Monthly Notices of the Royal Astronomical SocietyMorais MHM, Correia ACM (2012) Precession due to a close binary system: an alternative explanation for \(\nu \) -Octantis? Mon Not R Astron Soc 419:3447–3456. : 10.1111/j.1365-2966.2011.19986.x...
Chinchilla March 2022 Investigated the optimal model size and number of tokens for training a transformer LLM within a given compute budget (Scaling Laws). PaLM April 2022 A 540-B parameter, densely activated, Transformer, trained using Pathways, (ML system that enables highly efficient training ac...
We propose a formal framework for interpretable machine learning. Combining elements from statistical learning, causal interventionism, and decision theory
Planets orbiting an entire binary could potentially reduce periodicity, since the stars themselves are moving, and therefore not every planetary orbit would produce a transit. But after careful modelling, the team could not produce a simulation that resulted in more than five of the observe...
shows a very clever mathematical approach. Each party raises the common number which is 2 in this example (this has nothing to do with binary—it is just the number "2") to a random power and sends the result to the other. The received number is raised to the same random power. Note...
A central aim of human neuroscience is understanding the neurobiology of cognition and behavior. Although we have made significant progress towards this goal, reliance on group-level studies of the developed adult brain has limited our ability to explain
.89 fraction, Challenge Practice McDougal Littell/Houghton Mifflin Company Pre-Algebra Chapter 6 Resouce Book ansers, system of real number mathimatics topic MCQs for class 9th. Convert radical to exponential solver, slope intercept formula, how to graph the quadratic equation on a ti-84 plus, ...
In the binary classification task of tumour tissue discrimination in publicly available haematoxylin-eosin-stained images of various tumour entities, we investigate three types of biases: (1) biases which affect the entire dataset, (2) biases which are by chance correlated with class labels and (3...
of seizures in multivariate EEG time series. In XAI4EEG, we model the task of seizure detection as a binary classification problem. For this problem, we design two seizure detection methods – 1D-CNN and 3D-CNN – that we fuse in XAI4EEG, where each method incorporates into a ...
Statistical data analysis, especially the advanced machine learning (ML) methods, have attracted considerable interest in clinical practices. We are looking for interpretability of the diagnostic/prognostic results that will bring confidence to doctors,