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Michael I. Jordan, Zoubin Ghahramani, Tommi S. Jaakkola, Lawrence K. Saul
2012 Machine Learning  
Thus we bound its logarithm variationally: ln S i ∈{0,1} exp j <k θ jk S j S k + j θ j0 S j = { j<k} =i θ jk S j S k + j =i θ j0 S j + ln S i ∈{0,1} exp j =i θ i j S i S j + θ i0 S i = { j<k} =i θ jk S  ...  More formally, we have: (E step) : Q (k+1) = arg max Q L Q, θ (k) (48) (M step) : θ (k+1) = arg max θ L Q (k+1) , θ (49) which is coordinate ascent in L(Q, θ).  ... 
doi:10.1023/a:1007665907178 fatcat:qrdodrap5fevncyagbxnuoylbq

Trump v. The ACA

Michael K. Gusmano, Michael S. Sparer, Lawrence D. Brown
2020 Health Economics, Policy and Law  
Michael K. Gusmano et al. Downloaded from  ... 
doi:10.1017/s1744133120000389 pmid:33138884 fatcat:qcfnosfyuraobme6g2we3dwlci

Manganese(II)-Dependent Extradiol-Cleaving Catechol Dioxygenase fromArthrobacter globiformisCM-2†

Adam K. Whiting, Yvonne R. Boldt, Michael P. Hendrich, Lawrence P. Wackett, Lawrence Que
1996 Biochemistry  
Determination of the steady-state kinetic parameters, k cat , K m , and K i , as reported in Table 2 , was carried out by adding a 10 µL aliquot of MndD solution (0.20-0.50 µM) to each of six disposable  ...  A Michaelis-Menten analysis was also carried out with a number of the substrates in order to determine values for k cat and K m .  ... 
doi:10.1021/bi951979h pmid:8555170 fatcat:7rsdmgx6qbd2hdixhrvj6zrafa

Attractor Dynamics in Feedforward Neural Networks

Lawrence K. Saul, Michael I. Jordan
2000 Neural Computation  
Applying the chain rule gives dL dW ij = ∂L ∂W ij + k ∂L ∂µ k ∂µ k ∂W ij + k ∂L ∂ξ k ∂ξ k ∂W ij , (3.16) where the last two terms account for the fact that the mean field parameters depend implicitly on  ...  We can simplify this expression by noting that the mean field equations describe fixed points at which ∂L/∂µ k = ∂L/∂ξ k = 0; thus the last two terms in equation 3.16 vanish.  ... 
doi:10.1162/089976600300015385 pmid:10935715 fatcat:4yayctuzunb6vlhdiq5rijrxja

Introduction: Disturbance and Caribbean Ecosystems

Jess K. Zimmerman, Michael R. Willig, Lawrence R. Walker, Whendee L. Silver
1996 Biotropica  
consideran las respuestas sobre bosques del Caribe a perturbaciones de huracin, particularmenre 10s efectos de Huracin Hugo sobre el bosque humedo en el Bosque Experimental de Luquillo (BEL), Puerro k  ...  Primary forests in Puerto k c o had been decimated by the late 1940s, leaving intact only the least productive, high elevation forests (Birdsey & Weaver 1987) .  ...  manuscripts, Jordi Altimiras translated and edother areas of the tropics outside the hurricane belt ited many Spanish versions of the abstracts and Rachel are needed to provide a comprehensive understand-Lawrence  ... 
doi:10.2307/2389085 fatcat:4pfhnlyejraqrfnwfzzaiav6fq

NIF optical materials and fabrication technologies: an overview

John H. Campbell, Ruth A. Hawley-Fedder, Christopher J. Stolz, Joseph A. Menapace, Michael R. Borden, Pamela K. Whitman, June Yu, Michael J. Runkel, Michael O. Riley, Michael D. Feit, Richard P. Hackel, Monya A. Lane (+1 others)
2004 Optical Engineering at the Lawrence Livermore National Laboratory II: The National Ignition Facility  
Proc. of SPIE Vol. 5341 85 the University of California, Lawrence Livermore National Laboratory under contract W-7405-Eng-48. 526 nm Fused Silica 780 nm Silicate Glass Proc. of SPIE Vol. 5341 95  ...  for laser-induced damage to polished SiO 2 surfaces at 1053 (•) and 526 Table 1 . 1 Summary of the number and types of large aperture (~0.5 to 1.0 m) optics used on the NIF Optical Engineering at the Lawrence  ... 
doi:10.1117/12.538471 fatcat:jypcndhhkvg6tmwdmdoxrb6g6e

Selective withdrawal of a two-layer viscous fluid

Jason Michael Cosgrove, Lawrence K Forbes
2013 ANZIAM Journal  
λ) dxdy (22) − γ (2k − 1)π 2(1 + λ) 2 B k0 (t), k = 1, 2, ...., M . for the time dependent Fourier coefficients.  ...  λ 0 2β −2β G(x, y, t) cos (2k − 1)πy 2(1 + λ) dxdy (33) − γ (2k − 1)π 2(1 + λ) 2 B k0 (t) k = 1, 2, ...., M , B kl (t) = −1 β(1 + λ) 1+λ 0 2β −2β G(x, y, t) cos lπx 2β sin kπy 1 + λ dxdy (34) − γD kl B  ... 
doi:10.21914/anziamj.v53i0.4981 fatcat:oc2peuxwb5gehemuhgqtr42o7u

