搜索结果: 1-15 共查到“管理学 R-Tree”相关记录22条 . 查询时间(0.111 秒)
A Survey of Tree Wardens to Assess Urban and Community Forestry Performance in Massachusetts (U.S.A.)
Urban and Community Forestry Tree Wardens Urban Foresters Urban Trees Massachusetts
2014/12/8
A Survey of Tree Wardens to Assess Urban and Community Forestry Performance in Massachusetts (U.S.A.).
This paper proposes an online tree-based Bayesian approach for reinforcement learning. For inference, we employ a generalised context tree model. This defines a distribution on multivariate Gaussian p...
Spectral Methods for Learning Multivariate Latent Tree Structure
Spectral Methods Learning Multivariate Latent Tree Structure
2011/7/19
This work considers the problem of learning the structure of a broad class of multivariate latent variable tree models, which include a variety of continuous and discrete models (including the widely ...
Spectral Methods for Learning Multivariate Latent Tree Structure
Multivariate Latent Spectral Methods
2011/7/19
This work considers the problem of learning the structure of a broad class of multivariate latent variable tree models, which include a variety of continuous and discrete models (including the widely ...
Approximate group context tree: applications to dynamic programming and dynamic choice models
categorical time series group context tree
2011/7/19
The paper considers a variable length Markov chain model associated with a group of stationary processes that share the same context tree but potentially different conditional probabilities.
Kernel density estimation (KDE) is a popular statistical technique for estimating the underlying density distribution with minimal assumptions. Although they can be shown to achieve asymptotic estima...
Kernel density estimation (KDE) is a popular statistical technique for estimating the underlying density distribution with minimal assumptions. Although they can be shown to achieve asymptotic estimat...
Joint estimation of intersecting context tree models
Context Tree Models Variable Length Markov Chains Penalized Maximum Likelihood joint estimation
2011/3/18
Data produced by two different sources is classified using variable length Markov chains. In many realistic situations it is conceiveable that the probabilistic context trees corresponding to the two ...
We introduce an extension of the P\'olya tree approach for constructing distributions on the space of probability measures. By using optional stopping and optional choice of splitting variables, the ...
Inference based on Procrustes means for the 3D shape of tree boles and mildly rank-deficient diffusion tensors
Shape Spaces Extrinsic Mean Mean Location GeneralProcrustes Analysis Weighted Procrustes Mean Strong Law of Large Numbers
2010/3/10
A method for inference on cylindricity of tree boles based on 3D
Kendall shapes is presented. This method employs Procrustes means
which are highly popular in the shape community. While for extrinsi...
Tree Density Estimation
kernel density estimation tree structured Markov network high dimensional inference risk consistency structure selection consistency
2010/3/9
We study graph estimation and density estimation in high dimensions. To
avoid the curse of dimensionality, we consider a family of density estimators based on
tree structured undirected graphical mo...
A Spatially-adjusted Bayesian Additive Regression Tree Model to Merge Two Datasets
BART CART Missing variables Spatial model Survey
2009/9/22
Scientic hypotheses of interest often involve variables that are not
available in a single survey. This is a common problem for researchers working
with survey data. We propose a model-based approac...
PERFECT TREE-LIKE MARKOVIAN DISTRIBUTIONS
Conditional independence graphical models Markov models
2009/9/18
We show that if a strictly positive joint probability
distribution for a set of binary variables factors according to a tree,
then vertex separation represents all and only the independence relation...
On the performances of a new thresholding procedure using tree structure
Besov spaces estimation maxiset minimax risk rate of convergence thresholding methods tree structure
2009/9/16
This paper deals with the problem of function estimation. Using the white noise model setting, we provide a method to construct a new wavelet procedure based on thresholding rules which takes advantag...
Tree and Grid factors of General Point processes
Point processes factors random tree random grid
2009/4/28
We study isomorphism invariant point processes of R^d; whose groups of symmetries are almost surely trivial. We define a 1-ended, locally finite tree factor on the points of the process, that is, a ma...