probabilistic model
A probabilistic model of RNA conformational space.
... a probabilistic model of RNA structure that allows efficient sampling of RNA conformations in continuous space, and with associated ...the model captures several key features of RNA structure, such ...
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A hierarchical probabilistic model for rapid object categorization in natural scenes.
... leading model) feature space and often categorize objects in natural scenes by categorizing the context that co-occurs with objects when objects do not occupy large portions of the ...hierarchical ...
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Chiefly Symmetric: Results on the Scalability of Probabilistic Model Checking for Operating-System Code
... our model is highly symmetrical, symmetry reduction techniques allow the analysis to be carried out on a potentially much smaller quotient model instead of the full ...our model and to gain further ...
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Average Monthly Appraisal of Inventory Management Policy Using the Probabilistic Model
... the Probabilistic Model. Probabilistic model is a statistical analysis tool that estimates, on the basis of past (historical) data, the probability of an event occurring ...probability ...
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Alignment and prediction of cis-regulatory modules based on a probabilistic model of evolution.
... a model of CRM evolution that captures different modes of evolution of functional transcription factor binding sites (TFBSs) and the background ...a probabilistic model of gains and losses of TFBSs, ...
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A probabilistic model of chronological errors in layer-counted climate proxies: applications to annually banded coral archives
... Fourth, we assumed that all records considered had annual resolution, while in reality it could range from a month to several years. Adapting the method to a network of variable resolution would require the conditioning ...
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Reward optimization in the primate brain: a probabilistic model of decision making under uncertainty.
... how probabilistic representations of hidden state are employed in action selection based on ...a model that combines a traditional decision making model with reinforcement learning [9] (see also ...
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The Good, the Bad, and the Tiny: A Simple, Mechanistic-Probabilistic Model of Virus-Nutrient Colimitation in Microbes.
... this model does suggest that this selection pressure can be felt at the individual scale, bridging the gap with previously suggested population-scale selection ...these model implications are difficult to ...
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Conclusion of a probabilistic model to evaluate motorcars recycling and dismantling process in a scarce oil environment
... the model to be presented, through the use of infinite servers queues, it is considered that too many motorcars will become idle if conventional energy misses or even when conventional energy becomes replaced by a ...
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Verification of vehicular networks using probabilistic model checking
... with the network software to allow feedback from communication to vehicular traffic behavior. Another technique is to use a software to do the interface among established Network and Mobility simulator. In this context, ...
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Model Checking the Biological Model of Membrane Computing with Probabilistic Symbolic Model Checker by Using Two Biological Systems
... the model to check if the specification is fulfilled or ...of model checking for the analysis of biological models has attracted much ...LTL model checking (Barnat et al., 2009); Performing ...
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Probabilistic and Hybrid Model Checking Deployments for Wireless Sensor Networks
... approximate probabilistic model checker that utilizes client/server architecture to build and validate a ...the model along with its parameters via modified form of RM (Reactive Modules) ...the ...
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Probabilistic Perception Revision in AgentSpeak(L)
... the probabilistic model and the symbolic ...or Probabilistic Logic Programming (PLP) for example, could, in principle, simplify the semantic study of agent behavior and formal verification of agent ...
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Probabilistic Characterization of Epoxi Adhesives
... The tensile tests give important information about failure parameters, suitable to be used as generalized parameters in the generalized local model. Out of the possibilities (stress, strain, energy released, ...
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An Advanced Certain Trust Model Using Fuzzy Logic and Probabilistic Logic theory
... For the first one, a relationship between trust and evidence is needed. For this, they had chosen a Bayesian approach. It is because it provides means for deriving a subjective probability from collected evidence and ...
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FITTING METHODS AND SELECTION PROCEDURES OF PROBABILISTIC FUNCTIONS TO MODEL THE DIAMETER DISTRIBUTION IN A NATIVE ARAUCARIA FOREST
... Moments and Maximum Likelihood methods for Beta and Percentiles and Maximum Likelihood for Weibull 2 and 3 Parameters. The Nonlinear Programming was used as an attempt to improve the fittings, except for Meyer ...
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PROBABILISTIC ARGUMENTS FOR THE EXISTENCE OF GOD
... Constraints of time however mean that all that I can hope to do in this lecture is to show the force of arguments from the first four phenomena listed above: the existence of a physica[r] ...
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The probabilistic niche model reveals the niche structure and role of body size in a complex food web.
... niche model has been applied. To date, the niche model has usually been employed using what might be called a forward modelling approach: (i) the model structure is assigned; (ii) species are ...
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Técnicas de Probabilistic Constellation Shaping para sistemas 400G
... Falando agora da evolu¸ c˜ ao do Probabilistic Constellation Shaping, ´ e de real¸ car que, primei- ramente, foi usado o Geometric Constellation Shaping. Neste tipo de modula¸c˜ ao, procurava-se redistribuir os ...
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Probabilistic clustering of interval data
... the model-based method, which appears more natural. In particular, the model- based method separates cold Alaska from warm Pacific-Islands and Puerto- Rico, which is not the case for the Ward ...properly ...
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