Neighborhood Deprivation, Obesity and Diabetes in Gulf Residents

Michael D Hu, Kaitlyn G Lawrence, Mark R Bodkin, Richard K Kwok, Lawrence S Engel, Dale P Sandler
2020 American Journal of Epidemiology  
Cubbin C, Sundquist K, Ahlén H, Johansson S-E, Winkleby MA, Sundquist J. Neighborhood deprivation and cardiovascular disease risk factors: Protective and harmful effects.  ... 
doi:10.1093/aje/kwaa206 pmid:33524122 pmcid:PMC7850038 fatcat:pxnvefvatbdqrk3ygljqsghsia

Corporate Bond Market Transparency and Transaction Costs

Amy K. Edwards, Lawrence Harris, Michael S. Piwowar
2004 Social Science Research Network  
Using TRACE data-a complete record of all US OTC secondary trades in corporate bonds-we estimate average transaction cost as a function of trade size for each bond that traded more than nine times in 2003. We find that transaction costs are higher than in equities and decrease significantly with trade size. Highly rated bonds, recently issued bonds, and bonds that will soon mature have lower transaction costs than do other bonds. Costs are lower for bonds with publicly disseminated trade
more » ... and they drop when the TRACE system starts to publicly disseminate their prices. The results suggest that public traders would significantly benefit if bond prices were made more transparent.
doi:10.2139/ssrn.593823 fatcat:4f73gfp5bfhvvkr4j3q2zspxkm

Imbalanced Class Learning in Epigenetics

M. Muksitul Haque, Michael K. Skinner, Lawrence B. Holder
2014 Journal of Computational Biology  
Cluster-based oversampling (CBO) algorithms such as the one that uses K-means clustering create well-defined cluster boundaries and cluster means ( Jo and Japkowicz, 2004) .  ...  Details of the algorithm are given in Yang et al. (2009) and Yang et al. (2011) . for j = 1 to PopulationSize do for k = 1 to MajoritySize do initialize position and velocity of particle x i,j (t) /  ... 
doi:10.1089/cmb.2014.0008 pmid:24798423 pmcid:PMC4082351 fatcat:m6yuruvgmnbm5jkhugqa7pbgbu

Optimising the K Dark Filter for the Kunlun Infrared Sky Survey

Yushan Li, Jessica Zheng, Peter Tuthill, Matthew Freeman, Michael Ashley, Michael Burton, Jon Lawrence, Jeremy Mould, Lifan Wang
2016 Publications Astronomical Society of Australia  
the basis for the sensitivity calculations made in extensive science cases (Burton, Storey, & Ashley 2001; Burton et al. 2005; Lawrence et al. 2009a; Lawrence et al. 2009b; Lawrence et al. 2009c ) for  ...  Figure 2 shows the calculated thermal emission radiance from the system, when the telescope ambient temperature is 210 K, and the IR camera optics chamber is 150 K, and the detector is 77 K.  ... 
doi:10.1017/pasa.2016.5 fatcat:dwdlapnglzgmzhugulj5qt7vye

Machine learning for epigenetics and future medical applications

Lawrence B. Holder, M. Muksitul Haque, Michael K. Skinner
2017 Epigenetics  
K-mean clustering and hierarchical clustering have been widely used in biological data sets.  ...  Unsupervised Learning (e.g., K-means, 86 hierarchical clustering 87 ) Learn a model descriptive of the biological phenomena in the data. Does not require class labels on data.  ... 
doi:10.1080/15592294.2017.1329068 pmid:28524769 pmcid:PMC5687335 fatcat:lgkjessa3rf2pfmiguqodekoem

Man in Space

Margaret Mead, Donald N. Michael, Harold D. Lasswell, Lawrence K. Frank
1959 American Journal of the Medical Sciences  
Lasswett AND LAWRENCE K. FRANK. Pp. 49. New York: New York Academy 1958. ot Sciences Chronical of the World Health Organization, 12, No. 2, February, 1958. Pp. 37.  ...  Noyes, M.D., Superintendent, Norristown State Hospital, Norristown, Pa., and LAWRENCE C.  ... 
doi:10.1097/00000441-195901000-00050 fatcat:io7szp3wtndqjgnfmh4iseni2a

TheTetrahymena thermophilaPhagosome Proteome

Mary Ellen Jacobs, Leroi V. DeSouza, Haresha Samaranayake, Ronald E. Pearlman, K. W. Michael Siu, Lawrence A. Klobutcher
2006 Eukaryotic Cell  
7.00EϪ23 E, GO 103.m00129 6 (2) Lysosomal phospholipase A1/cathepsin L 24474971 8.00EϪ174 M, E, GO 85.m00169 3 (1) Methyltransferase-related protein 78702333 3.00EϪ18 3.m01844 10 (4) Na ϩ /K  ... 
doi:10.1128/ec.00195-06 pmid:17012537 pmcid:PMC1694822 fatcat:qsm5kv27vbckpcx5no7orfywgy

Corporate Bond Market Transaction Costs and Transparency

2007 Journal of Finance  
Using a complete record of U.S. OTC secondary trades in corporate bonds, we estimate average transaction costs as a function of trade size for each bond that traded more than nine times between January 2003 and January 2005. We find that transaction costs decrease significantly with trade size. Highly rated bonds, recently issued bonds, and bonds close to maturity have lower transaction costs than do other bonds. Costs are lower for bonds with transparent trade prices, and they drop when the
more » ... CE system starts to publicly disseminate their prices. The results suggest that public traders benefit significantly from price transparency.
doi:10.1111/j.1540-6261.2007.01240.x fatcat:3ce364cmbzgjzhphaoplpffpta
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