The failure analysis also included whether the missing information was a Kernel concept (the main point of the expression), a Modifier (a concept that changes the meaning of a term in a clinical sense like "severity"), a Qualifier (a concept that changes the meaning of a term in an administrative or temporal sense like "recurrent").
We recognize the following semantic types: Kernel concepts, Modifiers, Qualifiers or Negative Qualifiers [ 19].
A rule base is then applied which organizes the Modifiers, Qualifiers and Negative Qualifiers around the Kernel concepts.
So they started with a small kernel of articles that mention the seed concept in the title.
With adaptively reconfiguring the hardware kernel, SDI concept can easily respond to the rapidly changing user-application-specified needs in measurement and test markets.
The dk-NN AD proposed by Sahigara et al. [12], uses the k-NN principle associated with the concept of adaptive kernel techniques in KDE to detect local neighbourhoods within the data.
The problem of the gain distribution is approached with the aid of solution concepts in coalitional game theory like core, Shapley value, kernel, and nucleolus.
Consequently, wKIERA combines the exploration-exploitation trade-off exhibited by probabilistic model-building stochastic search algorithms for combinatorics [26] with robustness to nonlinear concepts in high-dimensional spaces provided by kernel-based pattern analysis [27].
Traditionally the course emphasizes classical operating systems topics: concurrency, facilities for storage, communication, and protection, kernel services and structure, architecture/OS interaction, distributed systems, and practical application of operating system concepts in real operating systems.
Learning Buber's philosophy, even just a kernel of it, allows students participating in a prisoner's dilemma exercise who are being exposed to the concepts of "integrative negotiation" and "distributive bargaining" for the first time, to reflect in a way that might not otherwise happen, and to see these concepts in a broader context.
In turn, nonparametric techniques based on Parzen kernels and orthogonal series are employed to address concept drift in the problem of non-stationary regressions and classification in a time-varying environment.
