model paper space example 2
Tài liệu Báo cáo khoa học: "Sentiment Vector Space Model for Lyric-based Song Sentiment Classification" pdf
... Hovy, 20 04), information retrieval-based approach (Turney and Littman, 20 03) and machine learning approach (Pang et al., 20 02) , in which the last approach is found very popular Pang et al (20 02) ... unreliable We look into the model file created by the SVM-light algorithm and find that 1,868 of 2, 001 VSM training vectors are selected as support vectors while 1 ,22 2 s-VSM support vectors are ... based on VSM model and s-VSM model, respectively For the VSM model, we apply (CHI) algorithm (Yang and Pedersen, 1997) to select effective sentiment word features For the s-VSM model, we adopt...
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Tài liệu Báo cáo khoa học: "Lexical transfer using a vector-space model" doc
... target sentence) divided by #1 &2 #all #1 &2 Coverage bill [noun] 63 47 74% call [verb] 22 6 179 79% dry [adjective] 75% 22 19 86% 熱 [noun] 77 60 78% 飲む [verb] 38 26 68% 悪い [adjective] Table Coverage ... Ruigo-Shin-Jiten, Kadokawa, p 9 32, (in Japanese) Sato, S and Nagao, M (1990) Toward memory-based translation, Coling-90, pp 24 7 -25 2 Sumita, E (20 00) Word alignment using matrix PRICAI-00, 20 00, (to appear) ... data sparseness to be reduced Vector -space model This section explains our trial for applying a vector -space model to lexical transfer starting from a basic idea 2. 1 Basic idea We can select an appropriate...
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Báo cáo khoa học: "a Chat-oriented Dialogue System based on the Vector Space Model" ppt
... Performance Examples Our first example illustrates the beginning of a typical chat session between IRIS and a new user This example is depicted in Table Spkr IRIS USER IRIS 153 24 ,26 5 159,1 82 158.59 ... Lopez-Cozar R (20 10) Statistical dialog management methodologies for real applications In Proc of SIGDIAL’10, pp 26 9 -27 2 Murao H, Kawaguchi N, Matsubara S, Yamaguchi Y, Inagaki Y (20 03) Example- based ... University of Alicante Wallis P (20 10) A robot in the kitchen In Proceedings of the ACL 20 10 Workshop on Companionable Dialogue Systems, pp 25 -30 Banchs R E (20 12) Movie-DiC: a movie dialogue corpus...
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Báo cáo khoa học: "A Generalized Vector Space Model for Text Retrieval Based on Semantic Relatedness" pot
... assigned to 72 S.j.1 S.i.1 S.i .2 ti Synonym S.i .2 tj S.i.7 S.j.1 Hypernym S.j.5 Antonym Hyponym Network Expansion Example Initial Phase Hypernym Synonym Hyponym S.i.1 S.i .2. 2 Hyponym e1 e2 e3 S.j.1 ... S.i .2. 2 Hyponym e1 e2 e3 S.j.1 ti Domain S.j.1 S.i .2 Meronym S.i .2 Net 2. 0 Then, SR((ti , tj ), (S.i .2, S.j.1), O) = 0.53 · 0.4615 · 0. 52 = 0.014 42 Example of figure illustrates another possibility ... S.i .2, d2 the depth of S.i .2. 1, d3 the depth of S.i .2. 2 and d4 the depth of S.j.1, and dmax the maximum thesaurus depth For reasons of simplicity, let e1 = e2 = e3 = 0.5, and d1 = Naturally, d2...
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COST ACTION E36 Modelling and simulation in pulp and paper industry Proceedings of Model Validation Workshop pot
... condence8 , we get9 = FInv (0:80; 2; 600 2) = 3: 22 1 This gives 3: 22 1 = a11 a21 0:54141 0:040948 T 0 :26 594 0: 024 276 0: 024 276 0:0 022 161 0:54141 0:040948 a11 a21 which describes the ellipsoid in ... Lọmpửmiehenkuja A, PL 1604, 020 44 VTT puh vaihde 020 722 111, faksi 020 722 5000 VTT Processer, Vọrmemansgrọnden A, PB 1604, 020 44 VTT tel vọxel 020 722 111, fax 020 722 5000 VTT Processes, Lọmpửmiehenkuja ... Finland 20 05 JULKAISIJA UTGIVARE PUBLISHER VTT, Vuorimiehentie 5, PL 20 00, 020 44 VTT puh vaihde 020 722 111, faksi 020 722 4374 VTT, Bergsmansvọgen 5, PB 20 00, 020 44 VTT tel vọxel 020 722 111,...
