Notably, algorithms evaluated in this work use unsupervised learning and do not train on labelled data, meaning we use both datasets exclusively for evaluation. As a result, we refer in this work to these datasets as ARC-Easy and ARC-Hard respectively. Core knowledge Each task is designed to...
Numerous critics have argued that fieldwork should not be extractive, meaning it should not collect data for the benefit of the researcher without returning anything to the community. The distinction between the "abstract" and the "on the ground" work done by geographers is thus far from ...
Transfer agents for which kf/kp is comparatively large generally cause a reduction in Rp; the process is then referred to as degradative transfer. Hydrogen abstraction occurs readily if the XH bond in a transfer agent is comparatively weak, meaning that the product radical X• is quite stable...
. 3is Cognalytics, a high-level reference architecture for implementing cognitive analytics. It is a layered architecture and the circled numbers on the right denote layer numbers. We use the terms system and architecture synonymously, and the context should help to elucidate the intended meaning....
Throughout the specification and claims, the following terms take the meanings explicitly associated herein unless the context clearly dictates otherwise. The meaning of “a”, “an”, and “the” include plural references. The meaning of “in” includes “in” and “on.” Referring to the dra...
Each input type implementation knows how to split itself into meaning- ful ranges for processing as separate map tasks (e.g. text mode's range splitting ensures that range splits occur only at line boundaries). User code can add support for a new input type by providing an implementation ...
Data Mining is the study of extracting meaning from large data sets.One part of this is reacting to bias or other noise within a set. In order to improve at doing this, the researchers must determine which classi,ers work on which types of noise.To do this, they use a distribution repr...
(2D-LPP) subspace twice, onto which each frame was projected to obtain a data set of new feature images. In constructing a nearest neighbor graph, k=3 was used; and the d=3 eigenvectors were adopted, meaning that the dimensionality of the final feature subspace was 3×3. The K-means ...
In: Proceedings of the international symposium on requirements engineering (RE), San Diego, CA, USA, January 1993, pp 240–242 Jin Z (2018) Environment modeling-based requirements engineering for software intensive systems. Morgan Kaufmann Google Scholar Jackson M (1997) The meaning of ...
It can be seen here that the input of the hidden layer at the current step includes the output of the hidden layer from the previous steps, which reflects the meaning of “recurrent” and is also one of the underlying reasons for the memory mechanism in RNNs. The output is 𝑜𝑖=...