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A comparison of the quality of data-driven programming hint generation algorithms
In the domain of programming, a growing number of algorithms automatically generate data-
driven, next-step hints that suggest how students should edit their code to resolve errors and …
driven, next-step hints that suggest how students should edit their code to resolve errors and …
Bibliometric analysis and systematic literature review of the intelligent tutoring systems
This study is a literature review with educational evaluation mediated by intelligent tutoring
systems (ITS) as its central axis seeking to establish state of the art on implementations …
systems (ITS) as its central axis seeking to establish state of the art on implementations …
The continuous hint factory-providing hints in vast and sparsely populated edit distance spaces
Temporal graph algorithms
L Oettershagen - 2022 - bonndoc.ulb.uni-bonn.de
Temporal graphs are often good models for real-life scenarios due to the inherently dynamic
nature of most real-world activities and processes. A significant difference between …
nature of most real-world activities and processes. A significant difference between …
Manifold structured prediction
Structured prediction provides a general framework to deal with supervised problems where
the outputs have semantically rich structure. While classical approaches consider finite …
the outputs have semantically rich structure. While classical approaches consider finite …
Bayesian tracking of video graphs using joint kalman smoothing and registration
Graph-based representations are becoming increasingly popular for representing and
analyzing video data, especially in object tracking and scene understanding applications …
analyzing video data, especially in object tracking and scene understanding applications …
[HTML][HTML] Data-distribution-informed Nyström approximation for structured data using vector quantization-based landmark determination
We present an effective method for supervised landmark selection in sparse Nyström
approximations of kernel matrices for structured data. Our approach transforms structured …
approximations of kernel matrices for structured data. Our approach transforms structured …
A temporal graphlet kernel for classifying dissemination in evolving networks
We introduce the temporal graphlet kernel for classifying dissemination processes in labeled
temporal graphs. Such processes can be the spreading of (fake) news, infectious diseases …
temporal graphs. Such processes can be the spreading of (fake) news, infectious diseases …