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Working pAper series no 1041/ A pril 2009: An economic cApitAl model integrAting credit And interest rAte risk in the bAnking book doc
... 3,3 02 765 25 2 835 2, 318 15,788 4,337 933 2, 5 32 990 2, 711 1,033 2, 8 92 2, 726 3,716 4,790 3,891 8,871 4,079 3 ,27 4 1,897 3 ,27 3 2, 074 25 4 813 2, 290 - 12, 506 4,315 3,146 2, 4 92 -5,686 2, 681 -1, 621 2, 860 ... 10,379 2, 066 310 820 3,583 7,083 1,000 3 02 523 4,4 02 6,693 381 1,173 622 475 325 2, 740 12, 783 653 8 72 14 1,545 24 ,806 2, 106 83 406 1,609 961 47,381 12, 896 1,660 26 ,27 3 28 ,9 92 29,517 22 ,037 42, 174 ... 1, 728 -2, 549 1,9 12 -408 2, 7 72 1, 624 2, 955 1, 821 3,153 2, 049 1,378 3, 028 1,146 3, 027 765 170 835 2, 3 62 15,788 3,730 933 2, 503 990 2, 628 1,033 2, 748 2, 726 3,308 4,790 3, 425 8,8 72 3,551 3,001 1, 623 ...
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reconstructed state space model for
... ͡ 55. 32 77.91 /aŋ/ 71.44 78.76 /aʱɡ/ 71 .23 77. 32 /aɡ/ 76.34 / aʰk/ 768 Recognition Accuracy ANN 25 6 5 12 768 25 6 71 .29 70 .23 61.11 62. 03 58.96 51.89 49.43 45.76 72. 32 70.65 70. 12 61.63 62. 44 57.69 ... 76.11 72. 21 56.13 55.84 58.56 49.76 48. 42 44.76 78 .23 74.59 70 .21 58 .27 56. 42 53.87 51.98 51.01 48.98 72. 19 69.76 69. 12 59. 02 60.76 56.13 53.76 51.98 43.65 74.87 71.19 72. 23 60.59 60.06 53 .24 49.65 ... 46.43 45.35 70.41 66. 32 57.46 57.98 54.67 48.76 42. 90 41.54 73. 12 70 .22 52. 54 54.34 51.54 43.76 42. 54 41.98 68.56 66.98 53.47 55 .23 54.56 43.54 42. 76 40.58 73.54 70 .22 50 .28 52. 33 49.34 40.45 41.65...
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báo cáo hóa học: " Development and validation of the Brazilian version of the Attitudes to Aging Questionnaire (AAQ): An example of merging classical psychometric theory and the Rasch measurement model" pptx
... 26 .4 18.4 12. 3 23 .3 8.5 9.9 16.1 20 .3 15.1 23 .9 19.6 4.3 17 11.1 9.5 21 .5 5.4 9.7 21 .5 1.9 20 .8 23 13 17.8 12. 3 13.7 16.7 17.5 14.6 30.7 25 .2 16.3 18 .2 16.5 22 .2 18.4 30 .2 26.9 29 .2 25 .2 22. 2 ... 26 .9 29 .2 25 .2 22. 2 16 25 23 .3 28 .5 22 .2 21.7 18.6 15.4 19.9 26 .1 16.8 16.5 22 .2 16.8 25 .5 9.7 25 21 .8 22 23 .7 34.5 42. 9 62. 3 14.4 47.6 30 .2 52. 4 14.6 55.9 60.1 16.5 62. 4 59 45.8 19.1 35.6 39.4 ... = 424 ) Item content Mean SD MV(%) 3. 42 3.81 2. 24 3.96 3.0 3.64 2. 27 3.76 3.79 2. 38 3.54 4 .26 3.41 2. 44 3.10 3.40 2. 17 3.61 3 .29 3. 32 2.80 3 .25 2. 16 2. 08 3.94 2. 36 3.43 3.58 2. 23 3.73 3.73 2. 55...
