Incrementally learning new information from a non-stationary stream of data, referred to as ‘continual learning’, is a key feature of natural intelligence, but a challenging problem for deep neural networks. In recent years, numerous deep learning meth
The control and process model, which models the knowledge and metaknowledge used by the expert to attain a goal. An object-oriented metamodel, which outputs the formal knowledge model, providing an efficient, reusable, extendible and easy-to-implement ES architecture. To demonstrate the robustness...
Batch record linkage:Here, for each increment datasetΔD, the record linkage process is executed for the whole dataset D+ΔD. Let us assume a scenario in which our base dataset contains one million records whereas each increment contains one thousand records. In batch record linkage, we have ...
Once this mode is activated, PVS-Studio will automatically analyze all recently modified files in the background immediately after the build is finished. All issued warnings will be collected in the PVS-Studio window:Maven pluginTo enable incremental analysis in the maven plugin, set the ...
We present a querying scheme for the execution of temporal graph queries over history-aware runtime models. Features such as temporal logic operators in queries, the incremental execution, the option to discard history that is no longer relevant to queries, and the in-memory storage of the ...
The behavioral theorists have argued that in a world of uncertainty maximization models can offer very little help in explaining the behavior of firms and ... Richard M. Cyert,JG March - University Library of Munich, Germany 被引量: 7316发表: 2007年 The Innovator's Dilemma The innovator's ...
The adaptive scale-invariant solver for incremental learning, introduced in [1], is a gradient-descent-based objective solver for training linear predictive models. The solver is hyperparameter free, insensitive to differences in predictor variable scales, and does not require prior knowledge of the ...
(this was observed by comparing the complete and the approximate models with the same number of workers in the cluster). Furthermore, our approximate (summarized) computation model is scalable, achieving speedups in the range of 10x–15x while using only 16 workers in our Google Cloud Dataproc ...
Every layer has a preference direction (\(\leftrightarrow \) or \(\updownarrow \), the direction of its tracks); edges in the other direction are more expensive or sometimes even forbidden, depending on the manufacturing process. Horizontal and vertical layers alternate. Moreover, the layers...
We incorporated interaction terms in the fully adjusted regression models to test for interactions between IGP and sex [28], as well as IGP and age, as previously advocated [29]. We considered a P value for interaction of < 0.10 statistically significant. We performed all statistical ...