Abstract: Designing algorithms to solve math word problems (MWPs) is an important research topic in natural language processing and smart education domains. The task of solving MWPs involves ...

Less than 40% of Green Bay students meet grade-level English language arts standards, according to state testing results for 2023-24. They’re not the only ones who are struggling: Students nationwide ...

Abstract: Higher education is rapidly growing in the online learning landscape. However, current personalized recommendation techniques struggle with the precise extraction of complex mathematical ...

KokkosKernels implements local computational kernels for linear algebra and graph operations, using the Kokkos shared-memory parallel programming model. "Local" means not using MPI, or running within ...

Definition: Graph is a mathematical representation of a network and it describes the relationship between lines and points. A graph consists of some points and lines between them. The length of the ...

This book is concerned with a fundamentally novel approach to graph-based pattern recognition based on vector space embedding of graphs. It aims at condensing the high representational power of graphs ...

Linear functions are used to model a broad range of real-world problems. The ability to solve linear equations and inequalities is an essential skill for analysing these models. This section covers ...

We presented soft directed graphs by extending the notion of soft set to directed graphs. A parameterized perspective for directed graphs is provided by soft directed graphs. In this work, we ...

neutriNote - the original extensible Markdown + Math note app. Non-commerical. No lock-ins. Only 3 MB footprint & highly optimized. Designed for plaintext purists.

Exploring and travelling involves moving between vertices along the edge s of a graph. Understanding the various methods and mathematical principles behind this allows for the identification of the ...