Results 11 to 20 of about 4,147,721 (229)

On Correlationism and the Philosophy of (Human) Access: Meillassoux and Harman [PDF]

open access: yesOpen Philosophy, 2020
AbstractSpeculative Realism (SR) has often been characterised as a heterogeneous group of thinkers, united almost exclusively in their commitment to the critique of what Quentin Meillassoux terms ‘correlationism’ or what Graham Harman calls the ‘philosophy of (human) access.’ The terms ‘correlationism’ and ‘philosophy of access’ are in turn often ...
Niki L. Young
openaire   +4 more sources

Meillassoux, Correlationism, and the Ontological Difference

open access: yesPhaenEx, 2018
Meillassoux defines “correlationism” as the view that we can only access the mutual dependence of thought and being—specifically, subjectivity and objectivity—which he attributes to Heidegger. This attribution is inapt. It is only by accessing being—via existential analysis—that we can properly distinguish beings like subjects and objects.
G. Bruno
openaire   +4 more sources

Hume's Correlationism: On Meillassoux, Necessity and Belief

open access: yesJournal of French and Francophone Philosophy, 2013
The article argues that Meillassoux's 'After Finitude' underestimates the nature and profundity of Hume's sceptical challenge; it neglects the fact that Hume's scepticism concerns final causes (and agrees fundamentally with Bacon and Descartes in this respect), and that in Hume even the operations of reason do not furnish entirely a priori knowledge ...
P. O’Mahoney
openaire   +4 more sources

Entangled phenomenologies: Reassessing (post-)phenomenology’s promise for human geography

open access: yesProgress in Human Geography, 2021
This article calls into question recent attempts to move beyond, to ‘post’ phenomenology by highlighting the continued relevance of key phenomenological concepts (intentionality and correlationism) for human geography.
M. Hepach
semanticscholar   +1 more source

The advantages of the Matthews correlation coefficient (MCC) over F1 score and accuracy in binary classification evaluation

open access: yesBMC Genomics, 2020
To evaluate binary classifications and their confusion matrices, scientific researchers can employ several statistical rates, accordingly to the goal of the experiment they are investigating.
D. Chicco, Giuseppe Jurman
semanticscholar   +1 more source

Spatial-Temporal Synchronous Graph Convolutional Networks: A New Framework for Spatial-Temporal Network Data Forecasting

open access: yesAAAI Conference on Artificial Intelligence, 2020
Spatial-temporal network data forecasting is of great importance in a huge amount of applications for traffic management and urban planning. However, the underlying complex spatial-temporal correlations and heterogeneities make this problem challenging ...
Chao Song   +3 more
semanticscholar   +1 more source

Body Mass Index

open access: yesDefinitions, 2020
of height and weight; laboratory determination of immuno-biochemical parameters of carbohydrate metabolism and thyroid hormone were determined. To analyze the composition of the intestinal microbiota, fecal samples were taken and the quantitative and ...
Daniel Bell
semanticscholar   +1 more source

A Tutorial on Regularized Partial Correlation Networks [PDF]

open access: yesPsychological methods, 2016
Recent years have seen an emergence of network modeling applied to moods, attitudes, and problems in the realm of psychology. In this framework, psychological variables are understood to directly affect each other rather than being caused by an ...
S. Epskamp, Eiko I. Fried
semanticscholar   +1 more source

Circulating Philosophy: A Note on Two Apparent Misquotations in Alain Badiou's Logics of Worlds [PDF]

open access: yes, 2011
In the opening essay of Conditions (C), "The (Re)Turn of Philosophy Itself," French philosopher Alain Badiou claims that today we labor under a post-metaphysical "paralysis" of philosophy for which it appears that "history has entered the— perhaps ...
John Van Houdt, Vincent van Gerven Oei
core   +1 more source

End-to-End Representation Learning for Correlation Filter Based Tracking [PDF]

open access: yesComputer Vision and Pattern Recognition, 2017
The Correlation Filter is an algorithm that trains a linear template to discriminate between images and their translations. It is well suited to object tracking because its formulation in the Fourier domain provides a fast solution, enabling the detector
Jack Valmadre   +4 more
semanticscholar   +1 more source

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