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Estimating the sample mean and standard deviation from the sample size, median, range and/or interquartile range
TLDR
This work proposes a new estimation method by incorporating the sample size that greatly improves existing methods and provides a nearly unbiased estimate of the true sample standard deviation for normal data and a slightly biased estimate for skewed data. Expand
Social Collaborative Filtering by Trust
TLDR
A model-based method that adopts matrix factorization technique that maps users into low-dimensional latent feature spaces in terms of their trust relationship, and aims to more accurately reflect the users reciprocal influence on the formation of their own opinions and to learn better preferential patterns of users for high-quality recommendations. Expand
Community Mining from Signed Social Networks
TLDR
A new algorithm, called FEC, is proposed to mine signed social networks where both positive within- group relations and negative between-group relations are dense, and depends on only one parameter whose value can easily be set and requires no prior knowledge on hidden community structures. Expand
Multi-agent oriented constraint satisfaction
TLDR
This paper presents a multi-agent oriented method for solving CSPs (Constraint Satisfaction Problems), and examines the performance of this method in deriving solutions based on behavior prioritization and different selection probabilities. Expand
Piecewise-constant and low-rank approximation for identification of recurrent copy number variations
TLDR
The experimental results show that PLA can successfully reconstruct the recurrent CNV patterns from raw data and achieve better performance compared with alternative methods under a wide range of scenarios. Expand
Optimally estimating the sample mean from the sample size, median, mid-range, and/or mid-quartile range
TLDR
This article investigates the optimal estimation of the sample mean for meta-analysis from both theoretical and empirical perspectives and proposes estimators capable to serve as “rules of thumb” and will be widely applied in evidence-based medicine. Expand
On bilevel programming, Part I: General nonlinear cases
TLDR
The theoretical analysis conducted in this paper seems to indicate that a sensitivity-based approach is rather promising for solving general nonlinear BLPP. Expand
Sensitivity Analysis in Nonlinear Programs and Variational Inequalities via Continuous Selections
Sufficient conditions for solution Lipschitz continuity, piecewise differentiability, and directional differentiability are presented for parametric nonlinear programs and variational inequalitiesExpand
An evolutionary autonomous agents approach to image feature extraction
TLDR
The fitness of a parent agent is defined according to the steps that the agent takes to locate an image feature pixel, and the directions in which the agents self-reproduce and/or diffuse are inherited from the directions of their selected high-fitness parents. Expand
Agent-based, energy efficient routing in sensor networks
TLDR
Simulation results demonstrate that routing schemes based on the proposed idea can achieve a better performance of energy load balancing in the network, and a shorter time delay for data agents to travel from a source to a sink than other schemes discussed in the paper. Expand
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