搜索结果: 1-15 共查到“知识库 stochastic”相关记录823条 . 查询时间(0.14 秒)
We introduce stochastic sandpile models which imitate numerous aspects of the practical behavior of the LLL algorithm with compelling accuracy. In addition, we argue that the physics and mathematics o...
WATERBODIES EXTRACTION FROM LANDSAT8-OLI IMAGERY USING AWATER INDEXS-GUIED STOCHASTIC FULLY-CONNECTED CONDITIONAL RANDOM FIELD MODEL AND THE SUPPORT VECTOR MACHINE
Water index CRF Landsa Water extraction SVM
2018/5/15
One of the most important applications of remote sensing classification is water extraction. The water index (WI) based on Landsat images is one of the most common ways to distinguish water bodies fro...
STOCHASTIC SURFACE MESH RECONSTRUCTION
TLS point cloud point error model error ellipsoid variance-covariance propagation surface triangulation
2018/6/4
A generic and practical methodology is presented for 3D surface mesh reconstruction from the terrestrial laser scanner (TLS) derived point clouds. It has two main steps. The first step deals with deve...
Using stochastic language models (SLM) to map lexical, syntactic, and phonological information processing in the brain
map lexical syntactic
2017/9/1
Language comprehension involves the simultaneous processing of information at the phonological, syntactic, and lexical level. We track these three distinct streams of information in the brain by using...
STOCHASTIC COLOURED PETRINET BASED HEALTHCARE INFRASTRUCTURE INTERDEPENDENCY MODEL
Stochastic Coloured Petri net Critical Infrastructure Interdependency Disaster Preparedness Modelling and Simulation Healthcare Critical Infrastructure
2016/11/30
The Healthcare Critical Infrastructure (HCI) protects all sectors of the society from hazards such as terrorism, infectious disease outbreaks, and natural disasters. HCI plays a significant role in re...
Determining the optimal selling time of cattle:A stochastic dynamic programming approach
decision analysis farm management simulation
2016/11/11
The world meat market demands competitiveness, and optimal livestock replacement decisions can help to achieve this goal. In the article, there is introduced a novel discrete stochastic dynamic progra...
Probability in physics:stochastic,statistical,quantum
quantum mechanics statistical mechanics stochastic dynamics probability objective chance
2016/6/15
I review the role of probability in contemporary physics and the origin of probabilistic time asymmetry, beginning with the pre-quantum case (both stochastic mechanics and classical statistical mechan...
Non-equilibrium in Stochastic Mechanics
stochastic mechanics non-equilibrium non-linear Schroedinger equations non-locality pilot-wave theory
2016/5/27
The notion of non-equilibrium, in the sense of a particle distribution other than
rho equal psi squared, is imported into Nelson’s stochastic mechanics, and described in terms of effective wavefunct...
Stochastic Superoptimization
64-bit x86 x86-64 Binary Markov Chain Monte Carlo MCMC Stochastic Search Superoptimization SMT
2016/5/24
We formulate the loop-free binary superoptimization task as a stochastic search problem. The competing constraints of transformation correctness and performance improvement are encoded as terms in a c...
Stochastic Optimization of Floating Point Programs with Tunable Precision
64-bit x86 x86-64, Binary Markov Chain Monte Carlo MCMC Stochastic Search SMT Floating-Point Precision
2016/5/24
The aggressive optimization of floating-point computations is an important problem in high-performance computing. Unfortunately,floating-point instruction sets have complicated semantics that often fo...
The optimization of short sequences of loop-free, fixed-point assembly code sequences is an important problem in highperformance computing. However, the competing constraints of transformation correct...
High Dimensional Stochastic Regression with Latent Factors, Endogeneity and Nonlinearity
α-mixing dimension reduction instrument variables nonstationarity time series
2016/1/26
We consider a multivariate time series model which represents a high dimensional vector process as a sum of three terms: a linear regression of some observed regressors, a linear com-bination of some ...
High dimensional stochastic regression with latent factors, endogeneity and nonlinearity
α-mixing dimension reduction instrument variables nonstationarity time series
2016/1/25
We consider a multivariate time series model which represents a high dimensional vector process as a sum of three terms: a linear regression of some observed regressors,a linear combination of some la...
Bessel Processes, Stochastic Volatility, and Timer Options
Bessel Processes Stochastic Volatility Timer Options
2016/1/25
Motivated by analytical valuation of timer options (an important innovation in realized variance based derivatives), we explore their novel mathematical connection with stochastic volatility and Besse...
Stochastic Combinatorial Optimization via Poisson Approximation
Stochastic Knapsack Stochastic Bin Packing Expected Util- ity Maximization
2016/1/23
We study several stochastic combinatorial problems, includ-ing the expected utility maximization problem, the stochas-tic knapsack problem and the stochastic bin packing prob-lem. A common technical c...