Results 21 to 30 of about 65,964 (245)
CLME: An R Package for Linear Mixed Effects Models under Inequality Constraints
Journal of Statistical Software, 2016 In many applications researchers are typically interested in testing for inequality constraints in the context of linear fixed effects and mixed effects models.
Casey M. Jelsema, Shyamal D. Peddada
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Computational inference of neural information flow networks. [PDF]
PLoS Computational Biology, 2006 Determining how information flows along anatomical brain pathways is a fundamental requirement for understanding how animals perceive their environments, learn, and behave.
V Anne Smith +4 more
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IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2023 An adaptive structural learning method of restricted Boltzmann machine (RBM) and deep belief network (DBN) has been developed as one of prominent deep learning models.
Shin Kamada, Takumi Ichimura
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Active Vision for Robot Manipulators Using the Free Energy Principle
Frontiers in Neurorobotics, 2021 Occlusions, restricted field of view and limited resolution all constrain a robot's ability to sense its environment from a single observation. In these cases, the robot first needs to actively query multiple observations and accumulate information ...
Toon Van de Maele +4 more
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A Generalized Order-restricted Inference Methodology for Selecting and Clustering Genes
MATEC Web of Conferences, 2016 There are many methods for selecting and clustering genes according to their time-course or dose-response profiles. These methods all necessitate the assumption of a constant variance through time or among dosages.
Liu Rui Yin
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Mathematics, 2020 Complex fuzzy theory has strong practical background in many important applications, especially in decision-making support systems. Recently, the Mamdani Complex Fuzzy Inference System (M-CFIS) has been introduced as an effective tool for handling events
Tran Manh Tuan +6 more
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BMC Bioinformatics, 2009 Background Time-course microarray experiments produce vector gene expression profiles across a series of time points. Clustering genes based on these profiles is important in discovering functional related and co-regulated genes.
Zhang Baoxue +3 more
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Three-Dimensional Imaging Method for Array ISAR Based on Sparse Bayesian Inference
Sensors, 2018 The problem of synthesis scatterers in inverse synthetic aperture radar (ISAR) make it difficult to realize high-resolution three-dimensional (3D) imaging.
Zekun Jiao +3 more
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Bayesian Inferences in the Cox Model for Order‐Restricted Hypotheses
Biometrics, 2003 Summary. In studying the relationship between an ordered categorical predictor and an event time, it is standard practice to include dichotomous indicators of the different levels of the predictor in a Cox model. One can then use a multiple degree‐of‐freedom score or partial likelihood ratio test for hypothesis testing.
Dunson, David B., Herring, Amy H.
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Ecology and Evolution, 2021 Inferring the selective forces that orthologous genes underwent across different lineages can help us understand the evolutionary processes that have shaped their extant diversity and the phenotypes they underlie.
Giobbe Forni +3 more
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