Results 141 to 150 of about 1,125 (237)

Is A Little Learning Dangerous?

open access: yesNoûs, EarlyView.
ABSTRACT I argue that a little learning is often dangerous even for ideal reasoners who are operating in extremely simple scenarios and know all the relevant facts about how the evidence is generated. More precisely, I show that, on many plausible ways of assigning value to a credence in a hypothesis H, ideal Bayesians should sometimes expect other ...
Bernhard Salow
wiley   +1 more source

Higher resonance schemes and Koszul modules of simplicial complexes. [PDF]

open access: yesJ Algebr Comb (Dordr)
Aprodu M   +4 more
europepmc   +1 more source

An Euler system for GU(2, 1). [PDF]

open access: yesMath Ann, 2022
Loeffler D, Skinner C, Zerbes SL.
europepmc   +1 more source

Kinetic parameter prediction using neural networks identifies limitations to C4 photosynthesis

open access: yesNew Phytologist, EarlyView.
Schematic overview of the generation of artificial training data and training of neural networks in C4TUNE. Summary Kinetic models of photosynthesis enable time‐resolved predictions of traits related to this key process and provide the means to identify factors limiting photosynthesis.
Philipp Wendering   +4 more
wiley   +1 more source

Post-Lie algebra structures for perfect Lie algebras. [PDF]

open access: yesCommun Algebra
Burde D, Dekimpe K, Monadjem M.
europepmc   +1 more source

The Mathematical History Behind the Granger–Johansen Representation Theorem

open access: yesOxford Bulletin of Economics and Statistics, EarlyView.
ABSTRACT When can a vector time series that is integrated once (i.e., becomes stationary after taking first differences) be described in error correction form? The answer to this is provided by the Granger–Johansen representation theorem. From a mathematical point of view, the theorem can be viewed as essentially a statement concerning the geometry of ...
Johannes M. Schumacher
wiley   +1 more source

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