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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Dynamic Learning and Modelling of Nonlinear Spatio-Temporal Network Data: theory with an application to the EU energy markets
非线性 时空网络数据 动态学习 建模
2023/4/28
Nonlinear modelling of dynamic spatio-temporal network data is often a challenge with various issues, in particular due to irregularly observed locations and location-wide non-stationarity. In this pa...
8th International Conference on Fuzzy Computation Theory and Applications
Integrated Maintenance Modeling Optimization in Manufacturing Systems
2016/7/19
Fuzzy computation is a field that encompasses the theory and application of fuzzy sets and fuzzy logic to the solution of information processing, systems analysis and synthesis problems. Bolstered by ...
KG simplify Sender’s problem by making
two observations. First, it is possible to express
Sender’s payoff as a value function over the posterior belief induced by the signal realization.
“It is most flattering and gratifying for a nonpharmacologist, nonbiologist,nonchemist, and nonstatistician, who is at the same time a non-know-how kind of theoretician, to have his paper become a‘Cit...
B> Y 1932 feedback systems were used extensively in applications such as power generation and transmission, steering of ships, autopilots for aircrafts, and process control; see [2] and [3]. Theoretic...
Realizable Rate Distortion Function and Bayesian FIltering Theory
Realizable Rate Distortion Function Bayesian FIltering Theory Information Theory
2012/4/16
The relation between rate distortion function (RDF) and Bayesian filtering theory is discussed. The relation is established by imposing a causal or realizability constraint on the reconstruction condi...
Mathematical Programming Decoding of Binary Linear Codes: Theory and Algorithm
Integer programming LP decoding Mathematical programming ML decoding Polyhedral theory
2011/9/14
Abstract: Mathematical programming is a branch of applied mathematics and has recently been used to derive new decoding approaches, challenging established but often heuristic algorithms based on iter...
An Introductory Review of Information Theory in the Context of Computational Neuroscience
Introductory Review of Information Theory the Context of Computational Neuroscience Information Theory
2011/9/9
Abstract: This paper introduces several fundamental concepts in information theory from the perspective of their origins in engineering. Understanding such concepts is important in neuroscience for tw...
Diverse Applications of Algorithmic Probability Theory
Algorithmic Probability Theory Diverse Applications Information Theory
2011/9/6
Abstract: We reminisce and discuss applications of Algorithmic Probability Theory to a wide range of problems in Artificial Intelligence, philosophy and technological society. We argue that Solomonoff...
The Monty Hall Problem in the Game Theory Class
The Monty Hall Problem the Game Theory Class
2011/8/23
Abstract: The basic Monty Hall problem is explored to introduce into the fundamental concepts of the game theory and to give a complete Bayesian and a (noncooperative) game-theoretic analysis of the s...
The use of ideas of Information Theory for studying
Information Theory intelligence language
2010/4/7
In this review we integrate results of long term experimental study on ant "language" and intelligence which were fully based on fundamental ideas of Information Theory, such as the Shannon entropy, t...
Projection-Pursuit Based Principal Component Analysis: a Large Sample Theory
Dispersion matrices eigenvalues and eigenvectors empirical processes principal component analysis projection pursuit (PP)
2007/12/10
摘要 The principal component analysis (PCA) is one of the most celebrated methods in analysing multivariate data. An effort of extending PCA is projection pursuit (PP), a more general class of dimension...
THE SOLUTION OF A PARAMETERIC EQUATION ARISING IN TRANSPORT THEORY
Transport equation δ-eigenvalue compa
2007/8/7
This paper deals with the solution of a neutron transport equation with parameter δ. Using the theory of functional analysis, we discuss the distribution of the parameters which make the equationhave ...
In this paper, the necessary and sufficient conditions for a function of the parameterin a one-parameter natural exponential family(NEF) to have an unbiased estimator with finite variance are obtained...