搜索结果: 1-15 共查到“信息科学与系统科学 t-J models”相关记录26条 . 查询时间(0.14 秒)
Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Robust Generalization Requires Exponentially Large Models
鲁棒泛化 指数级大 模型
2023/5/15
It is well-known that modern neural networks are vulnerable to adversarial examples. To mitigate this problem, a series of robust learning algorithms have been proposed. However, although the robust t...
THE VALUE OF KNOWLEDGE THROUGH H-BIM MODELS: HISTORIC DOCUMENTATION WITH A SEMANTIC APPROACH
3D Modelling Data Modeling HBIM Paradata Documentation CIDOC-CRM
2019/3/4
The Building Information Modeling (BIM) in the Architectural Heritage field is constantly proving to be a fertile ground for the experimentation of innovative systems for the enhancement and managemen...
Computing optimal uncertainty models from frequency domain data
Uncertainty model robust control multivariate nonparametric linear matrix inequality the noise
2015/8/11
Uncertainty models are an essential ingredient in robust control design. In addition, because of the tradeoff between uncertainty and performance, the uncertainty model should be as ‘tight’ as possibl...
KEY TECHNOLOGY RESEARCH ON OPEN ARCHITECTURE FOR THE SHARING OF HETEROGENEOUS GEOGRAPHIC ANALYSIS MODELS
Geographic Analysis Mode Resource Sharing Distributed Computing
2014/4/21
In recent years, the increasing development of cloud computing technologies laid critical foundation for efficiently solving
complicated geographic issues. However, it is still difficult to realize ...
Permutation Complexity and Coupling Measures in Hidden Markov Models
Permutation Complexity Coupling Measures Hidden Markov Models Chaotic Dynamics
2012/4/26
In [Haruna, T. and Nakajima, K., 2011. Physica D 240, 1370-1377], the authors introduced the duality between values (words) and orderings (permutations) as a basis to discuss the relationship between ...
Attack Detection and Identification in Cyber-Physical Systems -- Part I: Models and Fundamental Limitations
Attack Detection Identification Cyber-Physical Systems Models Fundamental Limitations
2012/2/29
Cyber-physical systems integrate computation, communication, and physical capabilities to interact with the physical world and humans. Besides failures of components, cyber-physical systems are prone ...
Finding Non-overlapping Clusters for Generalized Inference Over Graphical Models
Graphical Models Markov Random Fields Belief Propagation Loopy Belief Propagation Generalized Belief Propagation Block-Trees Block-Graphs
2011/10/9
Abstract: Graphical models compactly capture stochastic dependencies amongst a collection of random variables using a graph. Inference over graphical models corresponds to finding marginal probability...
Interference Focusing for Simplified Optical Fiber Models with Dispersion
Simplified Optical Fiber Models Dispersion Information Theory
2011/9/1
Abstract: A discrete-time two-user interference channel model is developed that captures non-linear phenomena that arise in optical fiber communication employing wavelength-division multiplexing (WDM)...
Application of Predictive Model Selection to Coupled Models
Predictive Model Selection Quantity of In-terest Model Validation Decision Making Bayesian Analysis
2011/9/29
Abstract: A predictive Bayesian model selection approach is presented to discriminate coupled models used to predict an unobserved quantity of interest (QoI). The need for accurate predictions arises ...
LIMIT THEOREMS AND OPTIMAL DESIGN WITH ADAPTIVE URN MODELS
Urn model sequential design strong conv
2007/8/7
In this paper we study urn model, using some availableestimates of successes probabilities, and adding particleparameter, we establish adaptive models. We obtain some strongconvergence theorems, rates...
In this paper, the asymptotic behavior of three types ofpopulation models with delays and diffusion is studied. The firstrepresents one species growth in the patch ${\it\Omega}$ andperiodic environmen...
In this paper, a necessary condition for the existence of any weakly consistent estimator is presented in exponential family nonlinear models. Then we give one more necessary condition for a consisten...
NONMRAMETRIC AND SEMIPARAMETRIC REGRESSION MODELS WITH LOCALLY GENERALIZED GAUSSIAN ERROR
Nonparametric semiparametric regression
2007/8/7
Under a locally generalized Gaussian error's structure, we obtain strong uniform consistency for nonparametric regression function estimators and strong consistency for parametric component estimators...
In this paper,the main emphasis of the proposed discussion is on the efficiency of estimation of fixed polynomial effects in mired models based on PBIB (partially balanced incomplete block) design. We...
For a general linear model, spherical distributions are often considered when errors do not have normal distribution. Several authors[1-3] studied the least squares and James-Stein estimations for a l...