122,170 research outputs found
NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation
No full textCausal effect estimation from observational data is a central problem in causal inference. Methods based on potential outcomes framework solve this problem by exploiting inductive biases and heuristics from causal inference. Each of these methods addresses a specific aspect of causal effect estimation, such as controlling propensity score, enforcing randomization, etc., by designing neural network (NN) architectures and regularizers. In this paper, we propose an adaptive method called Neurosymbolic Causal Effect Estimator (NESTER), a generalized method for causal effect estimation. NESTER integrates the ideas used in existing methods based on multi-head NNs for causal effect estimation into one framework. We design a Domain Specific Language (DSL) tailored for causal effect estimation based on causal inductive biases used in literature. We conduct a theoretical analysis to investigate NESTER's efficacy in estimating causal effects. Our comprehensive empirical results show that NESTER performs better than state-of-the-art methods on benchmark datasets
Origin of mantle eclogites from the Catoca pipe (Kasai Craton, Western Africa): three eclogite lithologies from two layers of oceanic crust
No full textResearch Data associated with the article "Origin of mantle eclogites from the Catoca pipe (Kasai Craton, Western Africa): three eclogite lithologies from two layers of oceanic crust" by Korolev N., Nikitina L.P., Goncharov A., Dubinina E.O., Melnik A., Müller D., Chen Y.X., Zinchenko V.N. (2019). The article submitted to Geochimica et Cosmochimica Acta (August 2019).
* Corresponding author N. Korolev
[email protected]
NESTER: An Adaptive Neurosymbolic Method for Causal Effect Estimation
No full textCausal effect estimation from observational data is a central problem in
causal inference. Methods based on potential outcomes framework solve this
problem by exploiting inductive biases and heuristics from causal inference.
Each of these methods addresses a specific aspect of causal effect estimation,
such as controlling propensity score, enforcing randomization, etc., by
designing neural network (NN) architectures and regularizers. In this paper, we
propose an adaptive method called Neurosymbolic Causal Effect Estimator
(NESTER), a generalized method for causal effect estimation. NESTER integrates
the ideas used in existing methods based on multi-head NNs for causal effect
estimation into one framework. We design a Domain Specific Language (DSL)
tailored for causal effect estimation based on causal inductive biases used in
literature. We conduct a theoretical analysis to investigate NESTER's efficacy
in estimating causal effects. Our comprehensive empirical results show that
NESTER performs better than state-of-the-art methods on benchmark datasets.Comment: AAAI 202
A Multi-Language Comparison of Influences on Author Verification using Character N-Grams
No full textWe create a new multi-language corpus for author verification based on Wikipedia talkpages, and evaluate the influence that differences in topic and time have on character n-gram author profiles. Topic alignment between two texts is found to increase author verification precision, and an authors writing style is found to change over time, but not more significantly after 3 years than after 1 year.Information ArchitectureWISElectrical Engineering, Mathematics and Computer Scienc
Appropriate Similarity Measures for Author Cocitation Analysis
No full textWe provide a number of new insights into the methodological discussion about author cocitation analysis. We first argue that the use of the Pearson correlation for measuring the similarity between authors’ cocitation profiles is not very satisfactory. We then discuss what kind of similarity measures may be used as an alternative to the Pearson correlation. We consider three similarity measures in particular. One is the well-known cosine. The other two similarity measures have not been used before in the bibliometric literature. Finally, we show by means of an example that our findings have a high practical relevance.information science;Pearson correlation;cosine;similarity measure;author cocitation analysis
The vanishing author in computer-generated works: a critical analysis of recent Australian case law
No full textAbstract
The use of software is ubiquitous in the creation of many copyright works, yet the requirement in copyright law that every work have a human author who engages in independent intellectual effort means that its use may prevent copyright subsistence. Several recent Australian cases have refocused attention on authorship as an essential criterion of copyright subsistence, and these cases suggest that much computer-produced output may be authorless and thus lack copyright protection. This article, the first in a two-part series, analyses how each case deals with the question of authorship of computer-produced works and why the use of software diminishes copyright protection for a significant number of computer-generated works. The article critiques the application of conventional notions of human authorship developed in the pre-computer age to modern productions and suggests alternative approaches to authorship that satisfy both the major objectives of copyright policy and the need to adapt to the computer age. The article argues that, without a broader judicial approach to authorship of computer-generated works, Parliament must remedy the lacuna in protection for these ‘authorless’ works. Possible solutions for reform are suggested. In a forthcoming article, the author comprehensively examines those reform proposals
Diffusive author(s), cohesive author: Analysis of S/N (1994)
No full textThis study indicates the ways in which various aspects of the author(s) are brought forth in Dumb type’s performance art, the S/N production. Previous research has suggested a non-hierarchical organization of Dumb type and the absence of a “privileged author” in Dumb type’s collaborative work, S/N. However, the results that I have investigated from member’s interviews on the creative process of S/N along with my analysis of the recorded images of S/N, indicate a different aspect of the author(s). First, S/N was created through, so to speak, the collective ideas of the members of Dumb type. Further, S/N has at least nine quotations from previous performances, installations, and printed writings, besides the work-in-progress technique. Explicating one of the “author functions” as given by Michel Foucault, each text has plural subjects of the author. However, it has been revealed from members’ interviews that Teiji Furuhashi had a decision-making role in selecting the members’ ideas within the performance. Since then, S/N has had plural subjects of creation; however, Furuhashi is one of the subjects of creation along with the “privileged author.” S/N has plural authors (diffusive authors) yet at the same time, it has a “privileged author,” Teiji Furuhashi (cohesive author)
The NUT in the N=2 superalgebra
No full textWe study how the supersymmetry algebra extension of N = 2 supergravity with central charges describes the NUT charge in a duality covariant way. The stationary BPS states of N = 2 supergravity can be embedded in the flat space solution of the timelike reduced theory. Upon reduction, the Killing superalgebra extension and the global superalgebra of charges are described covariantly under the coset structure of the three-dimensional theory. The integral of the Nester-Witten form given by Gibbons and Hull for N = 2 has a covariant generalization that includes the NUT charge.Astronomy & AstrophysicsPhysics, MultidisciplinaryPhysics, Particles & FieldsSCI(E)1ARTICLE3null2
The overview of online courses of russian as a foreign language
No full textIn this article the author describes in detail the online courses of Russian as a foreign language offered by leading Russian universities. The structure of the courses and the use of the English language as an interlanguage are analysed too. Referring to the researchers, the author draws conclusions about the effectiveness, importance and feasibility of using Internet technologies in teaching foreign languages
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