Results 221 to 230 of about 140,708 (245)
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Cognitive Science, 2010
AbstractThis paper presents recent research that provides an overarching model of exemplar theory capable of explaining phenomena across the phonetic and syntactic strata. The model represents a unique exemplar‐based account of constituency interactions encompassing both linguistic domains.
Michael, Walsh +3 more
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AbstractThis paper presents recent research that provides an overarching model of exemplar theory capable of explaining phenomena across the phonetic and syntactic strata. The model represents a unique exemplar‐based account of constituency interactions encompassing both linguistic domains.
Michael, Walsh +3 more
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Journal of Cybernetics, 1973
Von Neumann and Morgenstern [1] were the first to use modern mathematics for constructing a fairly complete theory describing conflict-type situations. This led to a new and still rapidly developing branch of mathematics, namely the theory of games. In a conflict situation we have the participation of several active sides with different interests, able
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Von Neumann and Morgenstern [1] were the first to use modern mathematics for constructing a fairly complete theory describing conflict-type situations. This led to a new and still rapidly developing branch of mathematics, namely the theory of games. In a conflict situation we have the participation of several active sides with different interests, able
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British Journal of Mathematical and Statistical Psychology, 2006
A general framework for the exploratory component analysis of multilevel data (MLCA) is proposed. In this framework, a separate component model is specified for each group of objects at a certain level. The similarities between the groups of objects at a given level can be expressed by imposing constraints on component models of the groups using the ...
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A general framework for the exploratory component analysis of multilevel data (MLCA) is proposed. In this framework, a separate component model is specified for each group of objects at a certain level. The similarities between the groups of objects at a given level can be expressed by imposing constraints on component models of the groups using the ...
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Multilevel Hierarchical Matrices
SIAM Journal on Matrix Analysis and Applications, 2006This paper deals with a multilevel construction of hierarchical matrix approximations to the inverses of finite element stiffness matrices. Given a sequence of discretizations Aℓxℓ = f ℓ, ℓ = 0,..., n, where A0x0 = f 0 denotes the coarse grid problem, we will compute A0-1 exactly and then use interpolation to obtain an H-matrix approximation Aℓ+1-H ...
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Multilevel Cervical Spondylosis
Neurosurgery Clinics of North America, 2006Multilevel cervical spondylosis is a common disorder encountered by most actively practicing spine surgeons. Patients can present with a combination of complaints, including mechanical neck pain, radiculopathy, and myelopathy. A comprehensive evaluation is required for appropriate diagnosis and treatment.
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Multilevel Mixture Factor Models
Multivariate Behavioral Research, 2012Factor analysis is a statistical method for describing the associations among sets of observed variables in terms of a small number of underlying continuous latent variables. Various authors have proposed multilevel extensions of the factor model for the analysis of data sets with a hierarchical structure.
Varriale R., Vermunt J. K.
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Multilevel Materials for Multilevel Learners
2014The presence of learner diversity is inevitable in any language classroom. Not only do our learners differ in their ages, interests, learning styles, goals, and motivation, but their levels of proficiency may also vary. In everyday teaching, practitioners are constantly faced with the problems of finding the right materials for all their learners.
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Multilevel Models for Multilevel Network Dependencies
2015We explain how a type of multilevel model called a Multiple Membership Multiple Classification (MMMC) model can be used to investigate multilevel network dependencies for a nodal dependent variable at the lowest level of such a structure. In particular, the MMMC model allows us to estimate the relative share of variation in the dependent variable ...
Tranmer, Mark, Lazega, Emmanuel
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Multilevel Functional Clustering Analysis
Biometrics, 2012Summary In this article, we investigate clustering methods for multilevel functional data, which consist of repeated random functions observed for a large number of units (e.g., genes) at multiple subunits (e.g., bacteria types). To describe the within‐ and between variability induced by the hierarchical structure in the data, we take a multilevel ...
Serban, Nicoleta, Jiang, Huijing
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International Journal of Injury Control and Safety Promotion, 2012
Many of the commonly used methods in statistics assume that the data come from a random sample taken from a population of interest.
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Many of the commonly used methods in statistics assume that the data come from a random sample taken from a population of interest.
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