Labels:text | paper | font | document OCR: Teole A Document represento in, Feature selection, and learning algccithis used in sime let -learning ap roothes: (ile bag-di word's reprose wu han is used on' :Boolean features ucless notified that word freingency is used :" tro.] C.Apte. F. Damerady and'S Mt. weiss, "Toward l'anguare Independent Autoofated Stop To1 4 Decision rules Learning of Text Categoricalich Models, " Prot, Seventh and. It" ACM SIGIR Cont Reserich and Development in Information Berneval-ACY Press, New Frequency weight York, 1995, pp. 23-30. C: Apre, E Damerau. and S.M. Weiss ;, Text Mining wah Decision Rules and. Decision Trees, :- Workvig Notes of Learning from Text and the Web, Conf, Das ot wird's (fra) :" Stemming Boosisd decision Automated Learning and Discovery (COVALD'98), Carnegie Mellon Udine #min.fra trees Pittsburgh, 1998; http://www.cs.cmu.edu/-conald/conald.shitm Aithrinstrong et al: : Webwatcher. A Leaming hoprealice for the World wide; Web Site 1995 Spring Symp thformation Gathering from Heterogeneous, Informativityit ` TFIDF: Winnow, Olstoharer Eikonments, Alle Press, Miento Park, Calif .; 1995. WordStat M. Prabangs d' and. - Shoham &#Learning information Retnevar Abients Expert ments with Anconates Web Binising " AAA) 1995 Sprog Symice informe: tion Gathering from Heterogencours, Distributed Environments, AAAI-PIESS Menlo Park, Calif : 1995 B.T. BartelI. G.W.Gottred, and R.K. Belew .. "Laten: Semantic Indexing is an Optimal' Bag of words ytrq) et LSl. (latent semardic Special Case of Matindimensional Scathy, "Froc. ACM SIG Information Rethe's at AOM Press. New York: 1992, pp. 161-167. `indegoing using SVD) a.W. Jerry;S.T. Dumais,and Gay - D'acein .: Using I ippar Algebra for Intelligen it information Retrieval. Shall Review, vol. 37. 16. A. Dec. 1995 pp. 573-595 PW. Follz'and 'S.T. Duire S. Personalized Inforination Delivery An Arsipois of. Information-Filtering Methods,"Com. ACH, Vol. 35, No. 12. 1992, pp. 51 60. R.M Creery et al, . Tracing MIPS and M embry for Knowledge.Eng ."Comm. ACM, Vol. 35. No. 8. Aug. 1992, pp. 48 61. Bag'of words: Memory-based reasoning Www Cohens eartho to Classify English test wait'll,P wehtous. : Workshop 00 Inductive Lovic Programming. CS Deot : K,U Leuven, 1995-pp:3-24; 030 af -words !! Min nism ing: Decision rules, word position. WW. Coheti and to Singent: Conteo Sensitive, L'eaming Methods for That "Categorization: "Proc" 1917 Anni Ihr Y ACM SIGIR Cond. Research and. Ordered word *st Decision rules; Development in Information Retrieval (SIGIR '96), ACM Press, New York, desping expert 1996, pp. 307-315. B: Gelfanda M .- Votrekohler and Wf: Punch ilt; SAutomated Concept Extraction; Semariticigg ationship from Plain Text:" Wworking Notes of Leitching from Text and the web, Conf, Automated'Leaming and Discovery (COULD-93); Carnegie Mellon Unie connection ty orapai Pittsburgh: 1998:http://www.cs cmu ador-conais/conald.shting TALUbacherns): Probabilistic Analysis'of the Hocchio" bordhm wkhraniof fors' Text Categorization : Proc: tain ing conf, machine learning (ICol 97), Morgan Kaufmann, San Francisco, 1997, ob: 143. 151. maive Boyes Ban Mi words (fra) ."" Miciniumi tra Support Vector with Many Rotete it Features," Proc. Toth European Cont, Machine Learning Machines ECHA( 98): Springer Verlag, Berlin: 1998; pp. 137-142 Watam K-F. Low, and Chy. Hostusing Beyestan Newwork incuicton Appicoche for Text Categorization, "Jih Int ( joint Cont Artificial Intelligence (NICA197); Bag of words (fra) -o kutsal into; Bayesian neiwork: WAAl Press, Menlo Park, fast ., 1997, pp. 745-750 Watam a mio Y. Hop! Using a Generalbed Instante set for hotodolo fen Catesonizalich, Pind 21mh kimi ihrTACK SIGIR Conl. Research and Bag of words (ro) ist Sico list: Development'in Information Retrieval (SIGIR 98), ACME Pres, New York, E-nearest neighbor 1998. pp 81-89 D:D. Lewis and Ih RingJelks : Comparison of Two Learning Algorithinis for Text :" Categorialion ,: Proc. Turf Ann Syno, Document Analysis and information Bantol migrds Stop list + "Retrieval, Information Sciences Research Inst, Las Vegas, 1994, pp. 81-93 informnativity decision Trees D.D. Lewis and W.A. Galery:A Sequential Algorhim for Training Text Classifiers !! Proc. Seventh Anin InnlDiCM-SIGIR Cont. hesearch and Development in Bag of hvords Log likelihood; Logistic ratio Information fetnovel, ACM Press, New York, 1994. with nale Bages Anni I J ACM SIGIR Cool :: Research and Development in Information Retrieve! (SIGIR '96), ACM Press, New York, 1996; pp; 298-306. Ri Bete asid P. Tarlegally tAtlive t earning with Costmitlees: preliminary Resurs' eth Cornoaring Winnow and Perceptron in; Text Categorization,5 Working Wholes Bag'of word's Winnow :{in query of Learning from Todt and the Web: Couf Automated Learning and Discovery by committeo) (CONAL'D 98), Camegie Mellon Uni: Pittsburgh, 1998; http://www.cs.cm. eduf-conald.conald.shtml.
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