Search Results - "constraint-based algorithms"

Learning Bayesian Networks with the bnlearn R Package by Scutari, Marco

“…bnlearn is an R package (R Development Core Team 2010) which includes several algorithms for learning the structure of Bayesian networks with either discrete…”
Get full text

Feature Selection with the R Package MXM : Discovering Statistically Equivalent Feature Subsets by Lagani, Vincenzo, Athineou, Giorgos, Farcomeni, Alessio, Tsagris, Michail, Tsamardinos, Ioannis

“…The statistically equivalent signature (SES) algorithm is a method for feature selection inspired by the principles of constraint-based learning of Bayesian…”
Get full text

A Two-Stage Approach Combining Constraint-Based Algorithms and Gaussian Process Regression for Estimation of Cruise Ship Hotel Loads by Micallef, Alexander, Apap, Maurice, Licari, John, Caruana, Cedric

“… In the initial stage, a constraint-based algorithm was used that integrated criteria related to engine continuous rating, propulsion type, and power…”
Get full text

Deconstructing the energy landscape: Constraint-based algorithms for folding heteropolymers by Elser, Veit, Rankenburg, Ivan

“…We apply the computational methodology of phase retrieval to the problem of folding heteropolymers. The ground state fold of the polymer is defined by the…”
Get full text

Forward Constraint-Based Algorithms for Anytime Planning by Pralet, Cédric, Verfaillie, Gérard

“…This paper presents a generic anytime forward-search constraint-based algorithm for solving planning problems expressed in the CNT framework…”
Get full text

A constraint-based algorithm for causal discovery with cycles, latent variables and selection bias by Strobl, Eric V.

“…Causal processes in nature may contain cycles, and real datasets may violate causal sufficiency as well as contain selection bias. No constraint-based causal…”
Get full text

Gradient entropy metric and p-Laplace diffusion constraint-based algorithm for noisy multispectral image fusion by Zhao, Wenda, Xu, Zhijun, Zhao, Jian

“…[Display omitted] •Highly promising and applied noisy multispectral image fusion.•Adopting the matrix of structure tensor to fuse the gradient…”
Get full text

A Bayesian network perspective on neonatal pneumonia in pregnant women with diabetes mellitus by Lin, Yue, Chen, Jia Shen, Zhong, Ni, Zhang, Ao, Pan, Haiyan

“… Results In constraint-based algorithms, three…”
Get full text

CURATE: Scaling-Up Differentially Private Causal Graph Discovery by Bhattacharjee, Payel, Tandon, Ravi

“… CGD algorithms are broadly classified into two categories: (i) constraint-based algorithms, where the outcome depends on conditional independence (CI) tests, and (ii…”
Get full text

Improved K2 algorithm for Bayesian network structure learning by Behjati, Shahab, Beigy, Hamid

“…In this paper, we study the problem of learning the structure of Bayesian networks from data, which takes a dataset and outputs a directed acyclic graph. This…”
Get full text

Inferring large-scale gene regulatory networks using a low-order constraint-based algorithm by Wang, Mingyi, Augusto Benedito, Vagner, Xuechun Zhao, Patrick, Udvardi, Michael

“… To address this problem, we developed a low-order constraint-based algorithm for gene regulatory network inference…”
Get more information

sybil – Efficient constraint-based modelling in R by Gelius-Dietrich, Gabriel, Desouki, Abdelmoneim Amer, Fritzemeier, Claus Jonathan, Lercher, Martin J

“…Background Constraint-based analyses of metabolic networks are widely used to simulate the properties of genome-scale metabolic networks. Publicly available…”
Get full text

Integrated constraint based clustering algorithm for high dimensional data by Liu, Xinyue, Li, Menggang

“… However, these constraint based algorithms use constraints to help accomplish only one of the three essential tasks…”
Get full text

A Simple Constraint-Based Algorithm for Efficiently Mining Observational Databases for Causal Relationships by Cooper, Gregory F.

“…This paper presents a simple, efficient computer-based method for discovering causal relationships from databases that contain observational data…”
Get full text

Learning Moral Graphs in Construction of High-Dimensional Bayesian Networks for Mixed Data by Xu, Suwa, Jia, Bochao, Liang, Faming

“… The moral graph is a Markov network representation of the Bayesian network and also the key to construction of the Bayesian network for constraint-based algorithms…”
Get more information

A sports tournament scheduling problem: Exploiting constraint-based algorithm and neighborhood search for the solution by Ramli, Razamin, Soong, Cai-Juan, Ibrahim, Haslinda

“…The problem of sports tournament scheduling at a university sports event was the case being studied due to the inefficiency of previous schedules and the…”
Get full text

A new Temporal-Constraint-Based algorithm by handling temporal qualities for video enhancement by Jun Xie, Weiyao Lin, Hongxiang Li, Ning Xu, Hongyu Gao, Lining Zhang

“…Video enhancement has played very important roles in many applications. However, most existing enhancement methods only focus on the spatial quality within a…”
Get full text

Constraint-based Algorithm for Slab Sequencing Problem by Guo Dongfen, Ye Hongying

“… A constraint-based algorithm is proposed to solving this problem. During the solving procedure, domains of the variables are firstly preprocessed by using consistency technology to prune the search space…”
Get full text

RWKNN: A Modified WKNN Algorithm Specific for the Indoor Localization Problem by Chen, Guokai, Guo, Xiye, Liu, Kai, Li, Xiaoyu, Yang, Jun

“…This paper proposes a restricted weighted <inline-formula> <tex-math notation="LaTeX">{k} </tex-math></inline-formula>-nearest neighbor algorithm (RWKNN)…”
Get full text

Stable structure learning with HC-Stable and Tabu-Stable algorithms by Kitson, Neville K., Constantinou, Anthony C.

“… and constraint-based algorithms, including PC-Stable, suffer from the same issue. We propose a novel solution for score-based greedy hill-climbing that eliminates instability…”
Get full text