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29 Jan 2010: 8:J;KI58:638:W8:9;8:Q,TJ;K58:FJ;xc38:c3KQ,O8:cL58:638:WY8:9P8:Q,Rg¥iikm/.

7 Jun 2010: Then, instead of solving theequations for c(x,t) with x and t continuous, they are solved for ci,j=c(xi,tj) where xi=i x and t=jj t ... Then using (3.9) and (3.10) in (3.3), the equation (3.11) is gotten and gives an expression of c at tj1 as afunction

25 Feb 2010: Kernel Methods forText-Independent. Speaker Verification. Chris Longworth. Cambridge University Engineering Departmentand. Christ’s CollegeFebruary 23, 2010. Dissertation submitted to the University of Cambridgefor the degree of Doctor of

10 Feb 2010: Pn3 y. Cn3|. 29. Let p be the cubic polynomial that is defined by p(tj ) = yj , j = n, n 1, n 2, andby p′(tn2) = f (tn2, yn2).

7 Jun 2010: tj The measured value. xj Input variables in neural networks. wi Weights in neural networks. ... predicted values yj of the output against those measured value tj:.

19 Nov 2010: 3) Let Tj be the jth Chebychev polynomial. Suppose γj is a sequence of non-negative numberswith.

21 Oct 2010: 15. Chappie JS, Acharya S, Liu YW, Leonard M, Pucadyil TJ, Schmid SL:An intramolecular signaling element that modulates dynaminfunction in vitro and in vivo. ... 29. Pucadyil TJ, Schmid SL: Real-time visualization of dynamin-catalyzed membrane fission

7 Jun 2010: E =. j. (tj yj)2 (3). where yj is a predicted value and tj the target value; to calculate this error we normalised the outputto be in the range 0.5.

15 Nov 2010: 2009 lectures on Set Theory. Thomas Forster. April 3, 2010. 2. Contents. 0.1 Foreword. 60.2 Notation and definitions. 7. 1 Proof theory and recursive function theory 91.1 Completeness of LPC. 91.2 Do some ordinals here. 111.3 Some recursive function

8 Jun 2010: Intrinsic and Synaptic Mechanisms Determining the Timing of NeuronPopulation Activity During Hippocampal Theta Oscillation. Gergő Orbán,1,2 Tamás Kiss,1,3 and Péter Érdi1,31Department of Biophysics, KFKI Research Institute for Particle and

7 Jun 2010: It differs morphologically from bainite. 48. a) ,c. g;.;:.Jf 'f';r;-tJ;L-:. ",. •.•r. p'J'O-' '" '" ". ,. • , "'';.a; ";1"'-' Jli ;. -'I f{ /":(I,. •••. 't f. ,"" '1> ". f-. • It i!o

22 Jul 2010: J. Fluid Mech. (1978), wol. 89, part 4 , p p. 609-646. Printed i n Great Britain 609. An exact theory of nonlinear waves on a Lagrangian-mean flow. By D. G. A N D R E W S U.K. Universities’ Atmospheric Modelling Group,. Reading, Berkshire,

7 Jun 2010: J. lli:=tanh (1) e!1)}4;" x'tJ J(2). where O!1) is defined as the bias that is analogous to theconstant that appears in the linear regression technique,.

24 Mar 2010: Maximum likelihood estimation of a multidimensional log-concave density. Madeleine Cule and Richard Samworth†University of Cambridge, UK. and Michael StewartUniversity of Sydney, Australia. Summary. Let X1,. , Xn be independent and identically

11 Nov 2010: Int J Biochem Cell Biol 41:323–329. 7. Koshland DE, Mitchison TJ, Kirschner MW (1988) Pole-wards chromosome movement driven by microtubuledepolymerization in vitro.

7 Jun 2010: THESIS FOR THE DEGREE OF DOCTOR OF PHILOSOPHY. Effect of Microstructure on Mechanical Properties of High. Strength Steel Weld Metals. Enda Keehan. Department of Experimental Physics. CHALMERS UNIVERSITY OF TECHNOLOGYAND. GÖTEBORG UNIVERSITY.

7 Jun 2010: 2 and 4). Thenoise in the output can be assessed by comparing thepredicted values yj of the output using this well fittednetwork, against those measured tj, for example,. ... ED!X. j. tj{yj 2. (1). ED should be expected to increase if important

30 Jul 2010: Substituting. tj = xj xj1 (1 j k 1), tk = x1 x2. ... t2j. k1j=1. tj. 2. The Hessian of this function is the (k 1) (k 1) matrix.

10 Jun 2010: Discriminative Adaptive Training andBayesian Inference forSpeech Recognition. Chandra Kant Raut. University of Cambridge. Emmanuel College. December 2009. This dissertation is submitted to the University of Cambrid ge. for the degree of Doctor of

7 Jun 2010: outputs, ti and tj, with corresponding input vectors iand jj. The closer the inputs, the smaller the exponentof the first term in Eq.