Results 21 to 30 of about 266,150 (211)
Self-supervised self-supervision by combining deep learning and probabilistic logic [PDF]
AAAI Conference on Artificial Intelligence, 2020 Labeling training examples at scale is a perennial challenge in machine learning. Self-supervision methods compensate for the lack of direct supervision by leveraging prior knowledge to automatically generate noisy labeled examples.
Hunter Lang, Hoifung Poon
semanticscholar +1 more source
Ergodic sets as cell phenotype of budding yeast cell cycle. [PDF]
PLoS ONE, 2012 It has been suggested that irreducible sets of states in Probabilistic Boolean Networks correspond to cellular phenotype. In this study, we identify such sets of states for each phase of the budding yeast cell cycle.
Robert G Todd, Tomáš Helikar
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SoftwareX, 2022 The application of deep learning models to increasingly complex contexts has led to a rise in the complexity of the models themselves. Due to this, there is an increase in the number of hyper-parameters (HPs) to be set and Hyper-Parameter Optimization ...
Michele Fraccaroli +2 more
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Entity Resolution Based on Probabilistic Soft Logic Model [PDF]
Jisuanji gongcheng, 2017 As any closed atom adopts hard constraints in Entity Resolution(ER) algorithm based on Markov Logic Network(MLN),the reasoning and weight learning processes of the algorithm hardly converge to the optimal solution,which decreases the efficiency and ...
GONG Yunbao,GAN Liang,HUANG Jiuming
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On the Coherence of Probabilistic Relational Formalisms
Entropy, 2018 There are several formalisms that enhance Bayesian networks by including relations amongst individuals as modeling primitives. For instance, Probabilistic Relational Models (PRMs) use diagrams and relational databases to represent repetitive Bayesian ...
Glauber De Bona, Fabio G. Cozman
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PLoS ONE, 2021 A common way of illustrating phylogeographic results is through the use of haplotype networks. While these networks help to visualize relationships between individuals, populations, and species, evolutionary studies often only quantitatively analyze ...
Eric Garcia +8 more
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Model checking medium access control for sensor networks [PDF]
, 2006 We describe verification of S-MAC, a medium access control protocol designed for wireless sensor networks, by means of the PRISM model checker. The S-MAC protocol is built on top of the IEEE 802.11 standard for wireless ad hoc networks and, as such, it ...
Ballarini, P., Miller, A.
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Complexity, 2020 The goal of this research is to design an Artificial Intelligence controller for the active suspension system of vehicles. The Ring Probabilistic Logic Neural Network (RPLNN) architecture has been adopted to design the proposed controller, and the ...
Aydin Azizi
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Sequential circuit design in quantum-dot cellular automata [PDF]
, 2008 In this work we present a novel probabilistic modeling scheme for sequential circuit design in quantum-dot cellular automata(QCA) technology. Clocked QCA circuits possess an inherent direction for flow of information which can be effectively modeled ...
Bhanja, S. +2 more
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Pemodelan Sistem Fuzzy Dengan Menggunakan Matlab
ComTech, 2010 Fuzzy logic is a method in soft computing category, a method that could process uncertain, inaccurate, and less cost implemented data. Some methods in soft computing category besides fuzzy logic are artificial network nerve, probabilistic reasoning, and ...
Afan Galih Salman
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