技术
发表于 2025-3-26 21:11:31
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固定某物
发表于 2025-3-27 02:10:39
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懒惰人民
发表于 2025-3-27 09:19:01
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我不怕牺牲
发表于 2025-3-27 12:08:35
Model Checking Constrained Markov Reward Models with Uncertaintieslysis are (i) probabilistic bisimilarity, and (ii) specifications expressed as probabilistic reward CTL formulae..We consider two extensions of the notion of MRM, namely (a) ., i.e., MRMs with rewards parametric on a set variables subject to some constraints, and (b) ., i.e., MRMs with rewards model
artless
发表于 2025-3-27 17:05:49
A Modest Approach to Modelling and Checking Markov Automata paper, we present extensions to the . language and the . model checker to describe and analyse Markov automata models. . is an expressive high-level language with roots in process algebra that allows large models to be specified in a succinct, modular way. We explain its use for Markov automata and
旧病复发
发表于 2025-3-27 18:58:40
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肉身
发表于 2025-3-28 01:12:34
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verdict
发表于 2025-3-28 02:12:58
Strategy Representation by Decision Trees with Linear Classifierssm. The class of .-regular winning conditions; e.g., safety, reachability, liveness, parity conditions; provides a robust and expressive specification formalism for properties that arise in analysis of reactive systems. The resolutions of nondeterminism in games and MDPs are represented as strategie
dapper
发表于 2025-3-28 10:18:22
Neural Network Precision Tunings specially important for neural networks used in embedded systems. Unfortunately, neural networks are very sensitive to the precision in which they have been trained and changing this precision generally degrades the quality of their answers. In this article, we introduce a new technique to tune th
Ingredient
发表于 2025-3-28 14:02:30
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