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1British 1990 growth reference centiles for weight, height, body mass index and head circumference fitted by maximum penalized likelihood
T. Cole, J. Freeman, and M. Preece. Statistics in Medicine, 17 (4): 407--429 (February 1998)
2 years ago by @sveng
show all tags
Anthropometry,
Reference
Distribution,
Normal
Values,
Statistical,
Humans,
Adult,
Age,
Kingdom
Male,
Mass
Index,
Gestational
Models,
Infant,
Functions,
Female,
United
Head,
Child,
Adolescent,
Confidence
Intervals,
Height,
Likelihood
Cephalometry,
Preschool,
Weight,
Body
Anthropometry,ReferenceDistribution,NormalValues,Statistical,Humans,Adult,Age,KingdomMale,MassIndex,GestationalModels,Infant,Functions,Female,UnitedHead,Child,Adolescent,ConfidenceIntervals,Height,LikelihoodCephalometry,Preschool,Weight,Body
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4Generalized linear mixed models: a practical guide for ecology and evolution.
B. Bolker, M. Brooks, C. Clark, S. Geange, J. Poulsen, M. Stevens, and J. White. Trends in Ecology & Evolution, 24 (3): 127--135 (2009)
8 years ago by @yourwelcome
show all tags
Functions,
Bayes
Likelihood
Theorem,
ecology,
Models,
Software
Linear
Functions,BayesLikelihoodTheorem,ecology,Models,SoftwareLinear
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2Transfer of task representation in reinforcement learning using policy-based proto-value functions
E. Ferrante, A. Lazaric, and M. Restelli. Proceedings of the 7th international joint conference on Autonomous agents and multiagent systems - Volume 3, International Foundation for Autonomous Agents and Multiagent Systems, Richland, SC, (2008)
11 years ago by @eliseofe
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functions,
transfer
learning,
spectral
theory,
learning
reinforcement
proto-value
graph
functions,transferlearning,spectraltheory,learningreinforcementproto-valuegraph
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2Image registration using the Walsh transform
G. Lazaridis, and M. Petrou. IEEE Transactions on Image Processing, 15 (8): 2343--2357 (August 2006)
14 years ago by @cocus
show all tags
image
Walsh
scheme,
wavelet-based
registration,
matching,
methods,
system,
basis
transform,
functions,
multiple
correlation
channels,
approach,
approach
coefficients,
spectral
bands,
patch,
contour-based
transforms
matching
local
number
feature
correlation-based
imageWalshscheme,wavelet-basedregistration,matching,methods,system,basistransform,functions,multiplecorrelationchannels,approach,approachcoefficients,spectralbands,patch,contour-basedtransformsmatchinglocalnumberfeaturecorrelation-based
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2Image registration using the Walsh transform
G. Lazaridis, and M. Petrou. 15 (8): 2343--2357 (August 2006)
14 years ago by @cocus
show all tags
image
Walsh
scheme,
wavelet-based
registration,
matching,
methods,
system,
basis
transform,
functions,
multiple
correlation
channels,
approach,
approach
coefficients,
spectral
bands,
patch,
contour-based
transforms
matching
local
number
feature
correlation-based
imageWalshscheme,wavelet-basedregistration,matching,methods,system,basistransform,functions,multiplecorrelationchannels,approach,approachcoefficients,spectralbands,patch,contour-basedtransformsmatchinglocalnumberfeaturecorrelation-based
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3Sampling---50 years after Shannon
M. Unser, and M. Unser. Proceedings of the IEEE, 88, page 569--587. (April 2000)
14 years ago by @cocus
show all tags
models,
Hilbert
approximation
sampling
finite
theory,
squares
(mathematics),
basis
splines
functions,
anti-aliasing
interpolation
prefilters,
networks,
error,
projection,
nonbandlimited
wavelet
information
sampling,
rate,
multiwavelets,
theory
paradigm,
elements,
approximations,
band-limited
shift-in-variant
interpolation,
least
frames,
Shannon's
irregular
input,
splines,
spaces,
radial
signal
Hilbert-space
orthogonal
theorem,
transforms,
function
regular
generalized
Papoulis
formulation,
models,Hilbertapproximationsamplingfinitetheory,squares(mathematics),basissplinesfunctions,anti-aliasinginterpolationprefilters,networks,error,projection,nonbandlimitedwaveletinformationsampling,rate,multiwavelets,theoryparadigm,elements,approximations,band-limitedshift-in-variantinterpolation,leastframes,Shannon'sirregularinput,splines,spaces,radialsignalHilbert-spaceorthogonaltheorem,transforms,functionregulargeneralizedPapoulisformulation,
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1Relating amino acid sequence to phenotype: analysis of peptide-binding data
M. Segal, M. Cummings, and A. Hubbard. Biometrics, 57 (2): 632--42 (June 2001)
16 years ago by @ayres
show all tags
Antigens
Binding
Acid
Functions,
Complex,
Analysis,
I
Phenotype,
Humans,
Analysis
Major
Peptides,
Class
Variance,
of
Likelihood
Amino
Sequence,
Histocompatibility
Multivariate
Sites,
AntigensBindingAcidFunctions,Complex,Analysis,IPhenotype,Humans,AnalysisMajorPeptides,ClassVariance,ofLikelihoodAminoSequence,HistocompatibilityMultivariateSites,
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4Learning Team Strategies: Soccer Case Studies
R. Sałustowicz, M. Wiering, and J. Schmidhuber. Machine Learning, 33 (2-3): 263--282 (12 November 1998)
17 years ago by @brazovayeye
show all tags
probabilistic
incremental
program
functions,
evolution,
TD-Q
PIPE,
learning,
evaluation
coevolution
reinforcement
soccer,
multiagent
probabilisticincrementalprogramfunctions,evolution,TD-QPIPE,learning,evaluationcoevolutionreinforcementsoccer,multiagent
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1Genetic programming and its applications to the synthesis of digital logic
K. Dill, J. Herzog, and M. Perkowski. Communications, Computers and Signal Processing, PACRIM 1997, 2, page 823--826. Victoria, BC, Canada, (20-22 August 1997)
17 years ago by @brazovayeye
show all tags
set
genetic
randomly
sizes,
equations,
test
arbitrary
circuits,
applicability,
population
digital
synthesis,
functions,
input
gates,
criterion,
logic
complete
sets,
small
coverage,
experimental
recognition
results,
training
size,
variables,
expressions,
problem
algorithms,
optimization
programming,
function
CAD,
designed
setgeneticrandomlysizes,equations,testarbitrarycircuits,applicability,populationdigitalsynthesis,functions,inputgates,criterion,logiccompletesets,smallcoverage,experimentalrecognitionresults,trainingsize,variables,expressions,problemalgorithms,optimizationprogramming,functionCAD,designed
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publications (hide)9
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