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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Multiclass Sparse Discriminant Analysis Incorporating Graphical Structure among Predictors
预测变量 图形结构 多类稀疏 判别分析
2023/5/9
In the era of big data, many sparse linear discriminant analysis methods have been proposed for the classification and variable selection of the high-dimensional data. In order to solve the multiclass...
经济学科在读博士生周玮论文于国际一类期刊Journal of Computational and Graphical Statistics在线发表（图）
厦门大学王亚南经济研究院 周玮 统计学国际权威期刊 有向无环图 统计学习算法 文本数据挖掘
2022/5/17
近日，由王亚南经济研究院统计学专业2018级博士生周玮与其导师钟威教授，以及联合导师香港城市大学王军辉教授、上海财经大学贺莘副教授合作完成的题为 “Efficient Learning of Quadratic Variance Function Directed Acyclic Graphs via Topological Layers”的论文在线发表于统计学国际权威期刊Journal of C...
A Systematic Study of the Impact of Graphical Models on Inference-based Attacks on AES
Belief Propagation Factor Graphs AES
2018/7/16
We define a novel metric to capture the importance of variable nodes in factor graphs, we propose two improvements to the sum-product algorithm for the specific use case in side channel analysis, and ...
第四届国际安全图形模型研讨会（The Fourth International Workshop on Graphical Models for Security）
第四届 国际安全图形模型 研讨会
2017/3/30
Graphical security models provide an intuitive but systematic approach to analyze security weaknesses of systems and to evaluate potential protection measures. Cyber security researchers, as well as s...
An Adynamical,Graphical Approach to Quantum Gravity and Unification
quantum gravity unification lattice gauge theory Regge calculus path integral graphs
2016/6/15
We propose an adynamical, background independent approach to quantum gravity and unification whereby the fundamental elements of Nature are graphical units of space, time and sources (in parlance of q...
Sizing the Horizon: The Effects of Chart Size and Layering on the Graphical Perception of Time Series Visualizations
Visualization graphical perception time series line charts, horizon graphs
2016/5/24
We investigate techniques for visualizing time series data
and evaluate their effect in value comparison tasks. We
compare line charts with horizon graphs—a space-efficient
time series visualizatio...
Graphical Histories for Visualization: Supporting Analysis, Communication, and Evaluation
Visualization history undo analysis presentation evaluation
2016/5/24
Interactive history tools, ranging from basic undo and redo to branching timelines of user actions, facilitate iterative
forms of interaction. In this paper, we investigate the design of history mech...
Graphical Overlays: Using Layered Elements to Aid Chart Reading
Visualization overlays graphical perception graph comprehension
2016/5/24
Reading a visualization can involve a number of tasks such as extracting, comparing or aggregating numerical values. Yet, most of
the charts that are published in newspapers, reports, books, and on t...
Which graphical models are difficult to learn?
Ising model binary markov random field markov random
2015/8/21
We consider the problem of learning the structure of Ising models (pairwise binary Markov random fields) from i.i.d. samples. While several methods have been proposed to accomplish this task, their re...
The graphical lasso:New insights and alternatives
Graphical lasso sparse inverse covariance selection precision matrix convex analysis/optimization positive definite matrices sparsity semidefinite programming
2015/8/21
The graphical lasso [5] is an algorithm for learning the structure in an undirected Gaussian graphical model, using ℓ1 regularization to control the number of zeros in the precision matrix Θ = Σ...
Applications of the lasso and grouped lasso to the estimation of sparse graphical models
lasso and grouped lasso sparse graphical models
2015/8/21
We propose several methods for estimating edge-sparse and nodesparse graphical models based on lasso and grouped lasso penalties.We develop efficient algorithms for fitting these models when the numbe...
Exact Covariance Thresholding into Connected Components for Large-Scale Graphical Lasso
sparse inverse covariance selection sparsity graphical lasso Gaussian graphical models graph connected components concentration graph large scale covariance estimation
2015/8/21
We consider the sparse inverse covariance regularization problem or graphical lasso with regularization parameter λ. Suppose the sample covariance graph formed by thresholding the entries of the sampl...
Learning the Structure of Mixed Graphical Models
Learning the Structure Mixed Graphical Models
2015/8/21
We consider the problem of learning the structure of a pairwise graphical model over continuous and discrete variables. We present a new pairwise model for graphical models with both continuous and di...
Graphical Models Concepts in Compressed Sensing
Creative graphics model transfer the algorithm the compressed sensing the analysis of high-dimensional lasso risk limits
2015/8/20
This paper surveys recent work in applying ideas from graphical models and message passing algorithms to solve large scale regularized regression problems. In particular, the focus is on compressed se...
Robust control tools: graphical user-interfaces and LMI algorithms
Robust control graphics LMI algorithm control and numerical value the control design tools
2015/8/12
Gives some vague ideas about useful control design tools that might be based on LMI algorithms.