[HTML][HTML] Guidelines for the conduct of clinical trials for spinal cord injury as developed by the ICCP panel: spontaneous recovery after spinal cord injury and statistical …
…, MH Tuszynski, D Lammertse, PF Bartlett… - Spinal cord, 2007 - nature.com
The International Campaign for Cures of Spinal Cord Injury Paralysis (ICCP) supported an
international panel tasked with reviewing the methodology for clinical trials in spinal cord …
international panel tasked with reviewing the methodology for clinical trials in spinal cord …
[PDF][PDF] A review of the immobilization of enzymes in electropolymerized films
PN Bartlett, JM Cooper - Journal of Electroanalytical Chemistry, 1993 - researchgate.net
… SCE; PMS was [521 mediator for the oxidation of NAD(P)H … S and P are the substrate
and product respectively, apd A/B and E/E’ represent the mediator and enxyme redox couples …
and product respectively, apd A/B and E/E’ represent the mediator and enxyme redox couples …
[HTML][HTML] Guidelines for the conduct of clinical trials for spinal cord injury (SCI) as developed by the ICCP panel: clinical trial outcome measures
…, MG Fehlings, JD Guest, N Kleitman, PF Bartlett… - Spinal cord, 2007 - nature.com
An international panel reviewed the methodology for clinical trials of spinal cord injury (SCI),
and provided recommendations for the valid conduct of future trials. This is the second of …
and provided recommendations for the valid conduct of future trials. This is the second of …
Convexity, classification, and risk bounds
… The goal is to choose a discriminant function f :X → R, from a class of functions F, such that
the sign of f(X) is an accurate prediction of Y under an unknown joint measure P on (X,Y). We …
the sign of f(X) is an accurate prediction of Y under an unknown joint measure P on (X,Y). We …
[BOOK][B] Neural network learning: Theoretical foundations
M Anthony, PL Bartlett, PL Bartlett - 1999 - idea-stat.snu.ac.kr
… ▶ Theorem 8.7 Suppose N is a feed-forward network with a total of W weights and k
computation units, in which the output unit is a linear threshold unit and every other …
computation units, in which the output unit is a linear threshold unit and every other …
[PDF][PDF] Genomic classification of cutaneous melanoma
…, S Balu, N Barnabas, J Bartlett, P Bartlett… - Cell, 2015 - cell.com
We describe the landscape of genomic alterations in cutaneous melanomas through DNA,
RNA, and protein-based analysis of 333 primary and/or metastatic melanomas from 331 …
RNA, and protein-based analysis of 333 primary and/or metastatic melanomas from 331 …
[PDF][PDF] Rademacher and Gaussian complexities: Risk bounds and structural results
PL Bartlett, S Mendelson - Journal of Machine Learning Research, 2002 - jmlr.org
… Let P be a probability distribution on X × {±1}, and suppose that (X1,Y1),... ,(Xn,Yn) and (X, Y
) are chosen independently according to P. Then, … Bartlett. The sample complexity of pattern …
) are chosen independently according to P. Then, … Bartlett. The sample complexity of pattern …
Boosting the margin: A new explanation for the effectiveness of voting methods
… Our approach is based on a similar result presented by Bartlett w x2 in a different context.
We prove rigorous, nonasymptotic … When clear from context, we abbreviate these by P A and …
We prove rigorous, nonasymptotic … When clear from context, we abbreviate these by P A and …
New support vector algorithms
… density with unit variance,4 and P a family of noise models generated from P by P := {p|p = 1
… 1.3 were generated iid from a distribution P(x, y) = P(x)P(y|x) with P(y|x) continuous and the …
… 1.3 were generated iid from a distribution P(x, y) = P(x)P(y|x) with P(y|x) continuous and the …
For valid generalization the size of the weights is more important than the size of the network
P Bartlett - Advances in neural information processing …, 1996 - proceedings.neurips.cc
… ) is a pseudometric space, a set T <; S is an f-cover of A if for all a in A there is a tin T with
p(t, a) < f.. We define N(A, f, p) as the size of the smallest f-cover of A. For x = (Xl, . . . , Xm) E Xm …
p(t, a) < f.. We define N(A, f, p) as the size of the smallest f-cover of A. For x = (Xl, . . . , Xm) E Xm …