... part -of- speech tagging given limited training data We randomly divided the set of 1, 8 27 annotated tweets into a training set of 1,000 (14 ,5 42 tokens), a development set of 3 27 (4 ,77 0 tokens), and ... errors and improve consistency of tagging decisions across the corpus The released data and tools use the output of this final stage 1.1 2. 1 Table 1: The set of tags used to annotate tweets The last ... 91 85 98 95 71 95 97 79 83 99 91 N ∧ ~ R N ∧ ∧ N A V , ! L & U $ # G E T Z 82 93 98 97 89 89 26 88 72 45 N V ∧ , P ∧ , , P ∧ Table 3: Accuracy (recall) rates per class, in the test set with the...
... and efficacy of botulinum toxin type A in subjects with crow’s feet Dermatol Surg 20 05; 31: 25 7 26 2 JEADV 20 10, 24 , 128 5 129 5 129 5 25 Ascher B, Rzany BJ, Grover R Efficacy and safety of botulinum ... Dermatology and Venereology ª 20 10 European Academy of Dermatology and Venereology JEADV 20 10, 24 , 128 5 129 5 10 20 5 10 5 10 5 10 7.5 10 Drooping mouth corner Dimpled chin Platysmal bands ´ ´ Decollete ... Anatomy The orbicularis oris is a sphincter muscle ofthe mouth and a major muscle in the perioral region The fibres of this muscle control the direct closure and protrusion ofthe lips The lack of...
... describe them that way Don’t know which word they use? Ask Talk with your patrons, show them the gateway, and ask if they understand what the label means Take it a step further and ask if there’s ... Your task is to modify their behavior by proving that your new mousetrap is better thanthe one they’re using now, in ways that matter to them personally I Start by making a list ofthe major ... searching, whether they know about the library’s Web gateway, and what changes might make them use it more IDEA! • Assemble focus groups of patrons and potential patrons to discuss the library’s...
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... Virology Journal 20 08, 5 :71 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 http://www.virologyj.com/content /5/ 1 /71 Deibel R, Emrod DE, Dukelow W, Hinshaw VS, Wood JM: Influenza viruses and paramyxoviruses ... 1 .2% (n = 10, 120 , CI 1.1–1 .5% ) in Western Alaska, < 0.1% (n = 2, 57 5 , CI 0.0–0 .2% ) in the Arctic, 5. 5% (n = 2, 660, CI 4.6–6.4%) in the Interior of Alaska, and 0.6% (n = 3 17, CI < 0.1 2. 2%) in Coastal ... for 90 .7% (n = 15 ,23 1) ofthe samples and 9.3% (n = 1 ,56 6) were fresh fecal samples A total of 126 species of birds were tested, comprising 10 orders and 27 families We obtained 20 0 or more samples...
... Nonlinear Analysis: Real World Applications 11, 29 63 29 72 (20 10) 12 Xu, HK: Iterative algorithms for nonlinear operators J Lond Math Soc 66, 24 0 25 6 (20 02) doi:10.11 12/ S0 024 61 07 020 033 32 13 Bruck, ... Un ,2 x − T1 Un ,2 y) + 2 (Un ,2 x − Un ,2 y) + α3 (x − y) ≤ α1 T1 Un ,2 x − T1 Un ,2 y ≤ ≤ ≤ = 1 + 2 Un ,2 x − Un ,2 y + α3 x − y 1 −α1 2 T1 Un ,2 x − T1 Un ,2 y − Un ,2 x + Un ,2 y α1 ( Un ,2 x − Un ,2 ... α1 2 T1 Un ,2 x0 − Un ,2 x0 x0 − x 1 − 2 α3 Un ,2 x0 − x0 + κ (I − T1 )Un ,2 x0 = (1 − α3 ) Un ,2 x0 − x∗ α3 2 1 − 2 α3 Un ,2 x0 − x0 2 1 −α1 ( 2 − κ) T1 Un ,2 x0 − Un ,2 x0 ≤ = = 1 − 2 α3 Un ,2 x0...
... ∀i = 1, 2, N (3 :26 ) By Lemma 2. 6 and Lemma 2. 9, we have N F(S) = N F(Gi ) = i=1 VI(H, Bi , Mi ) (3 : 27 ) i=1 By Lemma 2. 13, we have ∞ F(K) = F(Ti ) (3 :28 ) i=1 By (3 . 25 ), (3 . 27 ), and (3 .28 ), we ... Optim Theor Appl 118, 4 17 428 (20 03) doi:10.1 023 /A:1 0 25 4 076 0 75 60 15 Li, Y, Wu, C: On the Convergence for an iterative method for quasivariational inclusions Fixed Point Theory Appl 20 10, 11 (20 10) ... nonexpansiveness of S and K, (3 .20 ) and Lemma 2. 3, we have that Q is nonexpansive mapping and F(Q) = F(K) F(S) (3 : 25 ) Kangtunyakarn Fixed Point Theory and Applications 20 11, 20 11:38 http://www.fixedpointtheoryandapplications.com/content /20 11/1/38...