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báo cáo hóa học:" Development and validation of the Brazilian version of the Attitudes to Aging Questionnaire (AAQ): An example of merging classical psychometric theory and the Rasch measurement model" docx
... 26 .4 18.4 12. 3 23 .3 8.5 9.9 16.1 20 .3 15.1 23 .9 19.6 4.3 17 11.1 9.5 21 .5 5.4 9.7 21 .5 1.9 20 .8 23 13 17.8 12. 3 13.7 16.7 17.5 14.6 30.7 25 .2 16.3 18 .2 16.5 22 .2 18.4 30 .2 26.9 29 .2 25 .2 22. 2 ... 26 .9 29 .2 25 .2 22. 2 16 25 23 .3 28 .5 22 .2 21.7 18.6 15.4 19.9 26 .1 16.8 16.5 22 .2 16.8 25 .5 9.7 25 21 .8 22 23 .7 34.5 42. 9 62. 3 14.4 47.6 30 .2 52. 4 14.6 55.9 60.1 16.5 62. 4 59 45.8 19.1 35.6 39.4 ... = 424 ) Item content Mean SD MV(%) 3. 42 3.81 2. 24 3.96 3.0 3.64 2. 27 3.76 3.79 2. 38 3.54 4 .26 3.41 2. 44 3.10 3.40 2. 17 3.61 3 .29 3. 32 2.80 3 .25 2. 16 2. 08 3.94 2. 36 3.43 3.58 2. 23 3.73 3.73 2. 55...
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báo cáo hóa học:" Research Article Using a State-Space Model and Location Analysis to Infer Time-Delayed Regulatory Networks" potx
... CLN2 CLB1 SWI4 CLB2 CLB2 CLN1 CLB6 CLB5 FKH2 CLN3 CLB2 CLN3 CLN2 CLN1 CLB6 CLB5 FKH2 CLB1 SWI4 CLB2 CLN2 CLN1 ACE2 Order 2 2 2 2 2 2 2 2 2 1 2 2 2 2 Delay (τ) 0 0 2 2 2 0 2 0 0 2 2 well-studied ... 73 .24 35 62 75.5576 82 68.484476 77.0 029 57 70.89 322 8 63 .22 30 62 61.366645 61.383819 62. 457434 AIC 2. 510095 −3.01 629 2 2. 677518 2. 617587 2. 485664 −1.539307 2. 604613 −0.91 821 1 2. 303097 2. 43 028 1 ... 2. 43 028 1 2. 0 424 22 −1. 628 935 −1.758735 −1.687905 2. 475658 −3.80 020 3 2. 655417 −1.8 729 05 −3. 029 056 −1.360941 2. 237 727 2. 039319 2. 937196 −3.4 127 8 2. 119164 −1.993188 −1.786548 −0.473000 −1. 329 583...
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Báo cáo hóa học: " Research Article A Learning State-Space Model for Image Retrieval" pdf
... negative examples t=1 0.354 0.134 0.154 0.156 0.177 0 .24 1 0 .24 7 0.156 0 .24 5 0.415 0 .22 1 0 .28 5 0 .20 5 0 .22 3 0 .23 8 0 .29 7 0.450 0 .21 6 0 .28 3 0.197 0 .24 5 t =2 0.497 0 .25 1 0.3 02 0 .27 3 0 .26 8 0.475 0.404 0 .26 6 ... 0.531 0.7 52 0.705 0.538 0.606 0.883 0.543 0.673 0. 521 0. 523 0.643 0.633 0.888 0.7 12 0.736 0.695 0. 620 t=6 0.558 0.3 52 0.447 0.491 0.548 0.754 0. 722 0.555 0.607 0.884 0.545 0.673 0. 524 0.531 0.667 ... 2, pp 1816–1 823 , Beijing, China, October 20 05 [24 ] D Wang, “A multiscale gradient algorithm for image segmentation using watersheds,” Pattern Recognition, vol 30, no 12, pp 20 43 20 52, 1997 [25 ]...
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Enhancing state space reduction methods for model checking
... and L2 = (S2 , init2 , 2 , 2 , AP2 , L2 ) be two e0 e1 LTSs Let R ∈ S1 × S2 be a binary relation Consider paths π1 = init1 = s0 → s1 → · · · in L1 and e′ e′ 2 = init2 = s′ → s′ → · · · in L2 ... and only if L1 (s) = L2 (s′ ) Definition 11 Let L1 = (S1 , init1 , Σ1 , →1 , AP1 , L1 ) and L2 = (S2 , init2 , 2 , 2 , AP2 , L2 ) be two LTSs A binary relation R ∈ S1 × S2 is called stuttering ... 30 3 .2 Model Checking with Fairness 31 3 .2. 1 Fairness and Global Fairness 32 3 .2. 2 Model Checking with Fairness 34 3 .2. 3...
