, Hao Chen posted to hierarchical text-classification web by adamsi on 2008-04-14 09:04:42 as along with 6 people cmalek makrehchi eustachediemert gyuli agaelebe ChaTo
	BoosTexter: A Boosting-based Systemfor Text Categorization [My Copy] Mach. Learn., Vol. 39, No. 2-3. (2000), pp. 135-168. by Robert E. Schapire, Yoram Singer posted to text-classification by adamsi on 2008-03-10 08:00:06 as
	Frontiers of biomedical text mining: current progress [My Copy] Brief Bioinform (30 October 2007), bbm045. by Pierre Zweigenbaum, Dina Demner-Fushman, Hong Yu, Kevin B. Cohen posted to text-classification by yas on 2008-01-17 06:31:30 as along with 20 people and 3 groups artaban421 Effie svozil eitanla1 junehlee Keywan arafalov henk-cul Waderoad vkwn farzanehs bqchinh cisevol guhjy dullhunk hpiwowar wchapman yggdrasil TheresaNiederberger irenas Bioinformatics BergmanLab dbmi-nlp
	Using maximum entropy for text classification [My Copy] (1999) by K. Nigam, J. Lafferty, A. Mccallum posted to entropy features maximum-entropy naive-bayes text-classification by abellogin on 2007-12-30 16:58:47 as along with 3 people and 2 groups alterego frcchang ananthrk ReachGrasp Computational Cognitive Neuroscience Lab
	Using Unlabeled Data to Improve Text Classification [My Copy] (2001) by Kamal Nigam posted to semi-supervised-learning text-classification unlabeled-data by karlmicha on 2007-10-16 09:03:34 as along with 7 people jarek pechyony davidr MatMay buescher76 lyongu imrchen
	Text Classification from Labeled and Unlabeled Documents using EM [My Copy] Machine Learning, Vol. 39, No. 2/3. (2000), pp. 103-134. by Kamal Nigam, Andrew K. Mccallum, Sebastian Thrun, Tom M. Mitchell posted to em semi-supervised-learning text-classification unlabeled-data by karlmicha on 2007-10-16 09:03:00 as along with 8 people MatMay buescher76 adamchandra jread82 ananthrk NinaG kozaki ecome
	Distributional clustering of words for text classification [My Copy] In Proceedings of SIGIR-98, 21st {ACM} International Conference on Research and Development in Information Retrieval (1998), pp. 96-103. by Douglas L. Baker, Andrew K. Mccallum edited by Bruce W. Croft, Alistair Moffat, Cornelis J. van Rijsbergen, Ross Wilkinson, Justin Zobel posted to clustering text-classification by karlmicha on 2007-10-14 12:52:35 as along with 3 people sugarexpletive pflynn clickstone
	On Feature Distributional Clustering for Text Categorization [My Copy] In Proceedings of SIGIR-01, 24th {ACM} International Conference on Research and Development in Information Retrieval (2001), pp. 146-153. by Ron Bekkerman, Ran E. Yaniv, Naftali Tishby, Yoad Winter edited by Bruce W. Croft, David J. Harper, Donald H. Kraft, Justin Zobel posted to clustering text-classification by karlmicha on 2007-10-14 12:51:59 as along with 4 people education01 petrijooste sugarexpletive pflynn

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active-learning	10
dimension-reduction	9
feature-selection	9
semi-supervised	8
svm	8
semi-supervised-learning	7
em	6
classifier	5
clustering	5
machine-learning	5
clinical	4
dirichlet	4
kernel-machines	4
naive-bayes	4
classification	3
features	3
imbalanced	3
multi-label	3
occ-applications	3
batch-mode	2
biological-features	2
closed-topic	2
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crf	2
entropy	2
multimedia-ir	2
named-entities	2
occ-statistical	2
open-topic	2
pca	2
probabilistic	2
probabilistic-model	2
semisupervised	2
survey	2
transcription-factor	2
unlabeled-data	2
vector-space-model	2
voting	2
aggregation	1
annotation	1
bayesian	1
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blind-feedback	1
book	1
calibration	1
classification-performance-metrics	1
collaborative-filtering	1
cotraining	1
ecc-classification	1
ecir	1
em-algorithm	1
emotion-recognition	1
empirical-results	1
error-estimation	1
evaluation-methodology	1
fingerprint	1
future-of-search	1
hierarchical	1
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high-dimensionality	1
image-retrieval	1
information-retrieval	1
information-theory	1
ir	1
jmlr	1
lda	1
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lsi	1
machine	1
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ner	1
nlp	1
occ-neural-networks	1
occ-others	1
occ-with-unlabelled	1
one-class	1
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plsa	1
practical-scenarios	1
protein-classification	1
recommender	1
relational-learning	1
relevance-feedback	1
rim3	1
sampling	1
semantic	1
sets-of-features	1
smoothing	1
statistics	1
structured-output	1
taxonomy	1
text-retrieval	1
tfidf	1
transductive-learning	1
uncertainty	1
unsupervised	1
unsupervised-dr-for-classification	1

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