Results 21 to 30 of about 1,992,313 (335)

A discrete Ramos-Louzada distribution for asymmetric and over-dispersed data with leptokurtic-shaped: Properties and various estimation techniques with inference

AIMS Mathematics, 2022
In this paper, a flexible probability mass function is proposed for modeling count data, especially, asymmetric, and over-dispersed observations. Some of its distributional properties are investigated.
Ahmed Sedky Eldeeb , Muhammad Ahsan-ul-Haq, Mohamed S. Eliwa   +2 more
doaj   +1 more source

What Is Consciousness? Integrated Information vs. Inference

Entropy, 2021
Any successful naturalistic account of consciousness must state what consciousness is, in terms that are compatible with the rest of our naturalistic descriptions of the world. Integrated Information Theory represents a pioneering attempt to do just this.
James E. Cooke
doaj   +1 more source

Abstract Canonical Inference [PDF]

, 2006
An abstract framework of canonical inference is used to explore how different proof orderings induce different variants of saturation and completeness.
Bachmair L., Bachmair L., Bonacina M. P., Dershowitz N., Dershowitz N., Dershowitz N., Dershowitz N., Dershowitz N., Hillenbrand T., Hsiang J., Maria Paola Bonacina, Nachum Dershowitz, Nieuwenhuis R., Riazanov A., Robinson G., Schulz S., Weidenbach C.   +16 more
core   +1 more source

Similarity-based reasoning in conceptual spaces

Frontiers in Psychology, 2023
Whereas the validity of deductive inferences can be characterized in terms of their logical form, this is not true for all inferences that appear pre-theoretically valid.
Igor Douven, Steven Verheyen, Shira Elqayam, Peter Gärdenfors, Matías Osta-Vélez   +4 more
doaj   +1 more source

Big issues for big data: challenges for critical spatial data analytics

Journal of Spatial Information Science, 2020
In this paper we consider some of the issues of working with big data and big spatial data and highlight the need for an open and critical framework. We focus on a set of challenges underlying the collection and analysis of big data.
Chris Brunsdon, Alexis Comber
doaj   +1 more source

Anchoring the mean generation time in the SEIR to mitigate biases in ℜ0 estimates due to uncertainty in the distribution of the epidemiological delays

Royal Society Open Science, 2023
The basic reproduction number, [Formula: see text], is of paramount importance in the study of infectious disease dynamics. Primarily, [Formula: see text] serves as an indicator of the transmission potential of an emerging infectious disease and the ...
Jair Andrade, Jim Duggan
doaj   +1 more source

Generalisations of Fisher Matrices

Entropy, 2016
Fisher matrices play an important role in experimental design and in data analysis. Their primary role is to make predictions for the inference of model parameters—both their errors and covariances.
Alan Heavens
doaj   +1 more source

Amplification, Inference, and the Manifestation of Objective Classical Information

Entropy, 2022
Our everyday reality is characterized by objective information—information that is selected and amplified by the environment that interacts with quantum systems.
Michael Zwolak
doaj   +1 more source

MLPerf Inference Benchmark

, 2020
Machine-learning (ML) hardware and software system demand is burgeoning. Driven by ML applications, the number of different ML inference systems has exploded.
Anderson, Brian, Breughe, Maximilien, Charlebois, Mark, Cheng, Christine, Chou, William, Chukka, Ramesh, Coleman, Cody, Davis, Sam, Deng, Pan, Diamos, Greg, Duke, Jared, Fick, Dave, Gardner, J. Scott, Hubara, Itay, Idgunji, Sachin, Jablin, Thomas B., Jiao, Jeff, John, Tom St., Kanter, David, Kanwar, Pankaj, Lee, David, Liao, Jeffery, Lokhmotov, Anton, Massa, Francisco, Mattson, Peter, Meng, Peng, Micikevicius, Paulius, Osborne, Colin, Pekhimenko, Gennady, Rajan, Arun Tejusve Raghunath, Reddi, Vijay Janapa, Schmuelling, Guenther, Sequeira, Dilip, Sirasao, Ashish, Sun, Fei, Tang, Hanlin, Thomson, Michael, Wei, Frank, Wu, Carole-Jean, Wu, Ephrem, Xu, Lingjie, Yamada, Koichi, Yu, Bing, Yuan, George, Zhang, Peizhao, Zhong, Aaron, Zhou, Yuchen   +46 more
core   +1 more source

Connectionist Inference Models [PDF]

, 2001
The performance of symbolic inference tasks has long been a challenge to connectionists. In this paper, we present an extended survey of this area. Existing connectionist inference systems are reviewed, with particular reference to how they perform ...
Browne, Antony, Sun, Ron
core   +3 more sources