Results 41 to 50 of about 7,875,864 (298)
Frontiers in Artificial Intelligence, 2023 Modeling has actively tried to take the human out of the loop, originally for objectivity and recently also for automation. We argue that an unnecessary side effect has been that modeling workflows and machine learning pipelines have become restricted to only well-specified problems.
Mustafa Mert Çelikok +3 more
openaire +5 more sources
应用气象学报, 2023 The forecast of rain and snow phase is one of the difficulties in precipitation forecast, which is of great significance for disaster prevention and reduction.
Wang Lei +3 more
doaj +1 more source
Moving in the Dark: Enlightening the Spatial Population Ecology of European Cave Salamanders
Population Ecology, EarlyView.We assessed individual interactions, movement ecology and activity patterns of a subterranean population of Speleomantes strinatii, applying spatial capture–recapture modeling to a photographic dataset of 104 individuals. ABSTRACT Space use and movement are fundamental aspects of organisms' ecology, mirroring individual fitness, behavior, and life ...
Giacomo Rosa +2 more
wiley +1 more source
Model Risk of Risk Models [PDF]
SSRN Electronic Journal, 2014 This paper evaluates the model risk of models used for forecasting systemic and market risk. Model risk, which is the potential for different models to provide inconsistent outcomes, is shown to be increasing with and caused by market uncertainty. During calm periods, the underlying risk forecast models produce similar risk readings, hence, model risk ...
Danielsson, Jon +3 more
openaire +5 more sources
Infection Models for Pine Wilt Disease on the Basis of Vector Behaviors
Population Ecology, EarlyView.Infection models for pine wilt disease without vector density were built to estimate the transmission coefficient of the pathogenic nematode. The models successfully simulated the annual change in the density of infected trees for four pine stands. ABSTRACT Pine wilt disease is caused by the pinewood nematode (Bursaphelenchus xylophilus Steiner et ...
Katsumi Togashi
wiley +1 more source
Non-model model organisms [PDF]
BMC Biology, 2017 Model organisms are widely used in research as accessible and convenient systems to study a particular area or question in biology. Traditionally only a handful of organisms have been widely studied, but modern research tools are enabling researchers to extend the set of model organisms to include less-studied and more unusual systems.
Madeline A. Lancaster +20 more
openaire +6 more sources
Abstract and Applied Analysis, 2020 The linear complementarity problem is receiving a lot of attention and has been studied extensively. Recently, El foutayeni et al. have contributed many works that aim to solve this mysterious problem.
Yamna Achik +4 more
doaj +1 more source
FoxO1 signaling in B cell malignancies and its therapeutic targeting
FEBS Letters, EarlyView.FoxO1 has context‐specific tumor suppressor or oncogenic character in myeloid and B cell malignancies. This includes tumor‐promoting properties such as stemness maintenance and DNA damage tolerance in acute leukemias, or regulation of cell proliferation and survival, or migration in mature B cell malignancies.
Krystof Hlavac +3 more
wiley +1 more source
Nested Models and Model Uncertainty [PDF]
The Scandinavian Journal of Economics, 2015 AbstractUncertainty about the appropriate choice among nested models is a concern for optimal policy when policy prescriptions from those models differ. The standard procedure is to specify a prior over the parameter space, ignoring the special status of submodels (e.g., those resulting from zero restrictions).
Kriwoluzky, A., Stoltenberg, C.A.
openaire +8 more sources
Creation of the spacecraft’s command-and-measurement system’s heterogeneous simulation model
Космические аппараты и технологии, 2020 This article presents software tools designed for construction of heterogeneous models by software integration of logical models having their work methods set in the knowledge bases and engineering models created in a technical simulation environment. In
O. S. Isaeva +5 more
doaj +1 more source