tag :: learning, learning partial

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1Online Learning with Gaussian Payoffs and Side Observations
Y. Wu, A. György, and {. Szepesvári. NIPS, page 1360--1368. (September 2015)
5 years ago by @csaba
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asymptotic
bounds,
finite-sample
information,
learning
learning,
minimax
online
optimality
optimality,
partial
side-observations,
with
asymptoticbounds,finite-sampleinformation,learninglearning,minimaxonlineoptimalityoptimality,partialside-observations,with
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1Online Learning to Rank in Stochastic Click Models (long version)
M. Zoghi, T. Tunys, M. Ghavamzadeh, B. Kveton, {. Szepesvári, and Z. Wen. ICML, volume 70 of PMLR, page 4199-4208. (August 2017)
5 years ago by @csaba
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information,
learning
learning,
online
partial
rank
ranking,
stochastic
to
information,learninglearning,onlinepartialrankranking,stochasticto
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1TopRank: A practical algorithm for online stochastic ranking
T. Lattimore, B. Kveton, S. Li, and {. Szepesvári. NIPS, (September 2018)
5 years ago by @csaba
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information,
learning
learning,
online
partial
rank
ranking,
stochastic
to
information,learninglearning,onlinepartialrankranking,stochasticto
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1Online Learning to Rank with Features
S. Li, T. Lattimore, and {. Szepesvári. ICML, page 3856--3865. (May 2019)
5 years ago by @csaba
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bandits,
finite-armed
information,
learning
learning,
linear
online
partial
rank,
ranking,
stochastic
to
bandits,finite-armedinformation,learninglearning,linearonlinepartialrank,ranking,stochasticto
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1BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback
C. Li, B. Kveton, T. Lattimore, I. Markov, M. de Rijke, {. Szepesvári, and M. Zoghi. UAI, (August 2019)
5 years ago by @csaba
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information,
learning
learning,
online
partial
rank
ranking,
reranking,
start,
stochastic
to
warm
information,learninglearning,onlinepartialrankranking,reranking,start,stochastictowarm
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1A method to design a neural pattern recognition system by using a genetic algorithm with partial fitness and a deterministic mutation
M. Fukumi, and N. Akamatsu. Systems, Man, and Cybernetics, 1996. IEEE International Conference on, 3, page 1989--1993. IEEE Computer Society, (1996)
14 years ago by @cocus
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(artificial
Fourier
algorithm,
algorithms,
coin
convergence,
deterministic
features
fitness,
genetic
intelligence),
invariant
learning
learning,
multilayer
multilayered
mutation,
network
network,
neural
partial
pattern
perceptrons,
problem,
recognition
recognitionFourier
rotated
rotation
spectra,
system,
transform,
transforms,
(artificialFourieralgorithm,algorithms,coinconvergence,deterministicfeaturesfitness,geneticintelligence),invariantlearninglearning,multilayermultilayeredmutation,networknetwork,neuralpartialpatternperceptrons,problem,recognitionrecognitionFourierrotatedrotationspectra,system,transform,transforms,
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2Designing a neural network by a genetic algorithm with partial fitness
M. Fukumi, S. Omatu, and Y. Nishikawa. Proceedings of the IEEE International joint Conference on Neural Networks 1995, IJCNN'95, 4, page 1834--1838. IEEE Computer Society, (November 1995)
14 years ago by @cocus
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(artificial
Fourier
algorithm,
algorithms,
chromosome,
coin
convergence
convergence,
crossover
feedforward
fitness,
genetic
intelligence),
learning
learning,
methods,
nets,
network,
neural
numerical
object
of
operation
operation,
partial
recognition
recognitionFourier
selection
spectra,
system,
transform
transform,
(artificialFourieralgorithm,algorithms,chromosome,coinconvergenceconvergence,crossoverfeedforwardfitness,geneticintelligence),learninglearning,methods,nets,network,neuralnumericalobjectofoperationoperation,partialrecognitionrecognitionFourierselectionspectra,system,transformtransform,
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2Evolution of Mesh Refinement Rules for Impact Dynamics
D. Howard, and S. Roberts. Proceedings of the 2000 Congress on Evolutionary Computation CEC00, page 1297--1303. La Jolla Marriott Hotel La Jolla, California, USA, IEEE Press, (6-9 July 2000)
17 years ago by @brazovayeye
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(artificial
(mechanical),
Programming,
adaptive
algorithms,
applications
ball,
cells,
computation,
computing,
densities,
differential
dynamics,
engineering
equations,
evolution,
evolutionary
genetic
high
i,mpact
impact
impact,
intelligence),
learning
learning,
material
mechanical
mesh
metal
novel
partial
plate
refinement
refinement,
rule
speed
spherical
(artificial(mechanical),Programming,adaptivealgorithms,applicationsball,cells,computation,computing,densities,differentialdynamics,engineeringequations,evolution,evolutionarygenetichighi,mpactimpactimpact,intelligence),learninglearning,materialmechanicalmeshmetalnovelpartialplaterefinementrefinement,rulespeedspherical
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1Online Learning with Gaussian Payoffs and Side Observations

1Online Learning to Rank in Stochastic Click Models (long version)

1TopRank: A practical algorithm for online stochastic ranking

1Online Learning to Rank with Features

1BubbleRank: Safe Online Learning to Re-Rank via Implicit Click Feedback

1A method to design a neural pattern recognition system by using a genetic algorithm with partial fitness and a deterministic mutation

2Designing a neural network by a genetic algorithm with partial fitness

2Evolution of Mesh Refinement Rules for Impact Dynamics

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