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Non-uniform Refine and Smooth Subdivision for General Degree B-splines
https://www.cl.cam.ac.uk/research/rainbow/projects/subdnurbs/tnasrs.pdf21 Jun 2010: Aτi Ψ. BΨτk. tj ΨC C =. τk tjτk τi. A tj τiτk τi. ... D tk xτm x. E. H =x tjx τi. E tj τix τi. -
Second-Order Equational Logic(Extended Abstract) Marcelo Fiore1 and…
https://www.cl.cam.ac.uk/~mpf23/papers/Types/soeqlog.pdf14 Jun 2010: xj[ti/xi]1in = tj•(m[. ,s,. ]. )[ti/xi]1in = m. [. ,s[ti/xi]1in,. ... where f =〈[[Θ B Γ tj : αi,j]]A. 〉1jmi. • For o : ( γ1)τ1,. , ( -
Molecular basis for membrane remodelling and organization
https://www2.mrc-lmb.cam.ac.uk/groups/hmm/F-BAR_proteins/JMConference/speakerprofiles.html21 Nov 2010: Giraudo CG, Garcia-Diaz A, Eng WS, Chen Y, Hendrickson WA, Melia TJ, Rothman JE. ... Giraudo CG, Garcia-Diaz A, Eng WS, Yamamoto A, Melia TJ, Rothman JE. -
The Jiggins Lab Webpage
www.jiggins.gen.cam.ac.uk/Mike.html9 Sep 2010: Publications. Rollmann SM, Magwire MM, Morgan TJ, Ozsoy ED, Yamamoto A, Mackay TF, Anholt RR. -
slides.dvi
https://www.cl.cam.ac.uk/teaching/1011/L100/clark-lecture4.pdf2 Nov 2010: Viterbi Algorithm (for a bigram tagger) 5. δtj (n 1) = maxtiδti(n)P (ti|tj)P (wi|ti). ... where δtj (n1) is the probability of the most probable tag sequence endingin tag tj at position n 1. • -
jbmr0811763 1808..1818
www-civ.eng.cam.ac.uk/cjb/papers/p66.pdf19 Mar 2010: Osteoporos Int 20:445–453. 7. Beck TJ, Looker AC, Ruff CB, Sievanen H, Wahner HW 2000Structural trends in the ageing femoral neck and proximalshaft: Analysis of the third national health ... 19. Crabtree N, Loveridge N, Parker M, Rushton N, Power J, -
Neural Networks and Genetic Algorithms in Materials Science and ...
www.phase-trans.msm.cam.ac.uk/2006/NNGA.pdf7 Jun 2010: The noise in the output can be assessed by comparing the predicted values(yj) of the output against those measured (tj), for example,. ... ED. j. (tj yj)2. (3). ED is expected to increase if important input variables have been excluded from the. -
(MP9-1)
www.phase-trans.msm.cam.ac.uk/2003/MP9/MP9-1.pdf7 Jun 2010: the predicted values (yj ) of the output against those measured (tj ), for. ... example,. ED. j. (tj yj )2. (5). ED is expected to increase if important input variables have been ex-. -
LECTURE NOTES FOR IIB PARTIAL DIFFERENTIALEQUATIONSM. S. JOSHI AND ...
www.damtp.cam.ac.uk/user/dmas2/public_ps/pdewj.pdf27 Oct 2010: We reduce the problem to the 1st order case by introducingderivatives as new variables.Set yj = @jj@x @j@tj Y for j < k, jjj k. ... x @j@tj Y (x;0) B(x;0)= PA;jyj(x;0) B(x;0). -
8-rjg.dvi
www.statslab.cam.ac.uk/~frank/PAPERS/ghk.pdf31 Mar 2010: Then xK is a Markovprocess with transition rates. xK Tj,j1xK at rate νxKj K,j = 0, 1,. ... C 1. xK Tj,j1xK at rate jxKj K,j = 1, 2,.
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