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In this paper, we investigate the relationship between migration and species distribution in multizone environment. We present a discrete model for migration of three competing species over three zones. We prove that the migration tactics of species leads
... systems In EPEW 20 12, Munich, 20 12 G Merle, J.-M Roussel, and J.-J Lesage Algebraic determination of the structure function of dynamic fault trees Rel Eng & Sys Safety, 96 (2) :26 7 27 7, 20 11 NASA Fault ... primary component is up at state x, we have f 2( x) = x And z ≤ f 2( z) as f is a failure event Finally f 2( x) = x ≤ z ≤ f 2( z), and we get: f 2( x) ≤ f 2( z), the result holds as well Due to the former ... (Event monotone) the model is event monotone if for all event e, Pe (x) does not depend on state x and for all event e, if x1 ≤ x2 then e(x1 ) ≤ e(x2 ) We assume that the model is event monotone...
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Model Test1.pdf
... Yes He'll be here between 2: 00 and 2: 30 M: Oh, no! I have to make 50 copies by 1:00 When must the man's copies be done? (A) By 12: 00 (B) By 1:00 √ (C) By 2: 00 (D) By 2: 30 60 W: We need to have ... officer is busy (B) A pair of gloves √ (C) He is nearby 32 How much paper we need? (A) Enough for ten copies √ (B) The newspaper costs 25 cents (C) I need to pay more 33 When does the plane leave? ... fill in the corresponding oval on your answer sheet 21 Good evening How are you? (A) It's time for bed (B) Fine, thank you √ (C) I'm not Mr Goode 22 Is this your pen? (A) No, it's not mine √ (B)...
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Model Test2.pdf
... corresponding oval on your answer sheet 21 Did you have a good trip? (A) Yes, thank you It was very pleasant √ (B) My vacation is in August (C) We are good friends 22 How long will you stay? (A) There ... (C) The tanker moves through the water √ (D) The crew are releasing the lines 20 Look at the picture marked number 20 in your test book (A) The pharmacist is holding the medicine √ (B) The woman ... counter √ (C) Many visitors are at the border (D) Bellboys wait in the lobby 12 Look at the picture marked number 12 in your test book (A) Ten of us are playing (B) The player hits the ball √...
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Model Test3.pdf
... performs an experiment √ 12 Look at the picture marked number 12 in your test book (A) Stairs go up the storage tank √ (B) The roof is pointed (C) It's a scientific model of the sun (D) The barbed ... corresponding oval on your answer sheet 21 How hungry are you? (A) Not very I had a late lunch √ (B) I've never been to Hungary (C) I'm thirty years old 22 Do you play basketball? (A) Yes, I emptied ... director √ (D) Introduce the director 62 M: Here is your room key The elevators are on your left W: Can I get a morning paper tomorrow? M: Certainly A paper can be delivered directly to your...
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Model Test4.pdf
... sheet 21 Who's there? (A) It's mine (B) Over here (C) It must be Joan √ 22 What are you thinking about? (A) The boat is sinking (B) I'm thinking about my vacation √ (C) Your ink pad is blue 23 When ... (C) The workers are talking over a distance (D) The plumbers repair the pipes 20 Look at the picture marked number 20 in your test book (A) There are walls on both sides of the track √ (B) The ... the door (C) The doorman carries a bag √ (D) The pilot prepares to take off 12 Look at the picture marked number 12 in your test book (A) People are waiting for their flight to board (B) Luggage...
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Model Test5.pdf
... (B) The man is at his desk √ (C) The worker is signing papers (D) The papers are strewn about randomly 12 Look at the picture marked number 12 in your test book (A) The agent is assisting the passenger ... a newspaper Is there a newsstand nearby? M: No, there isn't Please take my paper I'm through reading it W: No, thank you I prefer a different paper Why didn't the woman take the man's paper? ... the port (C) We'll take a taxi √ 29 Which newspapers you read? (A) The magazine is at the newsstand (B) I already read that book (C) I only read the morning papers √ 30 When will you return?...
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Model Test6.pdf
... corresponding oval on your answer sheet 21 Is this 23 7- 128 0? (A) No, you have the wrong number √ (B) I was born in November (C) I wear a smaller size 22 What is your address? (A) The woman's ... Why didn't you put an ad in the newspaper? (A) They wrapped the food in paper (B) That would have been a good idea √ (C) I'll put the newspaper on the table 27 How many times have you been to ... a local newspaper, please M: I'm sorry The morning paper is sold out, and the evening edition isn't available yet W: Then I guess I'll have to take a national paper What kind of paper will the...
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