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Academy of Mathematics and Systems Science, CAS Colloquia & Seminars：Solving hidden number problem with lattice sieving
晶格筛分 隐数问题 格约简算法
2023/4/28
Lattice reduction algorithms have been proved to be one of the most powerful and versatile tools in public key cryptanalysis. In this talk, we primarily concentrate on lattice attacks against (EC)DSA ...
HIDDEN MARKOV PROCESSES IN THE CONTEXT OF SYMBOLIC DYNAMICS
HIDDEN MARKOV PROCESSES SYMBOLIC DYNAMICS
2015/9/29
In an effort to aid communication among different fields and perhaps facilitate progress on problems common toall of them, this article discusses hidden Markov processes from several viewpoints, espec...
Sampling and Estimation in Hidden Populations Using Respondent-Driven Sampling
Hidden Population Sampling
2015/9/11
Sampling and Estimation in Hidden Populations Using Respondent-Driven Sampling。
Estimating Hidden Population Size using Respondent-Driven Sampling Data
Respondent-Driven Sampling Data Estimating Hidden Population Size
2012/11/23
Respondent-Driven Sampling (RDS) is an approach to sampling design and inference in hard-to-reach human populations. Typically, a sampling frame is not available, and population members are difficult ...
Optimal Weighting of Multi-View Data with Low Dimensional Hidden States
Low Dimensional Hidden States Optimal Weighting Multi-View Data
2012/11/23
In Natural Language Processing (NLP) tasks, data often has the following two properties: First, data can be chopped into multi-views which has been successfully used for dimension reduction purposes. ...
Marginal Likelihood Computation for Hidden Markov Models via Generalized Two-Filter Smoothing
MarginalLikelihood Sequential MonteCarlo Generalized Two-Filter Smoothing
2012/11/21
In this note we introduce an estimate for the marginal likelihood associated to hidden Markov models (HMMs) using sequential Monte Carlo (SMC) approximations of the generalized two-filter smoothing de...
Nonparametric estimation in hidden Markov models
Nonparametric estimation hidden Markov models
2012/11/22
This paper outlines a new procedure to perform nonparametric estimation in hidden Markov models. It is assumed that a Markov chain (Xk) is observed only through a process (Yk), where Yk is a noisy obs...
Binary hidden Markov models and varieties
Binary hidden Markov models varieties Algebraic Geometry
2012/6/19
The technological applications of hidden Markov models have been extremely diverse and successful, including natural language processing, gesture recognition, gene sequencing, and Kalman filtering of ...
Hidden Hodge symmetries and Hodge correlators
Hidden Hodge symmetries Hodge correlators Algebraic Geometry
2011/9/22
Abstract: The Hodge Galois group is the Tannakian Galois group of the category of real mixed Hodge structures. It has a subgroup, called the twistor Galois group, which is the Galois group of the cate...
A context dependent pair hidden Markov model for statistical alignment
Comparative genomics Contextual alignment DNA sequence alignment EM algorithm Insertion deletion model
2011/9/6
Abstract: This article proposes a novel approach to statistical alignment of nucleotide sequences by introducing a context dependent structure on the substitution process in the underlying evolutionar...
Joint Extremal Behavior of Hidden and Observable Time Series
tail chain time series joint extremal behavior ARCH
2011/8/24
Abstract: We analyze the joint extremal behavior of two real-valued processes (X_t) and (Y_t) which can be interpreted as an observable and an unobservable time series. Our analysis is motivated by th...
Predicted charged charmonium-like structures in the hidden-charm dipion decay of higher charmonia
charmonium-like structures hidden-charm dipion decay higher charmonia
2011/7/21
In this work, we predict two charged charmonium-like structures close to the $D^\ast\bar{D}$ and $D^\ast\bar{D}^\ast$ thresholds, where the Initial Single Pion Emission mechanism is introduced in the ...
Dynamic risk measuring under model uncertainty: taking advantage of the hidden probability measure
Dynamic risk model uncertainty hidden probability measure
2011/2/28
We study dynamic risk measures in a very general framework enabling to model uncertainty and processes with jumps. We previously showed the existence of a canonical equivalence class of probability me...
We show that, for supersingular prime p, the image of a unique meromorphic function Gp on X0(p) (of the degree two, with the polar divisor {[0]0, [1]0}) under a certain Hecke operator is equal to j( )...
Entropy Rate for Hidden Markov Chains with rare transitions
Entropy Rate for Hidden Markov Chains rare transitions
2011/1/20
We consider Hidden Markov Chains obtained by passing a Markov Chain with rare transitions through a noisy memoryless channel. We obtain asymptotic estimates for the entropy of the resulting Hidden Mar...