projection models
Integral projection models for species with complex demography
... Matrix projection models are probably the most com- monly used approach for modeling structured biological populations (Caswell 2001) and play a central role in pop- ulation and conservation biology ...
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Are models useful? Reflections on simple epidemic projection models and the Covid-19 pandemic
... statistical models, which hinge on an exogenously driven growth rate of the infected ...epidemic projection models may be useful despite being ...
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Building Integral Projection Models: a User's Guide.
... regression models, and the use of GAM and kernel esti- mators which allow very flexible descriptions of the mean and distribution of residuals about the fitted demographic models, ...
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Towards robust evolutionary inference with integral projection models
... 22 Observed size model implemented into IPMs 23 Similarly to the true underlying model, we set the variance-covariance matrix with variances in growth and 24 the matrix with the path coe[r] ...
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A comparative study of parametric mortality projection models
... The relative merits of different parametric models for making life expectancy and annuity value predictions at both pensioner and adult ages are investigated. This study builds on current published research and ...
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Integral projection models for species with complex demography
... We now show that the main results about sensitivity and elasticity for matrix models extend to the integral model. In the physics literature, the sensitivity formula (C10) is well enough known to be used without a ...
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Integral projection models for species with complex demography
... matrix models, this requires additional assumptions because R does not necessarily satisfy the assumptions for stable population growth when T p P ⫹ F does (Cushing and Yicang ...
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Transductive Non linear Learning for Chinese Hypernym Prediction
... linear projection model (denoted as S in Table 2) and piecewise projection models ...multiple projection models, with a slight improvement in ...iterative projection ...
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Evolution of flowering strategies in Oenothera glazioviana: an integral projection model approach
... integral projection models of size-related owering for the monocarpic perennial Oenothera glazioviana and use these to predict the evolutionarily stable strategy (ESS) for ...
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Models for projecting supply and demand for nurses in Israel
... demand projection models up to 2030. All of the models indicate that the projected shortage will be significantly affected by the age at which the nurses ...retire. Models based on a fixed ...
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Open event extraction from online text using a generative adversarial network
... the projection function between the document-event distribution and four event related word distributions (entity distribution, location distribution, keyword distri- bution and date ...
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Markovian projection to a Displaced Volatility Heston model
... Markovian Projection is an optimal approximation of a complex underlying process with a simpler one, keeping essential properties of the initial ...Markovian Projection target, is an example ...Markovian ...
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Topical Coherence for Graph based Extractive Summarization
... one-mode projection on sentence nodes, com- pute the coherence of a document on the basis of the one-mode projections and use the coherence measure for summary coherence ...unweighted projection graph ...
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A Unified Formulation and Fast Accelerated Proximal Gradient Method for Classification
... classification models generally employ different formulations and ...classification models and also to design a fast universal algorithmic framework for solving different ...
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Visual ageing of human faces in three dimensions using morphable models and projection to latent structures
... They used these models train a Support Vector Re- gression model. A new face model could be synthe- sized from a given set of parameters by ‘stepping’ through the curved SVR space using a fourth order Runge-Kutta ...
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Lattice Boltzmann Simulations in the Slip and Transition Flow Regime with the Peano Framework
... the wall. Similar issues can be encountered when using the BBSR boundary condition. In these cases, we also apply the standard bounce-back scheme to the relevant distribution functions. The bounce-back method typically ...
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Improving Neural Language Models with Weight Norm Initialization and Regularization
... Other works proposed to tie the embedding and projection matrices. Press and Wolf (2017) inves- tigated the effects of weight tying, analyzed up- date rules after tying and showed that tied matri- ces evolve in a ...
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Optimized Projection for Hashing
... initial projection will limit the following adjustment step and the two- step strategy leads to sub-optimal ...initial projection so we can observe it significantly outperforms ...
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Maritime Cyberpower Projection
... This paper has introduced the concept of the maritime cyber environment by bringing together the individual attributes of both elements to highlight their importance and mutual dependence. Understanding the maritime ...
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Sliding Window Generalized Kernel Affine Projection Algorithm Using Projection Mappings
... This paper presents a sparsification method to the online classification task, based on a sequence of linear subspaces and combined with the convex analytic approach of the adaptive projected subgradient method (APSM). ...
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