Results 11 to 20 of about 439,127 (183)
Frontiers in Marine Science, 2021 Barrier-island systems, spanning ∼7% of the world’s coastlines, are of great importance to society because not only they provide attractive, liveable space for coastal communities but also act as the first line of defense from coastal storms.
Janaka Bamunawala +8 more
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A First Approach to Closeness Distributions
Mathematics, 2021 Probabilistic graphical models allow us to encode a large probability distribution as a composition of smaller ones. It is oftentimes the case that we are interested in incorporating in the model the idea that some of these smaller distributions are ...
Jesus Cerquides
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Probabilistic modeling for dynamic processes [PDF]
E3S Web of Conferences, 2020 The probability of event occurrence can be determined by calculation, however for complex processes, accounting for multiple states is so complex that the probability of the final event cannot be determined differently than by collecting statistical data.
Nesmiyan Andrey +3 more
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Perfect Density Models Cannot Guarantee Anomaly Detection
Entropy, 2021 Thanks to the tractability of their likelihood, several deep generative models show promise for seemingly straightforward but important applications like anomaly detection, uncertainty estimation, and active learning.
Charline Le Lan, Laurent Dinh
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Self-Supervised Variational Auto-Encoders
Entropy, 2021 Density estimation, compression, and data generation are crucial tasks in artificial intelligence. Variational Auto-Encoders (VAEs) constitute a single framework to achieve these goals.
Ioannis Gatopoulos, Jakub M. Tomczak
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Uncertainty modeling process for semantic technology [PDF]
PeerJ Computer Science, 2016 The ubiquity of uncertainty across application domains generates a need for principled support for uncertainty management in semantically aware systems. A probabilistic ontology provides constructs for representing uncertainty in domain ontologies. While
Rommel N. Carvalho +2 more
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AIDA: An Active Inference-Based Design Agent for Audio Processing Algorithms
Frontiers in Signal Processing, 2022 In this paper we present Active Inference-Based Design Agent (AIDA), which is an active inference-based agent that iteratively designs a personalized audio processing algorithm through situated interactions with a human client.
Albert Podusenko +5 more
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The probabilistic model checker Storm [PDF]
International Journal on Software Tools for Technology Transfer, 2021 AbstractWe present the probabilistic model checker Storm. Storm supports the analysis of discrete- and continuous-time variants of both Markov chains and Markov decision processes. Storm has three major distinguishing features. It supports multiple input languages for Markov models, including the Jani and Prism modeling languages, dynamic fault trees ...
Hensel, Hans Christian +4 more
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Probabilistic inference of transcription factor binding from multiple data sources. [PDF]
PLoS ONE, 2008 An important problem in molecular biology is to build a complete understanding of transcriptional regulatory processes in the cell. We have developed a flexible, probabilistic framework to predict TF binding from multiple data sources that differs from ...
Harri Lähdesmäki +2 more
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Learning probabilistic logic models from probabilistic examples [PDF]
Machine Learning, 2008 We revisit an application developed originally using abductive Inductive Logic Programming (ILP) for modeling inhibition in metabolic networks. The example data was derived from studies of the effects of toxins on rats using Nuclear Magnetic Resonance (NMR) time-trace analysis of their biofluids together with background knowledge representing a subset ...
Chen, J, Muggleton, S, Santos, J
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